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- .gitattributes +7 -0
- 0224_txt_b4ff8b53cd9f/meta/.cache_manifest.json +7 -0
- 0224_txt_b4ff8b53cd9f/meta/camera_filter.json +7 -0
- 0224_txt_b4ff8b53cd9f/meta/dimension_filter.json +3 -0
- 0224_txt_b4ff8b53cd9f/meta/label_filter.json +3 -0
- 0224_txt_b4ff8b53cd9f/meta/scene.json +0 -0
- 0224_txt_b4ff8b53cd9f/meta/visibility.json +771 -0
- 0224_txt_b4ff8b53cd9f/meta/world_full.json +41 -0
- 0224_txt_b4ff8b53cd9f/meta/world_metadata.json +53 -0
- 0224_txt_b4ff8b53cd9f/tasks/000_closest_object/question_0.json +51 -0
- 0224_txt_b4ff8b53cd9f/tasks/000_closest_object/question_1.json +51 -0
- 0224_txt_b4ff8b53cd9f/tasks/000_closest_object/question_2.json +51 -0
- 0224_txt_b4ff8b53cd9f/tasks/000_closest_object/question_3.json +51 -0
- 0224_txt_b4ff8b53cd9f/tasks/001_depth_estimation/question_0.json +32 -0
- 0224_txt_b4ff8b53cd9f/tasks/001_depth_estimation/question_1.json +32 -0
- 0224_txt_b4ff8b53cd9f/tasks/001_depth_estimation/question_2.json +32 -0
- 0224_txt_b4ff8b53cd9f/tasks/001_depth_estimation/question_3.json +32 -0
- 0224_txt_b4ff8b53cd9f/tasks/001_depth_estimation/question_4.json +32 -0
- 0224_txt_b4ff8b53cd9f/tasks/001_depth_estimation/question_5.json +32 -0
- 0224_txt_b4ff8b53cd9f/tasks/001_depth_estimation/question_6.json +32 -0
- 0224_txt_b4ff8b53cd9f/tasks/001_depth_estimation/question_7.json +32 -0
- 0224_txt_b4ff8b53cd9f/tasks/001_depth_estimation/question_8.json +32 -0
- 0224_txt_b4ff8b53cd9f/tasks/001_depth_estimation/question_9.json +32 -0
- 0224_txt_b4ff8b53cd9f/tasks/002_distance_estimation/question_0.json +32 -0
- 0224_txt_b4ff8b53cd9f/tasks/002_distance_estimation/question_1.json +32 -0
- 0224_txt_b4ff8b53cd9f/tasks/002_distance_estimation/question_2.json +32 -0
- 0224_txt_b4ff8b53cd9f/tasks/002_distance_estimation/question_3.json +32 -0
- 0224_txt_b4ff8b53cd9f/tasks/002_distance_estimation/question_4.json +32 -0
- 0224_txt_b4ff8b53cd9f/tasks/002_distance_estimation/question_5.json +32 -0
- 0224_txt_b4ff8b53cd9f/tasks/002_distance_estimation/question_6.json +32 -0
- 0224_txt_b4ff8b53cd9f/tasks/002_distance_estimation/question_7.json +32 -0
- 0224_txt_b4ff8b53cd9f/tasks/002_distance_estimation/question_8.json +32 -0
- 0224_txt_b4ff8b53cd9f/tasks/002_distance_estimation/question_9.json +32 -0
- 0224_txt_b4ff8b53cd9f/tasks/003_object_distance/question_0.json +47 -0
- 0224_txt_b4ff8b53cd9f/tasks/003_object_distance/question_1.json +47 -0
- 0224_txt_b4ff8b53cd9f/tasks/003_object_distance/question_2.json +47 -0
- 0224_txt_b4ff8b53cd9f/tasks/005_camera_object_position/question_0.json +39 -0
- 0224_txt_b4ff8b53cd9f/tasks/005_camera_object_position/question_1.json +39 -0
- 0224_txt_b4ff8b53cd9f/tasks/005_camera_object_position/question_2.json +39 -0
- 0224_txt_b4ff8b53cd9f/tasks/005_camera_object_position/question_3.json +39 -0
- 0224_txt_b4ff8b53cd9f/tasks/005_camera_object_position/question_4.json +39 -0
- 0224_txt_b4ff8b53cd9f/tasks/005_camera_object_position/question_5.json +39 -0
- 0224_txt_b4ff8b53cd9f/tasks/006_depth_ordering/question_0.json +72 -0
- 0224_txt_b4ff8b53cd9f/tasks/006_depth_ordering/question_1.json +72 -0
- 0224_txt_b4ff8b53cd9f/tasks/006_depth_ordering/question_10.json +72 -0
- 0224_txt_b4ff8b53cd9f/tasks/006_depth_ordering/question_11.json +72 -0
- 0224_txt_b4ff8b53cd9f/tasks/006_depth_ordering/question_12.json +72 -0
- 0224_txt_b4ff8b53cd9f/tasks/006_depth_ordering/question_13.json +72 -0
- 0224_txt_b4ff8b53cd9f/tasks/006_depth_ordering/question_14.json +72 -0
- 0224_txt_b4ff8b53cd9f/tasks/006_depth_ordering/question_15.json +72 -0
.gitattributes
CHANGED
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@@ -289,3 +289,10 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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0233_txt_487fca88da88/meta/scene.usd filter=lfs diff=lfs merge=lfs -text
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0233_txt_487fca88da88/meta/splat_100k.spz filter=lfs diff=lfs merge=lfs -text
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0233_txt_487fca88da88/meta/splat_150k.spz filter=lfs diff=lfs merge=lfs -text
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0233_txt_487fca88da88/meta/scene.usd filter=lfs diff=lfs merge=lfs -text
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0233_txt_487fca88da88/meta/splat_100k.spz filter=lfs diff=lfs merge=lfs -text
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0233_txt_487fca88da88/meta/splat_150k.spz filter=lfs diff=lfs merge=lfs -text
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0235_txt_f44c88fde8e6/meta/collider_mesh.glb filter=lfs diff=lfs merge=lfs -text
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0235_txt_f44c88fde8e6/meta/splat_500k.spz filter=lfs diff=lfs merge=lfs -text
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0235_txt_f44c88fde8e6/meta/scene.ply filter=lfs diff=lfs merge=lfs -text
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0235_txt_f44c88fde8e6/meta/splat_full_res.spz filter=lfs diff=lfs merge=lfs -text
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0235_txt_f44c88fde8e6/meta/scene.usd filter=lfs diff=lfs merge=lfs -text
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0235_txt_f44c88fde8e6/meta/splat_100k.spz filter=lfs diff=lfs merge=lfs -text
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0235_txt_f44c88fde8e6/meta/splat_150k.spz filter=lfs diff=lfs merge=lfs -text
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0224_txt_b4ff8b53cd9f/meta/.cache_manifest.json
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@@ -0,0 +1,7 @@
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{
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"cache_key": "b4ff8b53cd9f9733_marble-1.1_None",
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"world_id": "0f602966-0f6c-465a-a5ef-3eb5e3290b05",
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"operation_id": "5e0aae27-4430-4eb9-8f4c-942fbc09f098",
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"assets_downloaded": true,
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"usd_converted": true
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}
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0224_txt_b4ff8b53cd9f/meta/camera_filter.json
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{
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"rejected": [
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"rand_015",
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"rand_043",
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"rand_061"
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]
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}
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0224_txt_b4ff8b53cd9f/meta/dimension_filter.json
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{
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"excluded": []
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}
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0224_txt_b4ff8b53cd9f/meta/label_filter.json
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@@ -0,0 +1,3 @@
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{
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"excluded": []
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}
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0224_txt_b4ff8b53cd9f/meta/scene.json
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The diff for this file is too large to render.
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0224_txt_b4ff8b53cd9f/meta/visibility.json
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@@ -0,0 +1,771 @@
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|
| 1 |
+
{
|
| 2 |
+
"rand_000": [
|
| 3 |
+
"plant_0",
|
| 4 |
+
"armchair_2"
|
| 5 |
+
],
|
| 6 |
+
"rand_001": [
|
| 7 |
+
"plant_0",
|
| 8 |
+
"armchair_2"
|
| 9 |
+
],
|
| 10 |
+
"rand_002": [
|
| 11 |
+
"armchair_0",
|
| 12 |
+
"side table_0"
|
| 13 |
+
],
|
| 14 |
+
"rand_003": [
|
| 15 |
+
"armchair_0",
|
| 16 |
+
"side table_0",
|
| 17 |
+
"armchair_1"
|
| 18 |
+
],
|
| 19 |
+
"rand_004": [
|
| 20 |
+
"armchair_0",
|
| 21 |
+
"side table_0"
|
| 22 |
+
],
|
| 23 |
+
"rand_005": [
|
| 24 |
+
"plant_0",
|
| 25 |
+
"armchair_2"
|
| 26 |
+
],
|
| 27 |
+
"rand_006": [
|
| 28 |
+
"armchair_0",
|
| 29 |
+
"plant_0",
|
| 30 |
+
"side table_0",
|
| 31 |
+
"armchair_1"
|
| 32 |
+
],
|
| 33 |
+
"rand_007": [
|
| 34 |
+
"armchair_1"
|
| 35 |
+
],
|
| 36 |
+
"rand_008": [
|
| 37 |
+
"armchair_0",
|
| 38 |
+
"side table_0"
|
| 39 |
+
],
|
| 40 |
+
"rand_009": [
|
| 41 |
+
"armchair_1"
|
| 42 |
+
],
|
| 43 |
+
"rand_010": [
|
| 44 |
+
"plant_0",
|
| 45 |
+
"armchair_2"
|
| 46 |
+
],
|
| 47 |
+
"rand_011": [
|
| 48 |
+
"armchair_0",
|
| 49 |
+
"side table_0",
|
| 50 |
+
"armchair_1"
|
| 51 |
+
],
|
| 52 |
+
"rand_012": [
|
| 53 |
+
"armchair_0",
|
| 54 |
+
"plant_0",
|
| 55 |
+
"side table_0",
|
| 56 |
+
"armchair_1"
|
| 57 |
+
],
|
| 58 |
+
"rand_013": [
|
| 59 |
+
"armchair_0",
|
| 60 |
+
"plant_0",
|
| 61 |
+
"side table_0",
|
| 62 |
+
"armchair_1"
|
| 63 |
+
],
|
| 64 |
+
"rand_014": [
|
| 65 |
+
"armchair_0",
|
| 66 |
+
"side table_0"
|
| 67 |
+
],
|
| 68 |
+
"rand_015": [
|
| 69 |
+
"armchair_0",
|
| 70 |
+
"side table_0",
|
| 71 |
+
"armchair_1"
|
| 72 |
+
],
|
| 73 |
+
"rand_016": [
|
| 74 |
+
"armchair_0",
|
| 75 |
+
"side table_0",
|
| 76 |
+
"armchair_1"
|
| 77 |
+
],
|
| 78 |
+
"rand_017": [
|
| 79 |
+
"armchair_0",
|
| 80 |
+
"side table_0",
|
| 81 |
+
"armchair_1"
|
| 82 |
+
],
|
| 83 |
+
"rand_018": [
|
| 84 |
+
"plant_0",
|
| 85 |
+
"armchair_2"
|
| 86 |
+
],
|
| 87 |
+
"rand_019": [
|
| 88 |
+
"armchair_0",
|
| 89 |
+
"side table_0"
|
| 90 |
+
],
|
| 91 |
+
"rand_020": [
|
| 92 |
+
"plant_0",
|
| 93 |
+
"armchair_2"
|
| 94 |
+
],
|
| 95 |
+
"rand_021": [
|
| 96 |
+
"armchair_0",
|
| 97 |
+
"side table_0"
|
| 98 |
+
],
|
| 99 |
+
"rand_022": [
|
| 100 |
+
"plant_0"
|
| 101 |
+
],
|
| 102 |
+
"rand_023": [
|
| 103 |
+
"armchair_0",
|
| 104 |
+
"side table_0"
|
| 105 |
+
],
|
| 106 |
+
"rand_024": [
|
| 107 |
+
"armchair_0",
|
| 108 |
+
"side table_0"
|
| 109 |
+
],
|
| 110 |
+
"rand_025": [
|
| 111 |
+
"plant_0",
|
| 112 |
+
"armchair_2"
|
| 113 |
+
],
|
| 114 |
+
"rand_026": [
|
| 115 |
+
"armchair_0",
|
| 116 |
+
"side table_0",
|
| 117 |
+
"armchair_1"
|
| 118 |
+
],
|
| 119 |
+
"rand_027": [
|
| 120 |
+
"armchair_0",
|
| 121 |
+
"side table_0"
|
| 122 |
+
],
|
| 123 |
+
"rand_028": [
|
| 124 |
+
"armchair_0",
|
| 125 |
+
"side table_0",
|
| 126 |
+
"armchair_1"
|
| 127 |
+
],
|
| 128 |
+
"rand_029": [
|
| 129 |
+
"armchair_0",
|
| 130 |
+
"side table_0"
|
| 131 |
+
],
|
| 132 |
+
"rand_030": [
|
| 133 |
+
"armchair_0",
|
| 134 |
+
"plant_0",
|
| 135 |
+
"side table_0",
|
| 136 |
+
"armchair_1"
|
| 137 |
+
],
|
| 138 |
+
"rand_031": [
|
| 139 |
+
"plant_0"
|
| 140 |
+
],
|
| 141 |
+
"rand_032": [
|
| 142 |
+
"armchair_0",
|
| 143 |
+
"side table_0",
|
| 144 |
+
"armchair_1"
|
| 145 |
+
],
|
| 146 |
+
"rand_033": [
|
| 147 |
+
"plant_0",
|
| 148 |
+
"armchair_2"
|
| 149 |
+
],
|
| 150 |
+
"rand_034": [
|
| 151 |
+
"armchair_0",
|
| 152 |
+
"armchair_1"
|
| 153 |
+
],
|
| 154 |
+
"rand_035": [
|
| 155 |
+
"armchair_0",
|
| 156 |
+
"side table_0",
|
| 157 |
+
"armchair_1"
|
| 158 |
+
],
|
| 159 |
+
"rand_036": [
|
| 160 |
+
"plant_0",
|
| 161 |
+
"armchair_2"
|
| 162 |
+
],
|
| 163 |
+
"rand_037": [
|
| 164 |
+
"armchair_0",
|
| 165 |
+
"side table_0"
|
| 166 |
+
],
|
| 167 |
+
"rand_038": [
|
| 168 |
+
"plant_0",
|
| 169 |
+
"armchair_2"
|
| 170 |
+
],
|
| 171 |
+
"rand_039": [
|
| 172 |
+
"plant_0",
|
| 173 |
+
"armchair_2"
|
| 174 |
+
],
|
| 175 |
+
"rand_040": [
|
| 176 |
+
"armchair_0",
|
| 177 |
+
"side table_0",
|
| 178 |
+
"armchair_1"
|
| 179 |
+
],
|
| 180 |
+
"rand_041": [
|
| 181 |
+
"plant_0"
|
| 182 |
+
],
|
| 183 |
+
"rand_042": [
|
| 184 |
+
"armchair_0",
|
| 185 |
+
"side table_0",
|
| 186 |
+
"armchair_1"
|
| 187 |
+
],
|
| 188 |
+
"rand_043": [
|
| 189 |
+
"armchair_0",
|
| 190 |
+
"side table_0"
|
| 191 |
+
],
|
| 192 |
+
"rand_044": [
|
| 193 |
+
"armchair_0",
|
| 194 |
+
"plant_0",
|
| 195 |
+
"side table_0",
|
| 196 |
+
"armchair_1"
|
| 197 |
+
],
|
| 198 |
+
"rand_045": [
|
| 199 |
+
"plant_0",
|
| 200 |
+
"armchair_2"
|
| 201 |
+
],
|
| 202 |
+
"rand_046": [
|
| 203 |
+
"armchair_0",
|
| 204 |
+
"side table_0",
|
| 205 |
+
"armchair_1"
|
| 206 |
+
],
|
| 207 |
+
"rand_047": [
|
| 208 |
+
"plant_0"
|
| 209 |
+
],
|
| 210 |
+
"rand_048": [
|
| 211 |
+
"armchair_0",
|
| 212 |
+
"plant_0",
|
| 213 |
+
"side table_0",
|
| 214 |
+
"armchair_1"
|
| 215 |
+
],
|
| 216 |
+
"rand_049": [
|
| 217 |
+
"armchair_0",
|
| 218 |
+
"side table_0"
|
| 219 |
+
],
|
| 220 |
+
"rand_050": [
|
| 221 |
+
"armchair_0",
|
| 222 |
+
"side table_0"
|
| 223 |
+
],
|
| 224 |
+
"rand_051": [
|
| 225 |
+
"armchair_1"
|
| 226 |
+
],
|
| 227 |
+
"rand_052": [
|
| 228 |
+
"armchair_0",
|
| 229 |
+
"side table_0"
|
| 230 |
+
],
|
| 231 |
+
"rand_053": [
|
| 232 |
+
"armchair_0",
|
| 233 |
+
"plant_0",
|
| 234 |
+
"side table_0"
|
| 235 |
+
],
|
| 236 |
+
"rand_054": [
|
| 237 |
+
"armchair_0",
|
| 238 |
+
"side table_0"
|
| 239 |
+
],
|
| 240 |
+
"rand_055": [
|
| 241 |
+
"armchair_0",
|
| 242 |
+
"side table_0"
|
| 243 |
+
],
|
| 244 |
+
"rand_056": [
|
| 245 |
+
"plant_0",
|
| 246 |
+
"armchair_2"
|
| 247 |
+
],
|
| 248 |
+
"rand_057": [
|
| 249 |
+
"plant_0"
|
| 250 |
+
],
|
| 251 |
+
"rand_058": [
|
| 252 |
+
"armchair_1"
|
| 253 |
+
],
|
| 254 |
+
"rand_059": [
|
| 255 |
+
"plant_0",
|
| 256 |
+
"armchair_2"
|
| 257 |
+
],
|
| 258 |
+
"rand_060": [
|
| 259 |
+
"armchair_0",
|
| 260 |
+
"side table_0",
|
| 261 |
+
"armchair_1"
|
| 262 |
+
],
|
| 263 |
+
"rand_061": [
|
| 264 |
+
"armchair_0",
|
| 265 |
+
"plant_0",
|
| 266 |
+
"side table_0"
|
| 267 |
+
],
|
| 268 |
+
"rand_062": [
|
| 269 |
+
"armchair_0",
|
| 270 |
+
"armchair_1"
|
| 271 |
+
],
|
| 272 |
+
"rand_063": [
|
| 273 |
+
"plant_0"
|
| 274 |
+
],
|
| 275 |
+
"view_000_edge_left": [
|
| 276 |
+
"armchair_0",
|
| 277 |
+
"side table_0",
|
| 278 |
+
"armchair_1"
|
| 279 |
+
],
|
| 280 |
+
"view_000_edge_right": [],
|
| 281 |
+
"view_000": [
|
| 282 |
+
"armchair_0",
|
| 283 |
+
"side table_0"
|
| 284 |
+
],
|
| 285 |
+
"view_000_step_down": [
|
| 286 |
+
"armchair_0",
|
| 287 |
+
"side table_0"
|
| 288 |
+
],
|
| 289 |
+
"view_000_step_forward": [
|
| 290 |
+
"armchair_0",
|
| 291 |
+
"side table_0"
|
| 292 |
+
],
|
| 293 |
+
"view_000_step_forward_yaw_left": [
|
| 294 |
+
"armchair_0",
|
| 295 |
+
"plant_0",
|
| 296 |
+
"side table_0",
|
| 297 |
+
"armchair_1"
|
| 298 |
+
],
|
| 299 |
+
"view_000_step_forward_yaw_right": [
|
| 300 |
+
"armchair_0",
|
| 301 |
+
"side table_0"
|
| 302 |
+
],
|
| 303 |
+
"view_000_step_left": [
|
| 304 |
+
"armchair_0",
|
| 305 |
+
"side table_0"
|
| 306 |
+
],
|
| 307 |
+
"view_000_step_pitch_down": [
|
| 308 |
+
"armchair_0",
|
| 309 |
+
"side table_0"
|
| 310 |
+
],
|
| 311 |
+
"view_000_step_pitch_up": [
|
| 312 |
+
"armchair_0",
|
| 313 |
+
"side table_0"
|
| 314 |
+
],
|
| 315 |
+
"view_000_step_right": [],
|
| 316 |
+
"view_000_step_up": [
|
| 317 |
+
"armchair_0",
|
| 318 |
+
"side table_0"
|
| 319 |
+
],
|
| 320 |
+
"view_000_step_yaw_left": [
|
| 321 |
+
"armchair_0",
|
| 322 |
+
"side table_0"
|
| 323 |
+
],
|
| 324 |
+
"view_000_step_yaw_right": [
|
| 325 |
+
"side table_0"
|
| 326 |
+
],
|
| 327 |
+
"view_001_edge_left": [
|
| 328 |
+
"armchair_0",
|
| 329 |
+
"side table_0"
|
| 330 |
+
],
|
| 331 |
+
"view_001_edge_right": [],
|
| 332 |
+
"view_001": [
|
| 333 |
+
"side table_0"
|
| 334 |
+
],
|
| 335 |
+
"view_001_step_down": [],
|
| 336 |
+
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|
| 751 |
+
"armchair_1"
|
| 752 |
+
],
|
| 753 |
+
"view_011_step_right": [
|
| 754 |
+
"armchair_0",
|
| 755 |
+
"side table_0"
|
| 756 |
+
],
|
| 757 |
+
"view_011_step_up": [
|
| 758 |
+
"armchair_0",
|
| 759 |
+
"side table_0",
|
| 760 |
+
"armchair_1"
|
| 761 |
+
],
|
| 762 |
+
"view_011_step_yaw_left": [
|
| 763 |
+
"armchair_0",
|
| 764 |
+
"side table_0",
|
| 765 |
+
"armchair_1"
|
| 766 |
+
],
|
| 767 |
+
"view_011_step_yaw_right": [
|
| 768 |
+
"armchair_0",
|
| 769 |
+
"side table_0"
|
| 770 |
+
]
|
| 771 |
+
}
|
0224_txt_b4ff8b53cd9f/meta/world_full.json
ADDED
|
@@ -0,0 +1,41 @@
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"world_id": "0f602966-0f6c-465a-a5ef-3eb5e3290b05",
|
| 3 |
+
"display_name": "This is a dimly lit, modern lounge or wa",
|
| 4 |
+
"tags": null,
|
| 5 |
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"assets": {
|
| 6 |
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"mesh": {
|
| 7 |
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"collider_mesh_url": "https://cdn.marble.worldlabs.ai/0f602966-0f6c-465a-a5ef-3eb5e3290b05/f75ecd8e.glb"
|
| 8 |
+
},
|
| 9 |
+
"imagery": {
|
| 10 |
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"pano_url": "https://cdn.marble.worldlabs.ai/0f602966-0f6c-465a-a5ef-3eb5e3290b05/be1fc564-cdde-486d-b8b0-2a8eb97d0b36_panos/rgb_0.png"
|
| 11 |
+
},
|
| 12 |
+
"splats": {
|
| 13 |
+
"spz_urls": {
|
| 14 |
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"500k": "https://cdn.marble.worldlabs.ai/0f602966-0f6c-465a-a5ef-3eb5e3290b05/6ba03a72-999f-46f2-81fb-2223c468a9d0_ceramic_500k.spz",
|
| 15 |
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"100k": "https://cdn.marble.worldlabs.ai/0f602966-0f6c-465a-a5ef-3eb5e3290b05/2d6b56d3-c314-43ae-9aae-f647609eaeb4_dust_100k.spz",
|
| 16 |
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"150k": "https://cdn.marble.worldlabs.ai/0f602966-0f6c-465a-a5ef-3eb5e3290b05/dfc62ba5-ff16-417c-abaf-c791a48f29df_ceramic_150k.spz",
|
| 17 |
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"full_res": "https://cdn.marble.worldlabs.ai/0f602966-0f6c-465a-a5ef-3eb5e3290b05/dcf1c16b-d437-488d-9dca-c058e012abb2_ceramic.spz"
|
| 18 |
+
},
|
| 19 |
+
"semantics_metadata": {
|
| 20 |
+
"metric_scale_factor": 1.5166367292404175,
|
| 21 |
+
"ground_plane_offset": 1.2210156917572021
|
| 22 |
+
}
|
| 23 |
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},
|
| 24 |
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"thumbnail_url": "https://cdn.marble.worldlabs.ai/0f602966-0f6c-465a-a5ef-3eb5e3290b05/a0930f84-372d-405d-a873-90cdf13b0198_sand_mpi/thumbnail.webp",
|
| 25 |
+
"caption": "The scene is a modern lounge or waiting area, rendered in a realistic style, exuding a calm and subdued atmosphere. The overall tone is sophisticated and minimalist, characterized by clean lines and a restrained color palette. A low-profile, open layout defines the space, with a dark, textured carpet covering the entire floor. Two identical white armchairs are positioned in the foreground and midground, creating a small seating cluster. The armchair on the left is a modern, rounded design with a smooth, white upholstered shell and a low, curved backrest, appearing to be made of vinyl or faux leather with a matte finish. The matching white armchair is positioned slightly forward and to the right of the first, featuring a continuous, curved back and armrest structure. Between these two armchairs, a small, circular side table with a glossy black surface, likely lacquered wood or laminate, is placed, reflecting faint ambient light. The dark brown carpet, made of dense, short-pile fabric with a subtle linear texture, absorbs most of the ambient light, contributing to the room's subdued mood. In the background, a long, rectangular planter with a light beige or off-white exterior contains green foliage and small red flowers, positioned along the right wall and extending diagonally. A dark, vertical structure, possibly a column or wall panel, appears in the upper left background, framing the left edge of the scene. "
|
| 26 |
+
},
|
| 27 |
+
"created_at": "2026-04-10T18:30:35Z",
|
| 28 |
+
"updated_at": "2026-04-10T18:36:00Z",
|
| 29 |
+
"permission": {
|
| 30 |
+
"public": false,
|
| 31 |
+
"allowed_readers": [],
|
| 32 |
+
"allowed_writers": [],
|
| 33 |
+
"allow_id_access": false
|
| 34 |
+
},
|
| 35 |
+
"world_prompt": {
|
| 36 |
+
"text_prompt": "The scene is a modern lounge or waiting area, rendered in a realistic style, exuding a calm and subdued atmosphere. The overall tone is sophisticated and minimalist, characterized by clean lines and a restrained color palette. A low-profile, open layout defines the space, with a dark, textured carpet covering the entire floor. Two identical white armchairs are positioned in the foreground and midground, creating a small seating cluster. The armchair on the left is a modern, rounded design with a smooth, white upholstered shell and a low, curved backrest, appearing to be made of vinyl or faux leather with a matte finish. The matching white armchair is positioned slightly forward and to the right of the first, featuring a continuous, curved back and armrest structure. Between these two armchairs, a small, circular side table with a glossy black surface, likely lacquered wood or laminate, is placed, reflecting faint ambient light. The dark brown carpet, made of dense, short-pile fabric with a subtle linear texture, absorbs most of the ambient light, contributing to the room's subdued mood. In the background, a long, rectangular planter with a light beige or off-white exterior contains green foliage and small red flowers, positioned along the right wall and extending diagonally. A dark, vertical structure, possibly a column or wall panel, appears in the upper left background, framing the left edge of the scene. The 360 scene is faultless.",
|
| 37 |
+
"type": "text"
|
| 38 |
+
},
|
| 39 |
+
"world_marble_url": "https://marble.worldlabs.ai/world/0f602966-0f6c-465a-a5ef-3eb5e3290b05",
|
| 40 |
+
"model": "marble-1.1"
|
| 41 |
+
}
|
0224_txt_b4ff8b53cd9f/meta/world_metadata.json
ADDED
|
@@ -0,0 +1,53 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"operation_id": "5e0aae27-4430-4eb9-8f4c-942fbc09f098",
|
| 3 |
+
"created_at": "2026-04-10T18:30:36Z",
|
| 4 |
+
"updated_at": "2026-04-10T18:36:00Z",
|
| 5 |
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"expires_at": "2026-04-10T21:30:36Z",
|
| 6 |
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"done": true,
|
| 7 |
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"error": null,
|
| 8 |
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"metadata": {
|
| 9 |
+
"progress": {
|
| 10 |
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"status": "SUCCEEDED",
|
| 11 |
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"description": "World generation completed successfully"
|
| 12 |
+
},
|
| 13 |
+
"world_id": "0f602966-0f6c-465a-a5ef-3eb5e3290b05"
|
| 14 |
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},
|
| 15 |
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"response": {
|
| 16 |
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"world_id": "0f602966-0f6c-465a-a5ef-3eb5e3290b05",
|
| 17 |
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"display_name": "",
|
| 18 |
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"tags": null,
|
| 19 |
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"assets": {
|
| 20 |
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"mesh": {
|
| 21 |
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"collider_mesh_url": "https://cdn.marble.worldlabs.ai/0f602966-0f6c-465a-a5ef-3eb5e3290b05/f75ecd8e.glb"
|
| 22 |
+
},
|
| 23 |
+
"imagery": {
|
| 24 |
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"pano_url": "https://cdn.marble.worldlabs.ai/0f602966-0f6c-465a-a5ef-3eb5e3290b05/be1fc564-cdde-486d-b8b0-2a8eb97d0b36_panos/rgb_0.png"
|
| 25 |
+
},
|
| 26 |
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"splats": {
|
| 27 |
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"spz_urls": {
|
| 28 |
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"500k": "https://cdn.marble.worldlabs.ai/0f602966-0f6c-465a-a5ef-3eb5e3290b05/6ba03a72-999f-46f2-81fb-2223c468a9d0_ceramic_500k.spz",
|
| 29 |
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"100k": "https://cdn.marble.worldlabs.ai/0f602966-0f6c-465a-a5ef-3eb5e3290b05/2d6b56d3-c314-43ae-9aae-f647609eaeb4_dust_100k.spz",
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| 30 |
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"150k": "https://cdn.marble.worldlabs.ai/0f602966-0f6c-465a-a5ef-3eb5e3290b05/dfc62ba5-ff16-417c-abaf-c791a48f29df_ceramic_150k.spz",
|
| 31 |
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"full_res": "https://cdn.marble.worldlabs.ai/0f602966-0f6c-465a-a5ef-3eb5e3290b05/dcf1c16b-d437-488d-9dca-c058e012abb2_ceramic.spz"
|
| 32 |
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},
|
| 33 |
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"semantics_metadata": {
|
| 34 |
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"metric_scale_factor": 1.5166367,
|
| 35 |
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"ground_plane_offset": 1.2210157
|
| 36 |
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}
|
| 37 |
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},
|
| 38 |
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"thumbnail_url": "https://cdn.marble.worldlabs.ai/0f602966-0f6c-465a-a5ef-3eb5e3290b05/a0930f84-372d-405d-a873-90cdf13b0198_sand_mpi/thumbnail.webp",
|
| 39 |
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"caption": "The scene is a modern lounge or waiting area, rendered in a realistic style, exuding a calm and subdued atmosphere. The overall tone is sophisticated and minimalist, characterized by clean lines and a restrained color palette. A low-profile, open layout defines the space, with a dark, textured carpet covering the entire floor. Two identical white armchairs are positioned in the foreground and midground, creating a small seating cluster. The armchair on the left is a modern, rounded design with a smooth, white upholstered shell and a low, curved backrest, appearing to be made of vinyl or faux leather with a matte finish. The matching white armchair is positioned slightly forward and to the right of the first, featuring a continuous, curved back and armrest structure. Between these two armchairs, a small, circular side table with a glossy black surface, likely lacquered wood or laminate, is placed, reflecting faint ambient light. The dark brown carpet, made of dense, short-pile fabric with a subtle linear texture, absorbs most of the ambient light, contributing to the room's subdued mood. In the background, a long, rectangular planter with a light beige or off-white exterior contains green foliage and small red flowers, positioned along the right wall and extending diagonally. A dark, vertical structure, possibly a column or wall panel, appears in the upper left background, framing the left edge of the scene. The 360 scene is faultless."
|
| 40 |
+
},
|
| 41 |
+
"created_at": null,
|
| 42 |
+
"updated_at": null,
|
| 43 |
+
"permission": {
|
| 44 |
+
"public": false,
|
| 45 |
+
"allowed_readers": [],
|
| 46 |
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"allowed_writers": [],
|
| 47 |
+
"allow_id_access": false
|
| 48 |
+
},
|
| 49 |
+
"world_prompt": null,
|
| 50 |
+
"world_marble_url": "https://marble.worldlabs.ai/world/0f602966-0f6c-465a-a5ef-3eb5e3290b05",
|
| 51 |
+
"model": null
|
| 52 |
+
}
|
| 53 |
+
}
|
0224_txt_b4ff8b53cd9f/tasks/000_closest_object/question_0.json
ADDED
|
@@ -0,0 +1,51 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"type": "closest_object",
|
| 3 |
+
"question": "Which of the following is nearer to the camera \u2014 table (blue point) or armchair (red point)? Calculate or judge based on the 3D center points of these objects. Select the correct choice.",
|
| 4 |
+
"choices": [
|
| 5 |
+
"A. table (blue point)",
|
| 6 |
+
"B. armchair (red point)"
|
| 7 |
+
],
|
| 8 |
+
"answer": "A",
|
| 9 |
+
"camera_name": "rand_011",
|
| 10 |
+
"camera_position": [
|
| 11 |
+
0.21618858518539094,
|
| 12 |
+
0.7813858133728087,
|
| 13 |
+
0.7397297036156243
|
| 14 |
+
],
|
| 15 |
+
"camera_look_at": [
|
| 16 |
+
-2.36960632206276,
|
| 17 |
+
-1.1807681684408249,
|
| 18 |
+
-0.2580443867849709
|
| 19 |
+
],
|
| 20 |
+
"blue": {
|
| 21 |
+
"circle_color": "blue",
|
| 22 |
+
"label": "table",
|
| 23 |
+
"id": "table_0",
|
| 24 |
+
"centroid": [
|
| 25 |
+
-0.26236143708229065,
|
| 26 |
+
-1.3929784297943115,
|
| 27 |
+
-0.56494140625
|
| 28 |
+
],
|
| 29 |
+
"distance_to_camera": 2.580510935976463,
|
| 30 |
+
"width": 0.29248046875,
|
| 31 |
+
"length": 0.2682032585144043,
|
| 32 |
+
"height": 0.46435546875
|
| 33 |
+
},
|
| 34 |
+
"red": {
|
| 35 |
+
"circle_color": "red",
|
| 36 |
+
"label": "armchair",
|
| 37 |
+
"id": "armchair_1",
|
| 38 |
+
"centroid": [
|
| 39 |
+
-2.384279727935791,
|
| 40 |
+
-1.1442111730575562,
|
| 41 |
+
-0.524472713470459
|
| 42 |
+
],
|
| 43 |
+
"distance_to_camera": 3.4739843052413644,
|
| 44 |
+
"width": 0.8081159591674805,
|
| 45 |
+
"length": 0.6546582579612732,
|
| 46 |
+
"height": 0.48839855194091797
|
| 47 |
+
},
|
| 48 |
+
"scene_id": "0224_txt_b4ff8b53cd9f",
|
| 49 |
+
"layout_path": null,
|
| 50 |
+
"image_path": "question_image_0.jpg"
|
| 51 |
+
}
|
0224_txt_b4ff8b53cd9f/tasks/000_closest_object/question_1.json
ADDED
|
@@ -0,0 +1,51 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"type": "closest_object",
|
| 3 |
+
"question": "Of armchair (blue point) and table (red point), which is positioned closer to the camera? Calculate or judge based on the 3D center points of these objects. Select your answer from the choices.",
|
| 4 |
+
"choices": [
|
| 5 |
+
"A. armchair (blue point)",
|
| 6 |
+
"B. table (red point)"
|
| 7 |
+
],
|
| 8 |
+
"answer": "B",
|
| 9 |
+
"camera_name": "view_011",
|
| 10 |
+
"camera_position": [
|
| 11 |
+
-0.0,
|
| 12 |
+
-0.0,
|
| 13 |
+
0.0
|
| 14 |
+
],
|
| 15 |
+
"camera_look_at": [
|
| 16 |
+
-4.829628944396973,
|
| 17 |
+
-8.36516284942627,
|
| 18 |
+
-2.5881905555725098
|
| 19 |
+
],
|
| 20 |
+
"blue": {
|
| 21 |
+
"circle_color": "blue",
|
| 22 |
+
"label": "armchair",
|
| 23 |
+
"id": "armchair_1",
|
| 24 |
+
"centroid": [
|
| 25 |
+
-2.384279727935791,
|
| 26 |
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-1.1442111730575562,
|
| 27 |
+
-0.524472713470459
|
| 28 |
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],
|
| 29 |
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"distance_to_camera": 2.696123264387291,
|
| 30 |
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"width": 0.8081159591674805,
|
| 31 |
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"length": 0.6546582579612732,
|
| 32 |
+
"height": 0.48839855194091797
|
| 33 |
+
},
|
| 34 |
+
"red": {
|
| 35 |
+
"circle_color": "red",
|
| 36 |
+
"label": "table",
|
| 37 |
+
"id": "table_0",
|
| 38 |
+
"centroid": [
|
| 39 |
+
-0.26236143708229065,
|
| 40 |
+
-1.3929784297943115,
|
| 41 |
+
-0.56494140625
|
| 42 |
+
],
|
| 43 |
+
"distance_to_camera": 1.5259034117649248,
|
| 44 |
+
"width": 0.29248046875,
|
| 45 |
+
"length": 0.2682032585144043,
|
| 46 |
+
"height": 0.46435546875
|
| 47 |
+
},
|
| 48 |
+
"scene_id": "0224_txt_b4ff8b53cd9f",
|
| 49 |
+
"layout_path": null,
|
| 50 |
+
"image_path": "question_image_1.jpg"
|
| 51 |
+
}
|
0224_txt_b4ff8b53cd9f/tasks/000_closest_object/question_2.json
ADDED
|
@@ -0,0 +1,51 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"type": "closest_object",
|
| 3 |
+
"question": "Which is closer to the camera, armchair (blue point) or plant (red point)? Calculate or judge based on the 3D center points of these objects. Select the appropriate response from the given choices.",
|
| 4 |
+
"choices": [
|
| 5 |
+
"A. armchair (blue point)",
|
| 6 |
+
"B. plant (red point)"
|
| 7 |
+
],
|
| 8 |
+
"answer": "B",
|
| 9 |
+
"camera_name": "rand_062",
|
| 10 |
+
"camera_position": [
|
| 11 |
+
0.3584645533043048,
|
| 12 |
+
1.0553436254450452,
|
| 13 |
+
0.673315117092675
|
| 14 |
+
],
|
| 15 |
+
"camera_look_at": [
|
| 16 |
+
-2.463384070488849,
|
| 17 |
+
-1.1501314791714599,
|
| 18 |
+
-0.3320714702054621
|
| 19 |
+
],
|
| 20 |
+
"blue": {
|
| 21 |
+
"circle_color": "blue",
|
| 22 |
+
"label": "armchair",
|
| 23 |
+
"id": "armchair_0",
|
| 24 |
+
"centroid": [
|
| 25 |
+
-0.7894498705863953,
|
| 26 |
+
-1.7014870643615723,
|
| 27 |
+
-0.515380859375
|
| 28 |
+
],
|
| 29 |
+
"distance_to_camera": 3.2141594704224596,
|
| 30 |
+
"width": 0.550048828125,
|
| 31 |
+
"length": 0.701416015625,
|
| 32 |
+
"height": 0.46826171875
|
| 33 |
+
},
|
| 34 |
+
"red": {
|
| 35 |
+
"circle_color": "red",
|
| 36 |
+
"label": "plant",
|
| 37 |
+
"id": "plant_0",
|
| 38 |
+
"centroid": [
|
| 39 |
+
-0.50859135389328,
|
| 40 |
+
0.7140958905220032,
|
| 41 |
+
-0.0146484375
|
| 42 |
+
],
|
| 43 |
+
"distance_to_camera": 1.1582442813345215,
|
| 44 |
+
"width": 1.5822370201349258,
|
| 45 |
+
"length": 0.643310546875,
|
| 46 |
+
"height": 0.322265625
|
| 47 |
+
},
|
| 48 |
+
"scene_id": "0224_txt_b4ff8b53cd9f",
|
| 49 |
+
"layout_path": null,
|
| 50 |
+
"image_path": "question_image_2.jpg"
|
| 51 |
+
}
|
0224_txt_b4ff8b53cd9f/tasks/000_closest_object/question_3.json
ADDED
|
@@ -0,0 +1,51 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"type": "closest_object",
|
| 3 |
+
"question": "Out of plant (blue point) and armchair (red point), which object is the nearest to the camera? Calculate or judge based on the 3D center points of these objects. Choose the appropriate answer.",
|
| 4 |
+
"choices": [
|
| 5 |
+
"A. plant (blue point)",
|
| 6 |
+
"B. armchair (red point)"
|
| 7 |
+
],
|
| 8 |
+
"answer": "A",
|
| 9 |
+
"camera_name": "rand_062",
|
| 10 |
+
"camera_position": [
|
| 11 |
+
0.3584645533043048,
|
| 12 |
+
1.0553436254450452,
|
| 13 |
+
0.673315117092675
|
| 14 |
+
],
|
| 15 |
+
"camera_look_at": [
|
| 16 |
+
-2.463384070488849,
|
| 17 |
+
-1.1501314791714599,
|
| 18 |
+
-0.3320714702054621
|
| 19 |
+
],
|
| 20 |
+
"blue": {
|
| 21 |
+
"circle_color": "blue",
|
| 22 |
+
"label": "plant",
|
| 23 |
+
"id": "plant_0",
|
| 24 |
+
"centroid": [
|
| 25 |
+
-0.50859135389328,
|
| 26 |
+
0.7140958905220032,
|
| 27 |
+
-0.0146484375
|
| 28 |
+
],
|
| 29 |
+
"distance_to_camera": 1.1582442813345215,
|
| 30 |
+
"width": 1.5822370201349258,
|
| 31 |
+
"length": 0.643310546875,
|
| 32 |
+
"height": 0.322265625
|
| 33 |
+
},
|
| 34 |
+
"red": {
|
| 35 |
+
"circle_color": "red",
|
| 36 |
+
"label": "armchair",
|
| 37 |
+
"id": "armchair_0",
|
| 38 |
+
"centroid": [
|
| 39 |
+
-0.7894498705863953,
|
| 40 |
+
-1.7014870643615723,
|
| 41 |
+
-0.515380859375
|
| 42 |
+
],
|
| 43 |
+
"distance_to_camera": 3.2141594704224596,
|
| 44 |
+
"width": 0.550048828125,
|
| 45 |
+
"length": 0.701416015625,
|
| 46 |
+
"height": 0.46826171875
|
| 47 |
+
},
|
| 48 |
+
"scene_id": "0224_txt_b4ff8b53cd9f",
|
| 49 |
+
"layout_path": null,
|
| 50 |
+
"image_path": "question_image_3.jpg"
|
| 51 |
+
}
|
0224_txt_b4ff8b53cd9f/tasks/001_depth_estimation/question_0.json
ADDED
|
@@ -0,0 +1,32 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"type": "depth_estimation",
|
| 3 |
+
"question": "Calculate the depth of the armchair (red point) from the camera viewpoint. Calculate or judge based on the 3D center points of these objects. State the answer in meters as one number.",
|
| 4 |
+
"answer": "1.38",
|
| 5 |
+
"camera_name": "rand_020",
|
| 6 |
+
"camera_position": [
|
| 7 |
+
-0.8128856415093202,
|
| 8 |
+
-0.6779952191779635,
|
| 9 |
+
0.6364681785271182
|
| 10 |
+
],
|
| 11 |
+
"camera_look_at": [
|
| 12 |
+
-0.15325294072466833,
|
| 13 |
+
-1.4962867742324744,
|
| 14 |
+
-0.35286576539506354
|
| 15 |
+
],
|
| 16 |
+
"object": {
|
| 17 |
+
"label": "armchair",
|
| 18 |
+
"id": "armchair_0",
|
| 19 |
+
"centroid": [
|
| 20 |
+
-0.7894498705863953,
|
| 21 |
+
-1.7014870643615723,
|
| 22 |
+
-0.515380859375
|
| 23 |
+
],
|
| 24 |
+
"depth": 1.38,
|
| 25 |
+
"width": 0.550048828125,
|
| 26 |
+
"length": 0.701416015625,
|
| 27 |
+
"height": 0.46826171875
|
| 28 |
+
},
|
| 29 |
+
"scene_id": "0224_txt_b4ff8b53cd9f",
|
| 30 |
+
"layout_path": null,
|
| 31 |
+
"image_path": "question_image_0.jpg"
|
| 32 |
+
}
|
0224_txt_b4ff8b53cd9f/tasks/001_depth_estimation/question_1.json
ADDED
|
@@ -0,0 +1,32 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"type": "depth_estimation",
|
| 3 |
+
"question": "Estimate the depth in meters of the armchair (red point). Calculate or judge based on the 3D center points of these objects. Respond with only a number.",
|
| 4 |
+
"answer": "1.34",
|
| 5 |
+
"camera_name": "rand_046",
|
| 6 |
+
"camera_position": [
|
| 7 |
+
-0.8894468609446238,
|
| 8 |
+
-0.4383896498083999,
|
| 9 |
+
-0.08305538265357448
|
| 10 |
+
],
|
| 11 |
+
"camera_look_at": [
|
| 12 |
+
-0.7988401950001043,
|
| 13 |
+
-1.6762672888946997,
|
| 14 |
+
-0.5396737290854005
|
| 15 |
+
],
|
| 16 |
+
"object": {
|
| 17 |
+
"label": "armchair",
|
| 18 |
+
"id": "armchair_0",
|
| 19 |
+
"centroid": [
|
| 20 |
+
-0.7894498705863953,
|
| 21 |
+
-1.7014870643615723,
|
| 22 |
+
-0.515380859375
|
| 23 |
+
],
|
| 24 |
+
"depth": 1.34,
|
| 25 |
+
"width": 0.550048828125,
|
| 26 |
+
"length": 0.701416015625,
|
| 27 |
+
"height": 0.46826171875
|
| 28 |
+
},
|
| 29 |
+
"scene_id": "0224_txt_b4ff8b53cd9f",
|
| 30 |
+
"layout_path": null,
|
| 31 |
+
"image_path": "question_image_1.jpg"
|
| 32 |
+
}
|
0224_txt_b4ff8b53cd9f/tasks/001_depth_estimation/question_2.json
ADDED
|
@@ -0,0 +1,32 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"type": "depth_estimation",
|
| 3 |
+
"question": "Estimate the depth in meters of the table (red point). Calculate or judge based on the 3D center points of these objects. Respond with only a number.",
|
| 4 |
+
"answer": "1.1",
|
| 5 |
+
"camera_name": "rand_046",
|
| 6 |
+
"camera_position": [
|
| 7 |
+
-0.8894468609446238,
|
| 8 |
+
-0.4383896498083999,
|
| 9 |
+
-0.08305538265357448
|
| 10 |
+
],
|
| 11 |
+
"camera_look_at": [
|
| 12 |
+
-0.7988401950001043,
|
| 13 |
+
-1.6762672888946997,
|
| 14 |
+
-0.5396737290854005
|
| 15 |
+
],
|
| 16 |
+
"object": {
|
| 17 |
+
"label": "table",
|
| 18 |
+
"id": "table_0",
|
| 19 |
+
"centroid": [
|
| 20 |
+
-0.26236143708229065,
|
| 21 |
+
-1.3929784297943115,
|
| 22 |
+
-0.56494140625
|
| 23 |
+
],
|
| 24 |
+
"depth": 1.1,
|
| 25 |
+
"width": 0.29248046875,
|
| 26 |
+
"length": 0.2682032585144043,
|
| 27 |
+
"height": 0.46435546875
|
| 28 |
+
},
|
| 29 |
+
"scene_id": "0224_txt_b4ff8b53cd9f",
|
| 30 |
+
"layout_path": null,
|
| 31 |
+
"image_path": "question_image_2.jpg"
|
| 32 |
+
}
|
0224_txt_b4ff8b53cd9f/tasks/001_depth_estimation/question_3.json
ADDED
|
@@ -0,0 +1,32 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"type": "depth_estimation",
|
| 3 |
+
"question": "How deep is the table (red point) from the camera? Calculate or judge based on the 3D center points of these objects. Give the answer in meters as a single number.",
|
| 4 |
+
"answer": "1.36",
|
| 5 |
+
"camera_name": "rand_058",
|
| 6 |
+
"camera_position": [
|
| 7 |
+
-0.34307807518980543,
|
| 8 |
+
-0.7315824562192703,
|
| 9 |
+
0.6466247052945393
|
| 10 |
+
],
|
| 11 |
+
"camera_look_at": [
|
| 12 |
+
-0.10178357559966134,
|
| 13 |
+
-1.4545721592506393,
|
| 14 |
+
-0.35674249675139547
|
| 15 |
+
],
|
| 16 |
+
"object": {
|
| 17 |
+
"label": "table",
|
| 18 |
+
"id": "table_0",
|
| 19 |
+
"centroid": [
|
| 20 |
+
-0.26236143708229065,
|
| 21 |
+
-1.3929784297943115,
|
| 22 |
+
-0.56494140625
|
| 23 |
+
],
|
| 24 |
+
"depth": 1.36,
|
| 25 |
+
"width": 0.29248046875,
|
| 26 |
+
"length": 0.2682032585144043,
|
| 27 |
+
"height": 0.46435546875
|
| 28 |
+
},
|
| 29 |
+
"scene_id": "0224_txt_b4ff8b53cd9f",
|
| 30 |
+
"layout_path": null,
|
| 31 |
+
"image_path": "question_image_3.jpg"
|
| 32 |
+
}
|
0224_txt_b4ff8b53cd9f/tasks/001_depth_estimation/question_4.json
ADDED
|
@@ -0,0 +1,32 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"type": "depth_estimation",
|
| 3 |
+
"question": "What depth value in meters corresponds to the armchair (red point)? Calculate or judge based on the 3D center points of these objects. Answer with a number only.",
|
| 4 |
+
"answer": "2.75",
|
| 5 |
+
"camera_name": "rand_015",
|
| 6 |
+
"camera_position": [
|
| 7 |
+
-0.023500951886631993,
|
| 8 |
+
0.5720328401998794,
|
| 9 |
+
0.9052064115988165
|
| 10 |
+
],
|
| 11 |
+
"camera_look_at": [
|
| 12 |
+
-0.7792739375520676,
|
| 13 |
+
-1.6830618290965067,
|
| 14 |
+
-0.12297606299711417
|
| 15 |
+
],
|
| 16 |
+
"object": {
|
| 17 |
+
"label": "armchair",
|
| 18 |
+
"id": "armchair_1",
|
| 19 |
+
"centroid": [
|
| 20 |
+
-2.384279727935791,
|
| 21 |
+
-1.1442111730575562,
|
| 22 |
+
-0.524472713470459
|
| 23 |
+
],
|
| 24 |
+
"depth": 2.75,
|
| 25 |
+
"width": 0.8081159591674805,
|
| 26 |
+
"length": 0.6546582579612732,
|
| 27 |
+
"height": 0.48839855194091797
|
| 28 |
+
},
|
| 29 |
+
"scene_id": "0224_txt_b4ff8b53cd9f",
|
| 30 |
+
"layout_path": null,
|
| 31 |
+
"image_path": "question_image_4.jpg"
|
| 32 |
+
}
|
0224_txt_b4ff8b53cd9f/tasks/001_depth_estimation/question_5.json
ADDED
|
@@ -0,0 +1,32 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"type": "depth_estimation",
|
| 3 |
+
"question": "Estimate the depth in meters of the armchair (red point). Calculate or judge based on the 3D center points of these objects. Respond with only a number.",
|
| 4 |
+
"answer": "2.39",
|
| 5 |
+
"camera_name": "rand_022",
|
| 6 |
+
"camera_position": [
|
| 7 |
+
-0.21925444311852443,
|
| 8 |
+
-0.28238771182842193,
|
| 9 |
+
-0.007977147734841705
|
| 10 |
+
],
|
| 11 |
+
"camera_look_at": [
|
| 12 |
+
-2.408301551225767,
|
| 13 |
+
-1.0982985281943034,
|
| 14 |
+
-0.5137786211358992
|
| 15 |
+
],
|
| 16 |
+
"object": {
|
| 17 |
+
"label": "armchair",
|
| 18 |
+
"id": "armchair_1",
|
| 19 |
+
"centroid": [
|
| 20 |
+
-2.384279727935791,
|
| 21 |
+
-1.1442111730575562,
|
| 22 |
+
-0.524472713470459
|
| 23 |
+
],
|
| 24 |
+
"depth": 2.39,
|
| 25 |
+
"width": 0.8081159591674805,
|
| 26 |
+
"length": 0.6546582579612732,
|
| 27 |
+
"height": 0.48839855194091797
|
| 28 |
+
},
|
| 29 |
+
"scene_id": "0224_txt_b4ff8b53cd9f",
|
| 30 |
+
"layout_path": null,
|
| 31 |
+
"image_path": "question_image_5.jpg"
|
| 32 |
+
}
|
0224_txt_b4ff8b53cd9f/tasks/001_depth_estimation/question_6.json
ADDED
|
@@ -0,0 +1,32 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"type": "depth_estimation",
|
| 3 |
+
"question": "How deep is the plant (red point) from the camera? Calculate or judge based on the 3D center points of these objects. Give the answer in meters as a single number.",
|
| 4 |
+
"answer": "1.02",
|
| 5 |
+
"camera_name": "rand_001",
|
| 6 |
+
"camera_position": [
|
| 7 |
+
-1.0771360256805445,
|
| 8 |
+
-0.09593169920457814,
|
| 9 |
+
0.23787967886771622
|
| 10 |
+
],
|
| 11 |
+
"camera_look_at": [
|
| 12 |
+
-0.5069147878539169,
|
| 13 |
+
0.7267577584891063,
|
| 14 |
+
-0.020960280796273434
|
| 15 |
+
],
|
| 16 |
+
"object": {
|
| 17 |
+
"label": "plant",
|
| 18 |
+
"id": "plant_0",
|
| 19 |
+
"centroid": [
|
| 20 |
+
-0.50859135389328,
|
| 21 |
+
0.7140958905220032,
|
| 22 |
+
-0.0146484375
|
| 23 |
+
],
|
| 24 |
+
"depth": 1.02,
|
| 25 |
+
"width": 1.5822370201349258,
|
| 26 |
+
"length": 0.643310546875,
|
| 27 |
+
"height": 0.322265625
|
| 28 |
+
},
|
| 29 |
+
"scene_id": "0224_txt_b4ff8b53cd9f",
|
| 30 |
+
"layout_path": null,
|
| 31 |
+
"image_path": "question_image_6.jpg"
|
| 32 |
+
}
|
0224_txt_b4ff8b53cd9f/tasks/001_depth_estimation/question_7.json
ADDED
|
@@ -0,0 +1,32 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"type": "depth_estimation",
|
| 3 |
+
"question": "What depth value in meters corresponds to the plant (red point)? Calculate or judge based on the 3D center points of these objects. Answer with a number only.",
|
| 4 |
+
"answer": "2.21",
|
| 5 |
+
"camera_name": "rand_053",
|
| 6 |
+
"camera_position": [
|
| 7 |
+
-2.069452227952233,
|
| 8 |
+
-0.8560192495632344,
|
| 9 |
+
-0.06552464008477554
|
| 10 |
+
],
|
| 11 |
+
"camera_look_at": [
|
| 12 |
+
-0.560593676499562,
|
| 13 |
+
0.7138049607659243,
|
| 14 |
+
-0.1977508772183524
|
| 15 |
+
],
|
| 16 |
+
"object": {
|
| 17 |
+
"label": "plant",
|
| 18 |
+
"id": "plant_0",
|
| 19 |
+
"centroid": [
|
| 20 |
+
-0.50859135389328,
|
| 21 |
+
0.7140958905220032,
|
| 22 |
+
-0.0146484375
|
| 23 |
+
],
|
| 24 |
+
"depth": 2.21,
|
| 25 |
+
"width": 1.5822370201349258,
|
| 26 |
+
"length": 0.643310546875,
|
| 27 |
+
"height": 0.322265625
|
| 28 |
+
},
|
| 29 |
+
"scene_id": "0224_txt_b4ff8b53cd9f",
|
| 30 |
+
"layout_path": null,
|
| 31 |
+
"image_path": "question_image_7.jpg"
|
| 32 |
+
}
|
0224_txt_b4ff8b53cd9f/tasks/001_depth_estimation/question_8.json
ADDED
|
@@ -0,0 +1,32 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"type": "depth_estimation",
|
| 3 |
+
"question": "Measure the depth to the side table (red point) in meters. Calculate or judge based on the 3D center points of these objects. Reply with a single number.",
|
| 4 |
+
"answer": "2.2",
|
| 5 |
+
"camera_name": "view_006",
|
| 6 |
+
"camera_position": [
|
| 7 |
+
-0.0,
|
| 8 |
+
-0.0,
|
| 9 |
+
0.0
|
| 10 |
+
],
|
| 11 |
+
"camera_look_at": [
|
| 12 |
+
1.1829179332573624e-15,
|
| 13 |
+
9.659257888793945,
|
| 14 |
+
-2.5881905555725098
|
| 15 |
+
],
|
| 16 |
+
"object": {
|
| 17 |
+
"label": "side table",
|
| 18 |
+
"id": "side table_0",
|
| 19 |
+
"centroid": [
|
| 20 |
+
1.3584997653961182,
|
| 21 |
+
2.1342663764953613,
|
| 22 |
+
-0.5539111495018005
|
| 23 |
+
],
|
| 24 |
+
"depth": 2.2,
|
| 25 |
+
"width": 0.3619776964187622,
|
| 26 |
+
"length": 0.638124942779541,
|
| 27 |
+
"height": 0.4298340082168579
|
| 28 |
+
},
|
| 29 |
+
"scene_id": "0224_txt_b4ff8b53cd9f",
|
| 30 |
+
"layout_path": null,
|
| 31 |
+
"image_path": "question_image_8.jpg"
|
| 32 |
+
}
|
0224_txt_b4ff8b53cd9f/tasks/001_depth_estimation/question_9.json
ADDED
|
@@ -0,0 +1,32 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"type": "depth_estimation",
|
| 3 |
+
"question": "How far along the depth axis is the side table (red point) from the camera? Calculate or judge based on the 3D center points of these objects. Answer in meters only.",
|
| 4 |
+
"answer": "2.58",
|
| 5 |
+
"camera_name": "view_005",
|
| 6 |
+
"camera_position": [
|
| 7 |
+
-0.0,
|
| 8 |
+
-0.0,
|
| 9 |
+
0.0
|
| 10 |
+
],
|
| 11 |
+
"camera_look_at": [
|
| 12 |
+
4.829628944396973,
|
| 13 |
+
8.36516284942627,
|
| 14 |
+
-2.5881905555725098
|
| 15 |
+
],
|
| 16 |
+
"object": {
|
| 17 |
+
"label": "side table",
|
| 18 |
+
"id": "side table_0",
|
| 19 |
+
"centroid": [
|
| 20 |
+
1.3584997653961182,
|
| 21 |
+
2.1342663764953613,
|
| 22 |
+
-0.5539111495018005
|
| 23 |
+
],
|
| 24 |
+
"depth": 2.58,
|
| 25 |
+
"width": 0.3619776964187622,
|
| 26 |
+
"length": 0.638124942779541,
|
| 27 |
+
"height": 0.4298340082168579
|
| 28 |
+
},
|
| 29 |
+
"scene_id": "0224_txt_b4ff8b53cd9f",
|
| 30 |
+
"layout_path": null,
|
| 31 |
+
"image_path": "question_image_9.jpg"
|
| 32 |
+
}
|
0224_txt_b4ff8b53cd9f/tasks/002_distance_estimation/question_0.json
ADDED
|
@@ -0,0 +1,32 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"type": "distance_estimation",
|
| 3 |
+
"question": "How many meters is the table (red point) from the image capture point? Calculate or judge based on the 3D center points of these objects. Provide only the numerical value.",
|
| 4 |
+
"answer": "1.27",
|
| 5 |
+
"camera_name": "rand_039",
|
| 6 |
+
"camera_position": [
|
| 7 |
+
-0.4699158467775987,
|
| 8 |
+
-0.4590721252892668,
|
| 9 |
+
0.27358462596585187
|
| 10 |
+
],
|
| 11 |
+
"camera_look_at": [
|
| 12 |
+
-0.24741750590820621,
|
| 13 |
+
-1.4462373173528187,
|
| 14 |
+
-0.5583020689054532
|
| 15 |
+
],
|
| 16 |
+
"object": {
|
| 17 |
+
"label": "table",
|
| 18 |
+
"id": "table_0",
|
| 19 |
+
"centroid": [
|
| 20 |
+
-0.26236143708229065,
|
| 21 |
+
-1.3929784297943115,
|
| 22 |
+
-0.56494140625
|
| 23 |
+
],
|
| 24 |
+
"distance": 1.272157901080639,
|
| 25 |
+
"width": 0.29248046875,
|
| 26 |
+
"length": 0.2682032585144043,
|
| 27 |
+
"height": 0.46435546875
|
| 28 |
+
},
|
| 29 |
+
"scene_id": "0224_txt_b4ff8b53cd9f",
|
| 30 |
+
"layout_path": null,
|
| 31 |
+
"image_path": "question_image_0.jpg"
|
| 32 |
+
}
|
0224_txt_b4ff8b53cd9f/tasks/002_distance_estimation/question_1.json
ADDED
|
@@ -0,0 +1,32 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"type": "distance_estimation",
|
| 3 |
+
"question": "How many meters is the plant (red point) from the image capture point? Calculate or judge based on the 3D center points of these objects. Provide only the numerical value.",
|
| 4 |
+
"answer": "1.86",
|
| 5 |
+
"camera_name": "rand_017",
|
| 6 |
+
"camera_position": [
|
| 7 |
+
-0.787163564889858,
|
| 8 |
+
-1.0942418099210358,
|
| 9 |
+
0.3217666175824112
|
| 10 |
+
],
|
| 11 |
+
"camera_look_at": [
|
| 12 |
+
1.3414488769999562,
|
| 13 |
+
2.1353548481073235,
|
| 14 |
+
-0.5547666149166706
|
| 15 |
+
],
|
| 16 |
+
"object": {
|
| 17 |
+
"label": "plant",
|
| 18 |
+
"id": "plant_0",
|
| 19 |
+
"centroid": [
|
| 20 |
+
-0.50859135389328,
|
| 21 |
+
0.7140958905220032,
|
| 22 |
+
-0.0146484375
|
| 23 |
+
],
|
| 24 |
+
"distance": 1.8603394327028715,
|
| 25 |
+
"width": 1.5822370201349258,
|
| 26 |
+
"length": 0.643310546875,
|
| 27 |
+
"height": 0.322265625
|
| 28 |
+
},
|
| 29 |
+
"scene_id": "0224_txt_b4ff8b53cd9f",
|
| 30 |
+
"layout_path": null,
|
| 31 |
+
"image_path": "question_image_1.jpg"
|
| 32 |
+
}
|
0224_txt_b4ff8b53cd9f/tasks/002_distance_estimation/question_2.json
ADDED
|
@@ -0,0 +1,32 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
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|
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|
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|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"type": "distance_estimation",
|
| 3 |
+
"question": "How far is the armchair (red point) from the camera in meters? Calculate or judge based on the 3D center points of these objects. Answer with a single number.",
|
| 4 |
+
"answer": "1.54",
|
| 5 |
+
"camera_name": "rand_020",
|
| 6 |
+
"camera_position": [
|
| 7 |
+
-0.8128856415093202,
|
| 8 |
+
-0.6779952191779635,
|
| 9 |
+
0.6364681785271182
|
| 10 |
+
],
|
| 11 |
+
"camera_look_at": [
|
| 12 |
+
-0.15325294072466833,
|
| 13 |
+
-1.4962867742324744,
|
| 14 |
+
-0.35286576539506354
|
| 15 |
+
],
|
| 16 |
+
"object": {
|
| 17 |
+
"label": "armchair",
|
| 18 |
+
"id": "armchair_0",
|
| 19 |
+
"centroid": [
|
| 20 |
+
-0.7894498705863953,
|
| 21 |
+
-1.7014870643615723,
|
| 22 |
+
-0.515380859375
|
| 23 |
+
],
|
| 24 |
+
"distance": 1.5410519130230933,
|
| 25 |
+
"width": 0.550048828125,
|
| 26 |
+
"length": 0.701416015625,
|
| 27 |
+
"height": 0.46826171875
|
| 28 |
+
},
|
| 29 |
+
"scene_id": "0224_txt_b4ff8b53cd9f",
|
| 30 |
+
"layout_path": null,
|
| 31 |
+
"image_path": "question_image_2.jpg"
|
| 32 |
+
}
|
0224_txt_b4ff8b53cd9f/tasks/002_distance_estimation/question_3.json
ADDED
|
@@ -0,0 +1,32 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"type": "distance_estimation",
|
| 3 |
+
"question": "What is the straight-line distance from the camera to the armchair (red point) in meters? Calculate or judge based on the 3D center points of these objects. Give a numerical answer.",
|
| 4 |
+
"answer": "2.44",
|
| 5 |
+
"camera_name": "rand_000",
|
| 6 |
+
"camera_position": [
|
| 7 |
+
-0.3515945530504269,
|
| 8 |
+
0.025902994052588557,
|
| 9 |
+
0.13175408278789225
|
| 10 |
+
],
|
| 11 |
+
"camera_look_at": [
|
| 12 |
+
-2.3185860682126864,
|
| 13 |
+
-1.0948900916250837,
|
| 14 |
+
-0.550119582327321
|
| 15 |
+
],
|
| 16 |
+
"object": {
|
| 17 |
+
"label": "armchair",
|
| 18 |
+
"id": "armchair_1",
|
| 19 |
+
"centroid": [
|
| 20 |
+
-2.384279727935791,
|
| 21 |
+
-1.1442111730575562,
|
| 22 |
+
-0.524472713470459
|
| 23 |
+
],
|
| 24 |
+
"distance": 2.435489641201151,
|
| 25 |
+
"width": 0.8081159591674805,
|
| 26 |
+
"length": 0.6546582579612732,
|
| 27 |
+
"height": 0.48839855194091797
|
| 28 |
+
},
|
| 29 |
+
"scene_id": "0224_txt_b4ff8b53cd9f",
|
| 30 |
+
"layout_path": null,
|
| 31 |
+
"image_path": "question_image_3.jpg"
|
| 32 |
+
}
|
0224_txt_b4ff8b53cd9f/tasks/002_distance_estimation/question_4.json
ADDED
|
@@ -0,0 +1,32 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"type": "distance_estimation",
|
| 3 |
+
"question": "What is the total distance in meters from the person who captured the image to the center of armchair (red point)? Calculate or judge based on the 3D center points of these objects. Answer using a single number and nothing else.",
|
| 4 |
+
"answer": "1.51",
|
| 5 |
+
"camera_name": "rand_039",
|
| 6 |
+
"camera_position": [
|
| 7 |
+
-0.4699158467775987,
|
| 8 |
+
-0.4590721252892668,
|
| 9 |
+
0.27358462596585187
|
| 10 |
+
],
|
| 11 |
+
"camera_look_at": [
|
| 12 |
+
-0.24741750590820621,
|
| 13 |
+
-1.4462373173528187,
|
| 14 |
+
-0.5583020689054532
|
| 15 |
+
],
|
| 16 |
+
"object": {
|
| 17 |
+
"label": "armchair",
|
| 18 |
+
"id": "armchair_0",
|
| 19 |
+
"centroid": [
|
| 20 |
+
-0.7894498705863953,
|
| 21 |
+
-1.7014870643615723,
|
| 22 |
+
-0.515380859375
|
| 23 |
+
],
|
| 24 |
+
"distance": 1.5060423002892738,
|
| 25 |
+
"width": 0.550048828125,
|
| 26 |
+
"length": 0.701416015625,
|
| 27 |
+
"height": 0.46826171875
|
| 28 |
+
},
|
| 29 |
+
"scene_id": "0224_txt_b4ff8b53cd9f",
|
| 30 |
+
"layout_path": null,
|
| 31 |
+
"image_path": "question_image_4.jpg"
|
| 32 |
+
}
|
0224_txt_b4ff8b53cd9f/tasks/002_distance_estimation/question_5.json
ADDED
|
@@ -0,0 +1,32 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"type": "distance_estimation",
|
| 3 |
+
"question": "Estimate the 3D distance in meters between the camera and the table (red point). Calculate or judge based on the 3D center points of these objects. Respond with only a number.",
|
| 4 |
+
"answer": "1.53",
|
| 5 |
+
"camera_name": "view_011",
|
| 6 |
+
"camera_position": [
|
| 7 |
+
-0.0,
|
| 8 |
+
-0.0,
|
| 9 |
+
0.0
|
| 10 |
+
],
|
| 11 |
+
"camera_look_at": [
|
| 12 |
+
-4.829628944396973,
|
| 13 |
+
-8.36516284942627,
|
| 14 |
+
-2.5881905555725098
|
| 15 |
+
],
|
| 16 |
+
"object": {
|
| 17 |
+
"label": "table",
|
| 18 |
+
"id": "table_0",
|
| 19 |
+
"centroid": [
|
| 20 |
+
-0.26236143708229065,
|
| 21 |
+
-1.3929784297943115,
|
| 22 |
+
-0.56494140625
|
| 23 |
+
],
|
| 24 |
+
"distance": 1.5259034117649248,
|
| 25 |
+
"width": 0.29248046875,
|
| 26 |
+
"length": 0.2682032585144043,
|
| 27 |
+
"height": 0.46435546875
|
| 28 |
+
},
|
| 29 |
+
"scene_id": "0224_txt_b4ff8b53cd9f",
|
| 30 |
+
"layout_path": null,
|
| 31 |
+
"image_path": "question_image_5.jpg"
|
| 32 |
+
}
|
0224_txt_b4ff8b53cd9f/tasks/002_distance_estimation/question_6.json
ADDED
|
@@ -0,0 +1,32 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"type": "distance_estimation",
|
| 3 |
+
"question": "Determine how many meters separate the camera from the center of the plant (red point). Calculate or judge based on the 3D center points of these objects. Provide a single number.",
|
| 4 |
+
"answer": "1.96",
|
| 5 |
+
"camera_name": "rand_029",
|
| 6 |
+
"camera_position": [
|
| 7 |
+
-0.6055942194712933,
|
| 8 |
+
-1.2457304333389276,
|
| 9 |
+
0.07445050456672053
|
| 10 |
+
],
|
| 11 |
+
"camera_look_at": [
|
| 12 |
+
1.3503793381592542,
|
| 13 |
+
2.175783359449024,
|
| 14 |
+
-0.5297391364099462
|
| 15 |
+
],
|
| 16 |
+
"object": {
|
| 17 |
+
"label": "plant",
|
| 18 |
+
"id": "plant_0",
|
| 19 |
+
"centroid": [
|
| 20 |
+
-0.50859135389328,
|
| 21 |
+
0.7140958905220032,
|
| 22 |
+
-0.0146484375
|
| 23 |
+
],
|
| 24 |
+
"distance": 1.9642472851212,
|
| 25 |
+
"width": 1.5822370201349258,
|
| 26 |
+
"length": 0.643310546875,
|
| 27 |
+
"height": 0.322265625
|
| 28 |
+
},
|
| 29 |
+
"scene_id": "0224_txt_b4ff8b53cd9f",
|
| 30 |
+
"layout_path": null,
|
| 31 |
+
"image_path": "question_image_6.jpg"
|
| 32 |
+
}
|
0224_txt_b4ff8b53cd9f/tasks/002_distance_estimation/question_7.json
ADDED
|
@@ -0,0 +1,32 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"type": "distance_estimation",
|
| 3 |
+
"question": "What is the straight-line distance from the camera to the armchair (red point) in meters? Calculate or judge based on the 3D center points of these objects. Give a numerical answer.",
|
| 4 |
+
"answer": "3.13",
|
| 5 |
+
"camera_name": "rand_028",
|
| 6 |
+
"camera_position": [
|
| 7 |
+
-0.010075193634679673,
|
| 8 |
+
0.7076439106586767,
|
| 9 |
+
0.3272880115695771
|
| 10 |
+
],
|
| 11 |
+
"camera_look_at": [
|
| 12 |
+
-0.7692217638710879,
|
| 13 |
+
-1.5816516437017838,
|
| 14 |
+
-0.49142924479245575
|
| 15 |
+
],
|
| 16 |
+
"object": {
|
| 17 |
+
"label": "armchair",
|
| 18 |
+
"id": "armchair_1",
|
| 19 |
+
"centroid": [
|
| 20 |
+
-2.384279727935791,
|
| 21 |
+
-1.1442111730575562,
|
| 22 |
+
-0.524472713470459
|
| 23 |
+
],
|
| 24 |
+
"distance": 3.129170937245574,
|
| 25 |
+
"width": 0.8081159591674805,
|
| 26 |
+
"length": 0.6546582579612732,
|
| 27 |
+
"height": 0.48839855194091797
|
| 28 |
+
},
|
| 29 |
+
"scene_id": "0224_txt_b4ff8b53cd9f",
|
| 30 |
+
"layout_path": null,
|
| 31 |
+
"image_path": "question_image_7.jpg"
|
| 32 |
+
}
|
0224_txt_b4ff8b53cd9f/tasks/002_distance_estimation/question_8.json
ADDED
|
@@ -0,0 +1,32 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"type": "distance_estimation",
|
| 3 |
+
"question": "Measure the distance from the camera position to the side table (red point). Calculate or judge based on the 3D center points of these objects. Answer in meters, number only.",
|
| 4 |
+
"answer": "2.59",
|
| 5 |
+
"camera_name": "view_005",
|
| 6 |
+
"camera_position": [
|
| 7 |
+
-0.0,
|
| 8 |
+
-0.0,
|
| 9 |
+
0.0
|
| 10 |
+
],
|
| 11 |
+
"camera_look_at": [
|
| 12 |
+
4.829628944396973,
|
| 13 |
+
8.36516284942627,
|
| 14 |
+
-2.5881905555725098
|
| 15 |
+
],
|
| 16 |
+
"object": {
|
| 17 |
+
"label": "side table",
|
| 18 |
+
"id": "side table_0",
|
| 19 |
+
"centroid": [
|
| 20 |
+
1.3584997653961182,
|
| 21 |
+
2.1342663764953613,
|
| 22 |
+
-0.5539111495018005
|
| 23 |
+
],
|
| 24 |
+
"distance": 2.589871066281554,
|
| 25 |
+
"width": 0.3619776964187622,
|
| 26 |
+
"length": 0.638124942779541,
|
| 27 |
+
"height": 0.4298340082168579
|
| 28 |
+
},
|
| 29 |
+
"scene_id": "0224_txt_b4ff8b53cd9f",
|
| 30 |
+
"layout_path": null,
|
| 31 |
+
"image_path": "question_image_8.jpg"
|
| 32 |
+
}
|
0224_txt_b4ff8b53cd9f/tasks/002_distance_estimation/question_9.json
ADDED
|
@@ -0,0 +1,32 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"type": "distance_estimation",
|
| 3 |
+
"question": "Estimate the 3D distance in meters between the camera and the side table (red point). Calculate or judge based on the 3D center points of these objects. Respond with only a number.",
|
| 4 |
+
"answer": "2.59",
|
| 5 |
+
"camera_name": "view_005",
|
| 6 |
+
"camera_position": [
|
| 7 |
+
-0.0,
|
| 8 |
+
-0.0,
|
| 9 |
+
0.0
|
| 10 |
+
],
|
| 11 |
+
"camera_look_at": [
|
| 12 |
+
4.829628944396973,
|
| 13 |
+
8.36516284942627,
|
| 14 |
+
-2.5881905555725098
|
| 15 |
+
],
|
| 16 |
+
"object": {
|
| 17 |
+
"label": "side table",
|
| 18 |
+
"id": "side table_0",
|
| 19 |
+
"centroid": [
|
| 20 |
+
1.3584997653961182,
|
| 21 |
+
2.1342663764953613,
|
| 22 |
+
-0.5539111495018005
|
| 23 |
+
],
|
| 24 |
+
"distance": 2.589871066281554,
|
| 25 |
+
"width": 0.3619776964187622,
|
| 26 |
+
"length": 0.638124942779541,
|
| 27 |
+
"height": 0.4298340082168579
|
| 28 |
+
},
|
| 29 |
+
"scene_id": "0224_txt_b4ff8b53cd9f",
|
| 30 |
+
"layout_path": null,
|
| 31 |
+
"image_path": "question_image_9.jpg"
|
| 32 |
+
}
|
0224_txt_b4ff8b53cd9f/tasks/003_object_distance/question_0.json
ADDED
|
@@ -0,0 +1,47 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"type": "object_distance",
|
| 3 |
+
"question": "What is the straight-line distance between table (blue point) and armchair (red point)? Calculate or judge based on the 3D center points of these objects. Give the answer in meters as one number.",
|
| 4 |
+
"answer": "0.61",
|
| 5 |
+
"camera_name": "rand_016",
|
| 6 |
+
"camera_position": [
|
| 7 |
+
-0.13458374006738516,
|
| 8 |
+
-0.42439440082636176,
|
| 9 |
+
-0.021259670710399026
|
| 10 |
+
],
|
| 11 |
+
"camera_look_at": [
|
| 12 |
+
-0.8542887611046228,
|
| 13 |
+
-1.6970867867647685,
|
| 14 |
+
-0.49737261562376317
|
| 15 |
+
],
|
| 16 |
+
"blue": {
|
| 17 |
+
"circle_color": "blue",
|
| 18 |
+
"label": "table",
|
| 19 |
+
"id": "table_0",
|
| 20 |
+
"centroid": [
|
| 21 |
+
-0.26236143708229065,
|
| 22 |
+
-1.3929784297943115,
|
| 23 |
+
-0.56494140625
|
| 24 |
+
],
|
| 25 |
+
"distance_to_camera": 1.118066183454974,
|
| 26 |
+
"width": 0.29248046875,
|
| 27 |
+
"length": 0.2682032585144043,
|
| 28 |
+
"height": 0.46435546875
|
| 29 |
+
},
|
| 30 |
+
"red": {
|
| 31 |
+
"circle_color": "red",
|
| 32 |
+
"label": "armchair",
|
| 33 |
+
"id": "armchair_0",
|
| 34 |
+
"centroid": [
|
| 35 |
+
-0.7894498705863953,
|
| 36 |
+
-1.7014870643615723,
|
| 37 |
+
-0.515380859375
|
| 38 |
+
],
|
| 39 |
+
"distance_to_camera": 1.517883746946293,
|
| 40 |
+
"width": 0.550048828125,
|
| 41 |
+
"length": 0.701416015625,
|
| 42 |
+
"height": 0.46826171875
|
| 43 |
+
},
|
| 44 |
+
"scene_id": "0224_txt_b4ff8b53cd9f",
|
| 45 |
+
"layout_path": null,
|
| 46 |
+
"image_path": "question_image_0.jpg"
|
| 47 |
+
}
|
0224_txt_b4ff8b53cd9f/tasks/003_object_distance/question_1.json
ADDED
|
@@ -0,0 +1,47 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"type": "object_distance",
|
| 3 |
+
"question": "What is the straight-line distance between armchair (blue point) and plant (red point)? Calculate or judge based on the 3D center points of these objects. Give the answer in meters as one number.",
|
| 4 |
+
"answer": "2.69",
|
| 5 |
+
"camera_name": "rand_012",
|
| 6 |
+
"camera_position": [
|
| 7 |
+
0.637170594147901,
|
| 8 |
+
1.2297795546536254,
|
| 9 |
+
0.5237826254687603
|
| 10 |
+
],
|
| 11 |
+
"camera_look_at": [
|
| 12 |
+
-0.7952803606194541,
|
| 13 |
+
-1.7444759263829015,
|
| 14 |
+
-0.49501977434211586
|
| 15 |
+
],
|
| 16 |
+
"blue": {
|
| 17 |
+
"circle_color": "blue",
|
| 18 |
+
"label": "armchair",
|
| 19 |
+
"id": "armchair_1",
|
| 20 |
+
"centroid": [
|
| 21 |
+
-2.384279727935791,
|
| 22 |
+
-1.1442111730575562,
|
| 23 |
+
-0.524472713470459
|
| 24 |
+
],
|
| 25 |
+
"distance_to_camera": 3.9829427914160265,
|
| 26 |
+
"width": 0.8081159591674805,
|
| 27 |
+
"length": 0.6546582579612732,
|
| 28 |
+
"height": 0.48839855194091797
|
| 29 |
+
},
|
| 30 |
+
"red": {
|
| 31 |
+
"circle_color": "red",
|
| 32 |
+
"label": "plant",
|
| 33 |
+
"id": "plant_0",
|
| 34 |
+
"centroid": [
|
| 35 |
+
-0.50859135389328,
|
| 36 |
+
0.7140958905220032,
|
| 37 |
+
-0.0146484375
|
| 38 |
+
],
|
| 39 |
+
"distance_to_camera": 1.366970406629568,
|
| 40 |
+
"width": 1.5822370201349258,
|
| 41 |
+
"length": 0.643310546875,
|
| 42 |
+
"height": 0.322265625
|
| 43 |
+
},
|
| 44 |
+
"scene_id": "0224_txt_b4ff8b53cd9f",
|
| 45 |
+
"layout_path": null,
|
| 46 |
+
"image_path": "question_image_1.jpg"
|
| 47 |
+
}
|
0224_txt_b4ff8b53cd9f/tasks/003_object_distance/question_2.json
ADDED
|
@@ -0,0 +1,47 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"type": "object_distance",
|
| 3 |
+
"question": "How far apart are plant (blue point) and armchair (red point) in meters? Calculate or judge based on the 3D center points of these objects. Answer with a single number.",
|
| 4 |
+
"answer": "2.69",
|
| 5 |
+
"camera_name": "rand_012",
|
| 6 |
+
"camera_position": [
|
| 7 |
+
0.637170594147901,
|
| 8 |
+
1.2297795546536254,
|
| 9 |
+
0.5237826254687603
|
| 10 |
+
],
|
| 11 |
+
"camera_look_at": [
|
| 12 |
+
-0.7952803606194541,
|
| 13 |
+
-1.7444759263829015,
|
| 14 |
+
-0.49501977434211586
|
| 15 |
+
],
|
| 16 |
+
"blue": {
|
| 17 |
+
"circle_color": "blue",
|
| 18 |
+
"label": "plant",
|
| 19 |
+
"id": "plant_0",
|
| 20 |
+
"centroid": [
|
| 21 |
+
-0.50859135389328,
|
| 22 |
+
0.7140958905220032,
|
| 23 |
+
-0.0146484375
|
| 24 |
+
],
|
| 25 |
+
"distance_to_camera": 1.366970406629568,
|
| 26 |
+
"width": 1.5822370201349258,
|
| 27 |
+
"length": 0.643310546875,
|
| 28 |
+
"height": 0.322265625
|
| 29 |
+
},
|
| 30 |
+
"red": {
|
| 31 |
+
"circle_color": "red",
|
| 32 |
+
"label": "armchair",
|
| 33 |
+
"id": "armchair_1",
|
| 34 |
+
"centroid": [
|
| 35 |
+
-2.384279727935791,
|
| 36 |
+
-1.1442111730575562,
|
| 37 |
+
-0.524472713470459
|
| 38 |
+
],
|
| 39 |
+
"distance_to_camera": 3.9829427914160265,
|
| 40 |
+
"width": 0.8081159591674805,
|
| 41 |
+
"length": 0.6546582579612732,
|
| 42 |
+
"height": 0.48839855194091797
|
| 43 |
+
},
|
| 44 |
+
"scene_id": "0224_txt_b4ff8b53cd9f",
|
| 45 |
+
"layout_path": null,
|
| 46 |
+
"image_path": "question_image_2.jpg"
|
| 47 |
+
}
|
0224_txt_b4ff8b53cd9f/tasks/005_camera_object_position/question_0.json
ADDED
|
@@ -0,0 +1,39 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"type": "camera_object_position",
|
| 3 |
+
"question": "In which region of the observer's field of view does table (bbox) appear? Calculate or judge based on the 3D center points of these objects. Choose from the options.",
|
| 4 |
+
"choices": [
|
| 5 |
+
"A. , , front",
|
| 6 |
+
"B. right, , ",
|
| 7 |
+
"C. left, below, front",
|
| 8 |
+
"D. , , behind"
|
| 9 |
+
],
|
| 10 |
+
"answer": "C",
|
| 11 |
+
"camera_name": "rand_062",
|
| 12 |
+
"camera_position": [
|
| 13 |
+
0.3584645533043048,
|
| 14 |
+
1.0553436254450452,
|
| 15 |
+
0.673315117092675
|
| 16 |
+
],
|
| 17 |
+
"camera_look_at": [
|
| 18 |
+
-2.463384070488849,
|
| 19 |
+
-1.1501314791714599,
|
| 20 |
+
-0.3320714702054621
|
| 21 |
+
],
|
| 22 |
+
"object": {
|
| 23 |
+
"label": "table",
|
| 24 |
+
"id": "table_0",
|
| 25 |
+
"centroid": [
|
| 26 |
+
-0.26236143708229065,
|
| 27 |
+
-1.3929784297943115,
|
| 28 |
+
-0.56494140625
|
| 29 |
+
],
|
| 30 |
+
"image_u": 0.106,
|
| 31 |
+
"image_v": 0.796,
|
| 32 |
+
"width": 0.29248046875,
|
| 33 |
+
"length": 0.2682032585144043,
|
| 34 |
+
"height": 0.46435546875
|
| 35 |
+
},
|
| 36 |
+
"scene_id": "0224_txt_b4ff8b53cd9f",
|
| 37 |
+
"layout_path": null,
|
| 38 |
+
"image_path": "question_image_0.jpg"
|
| 39 |
+
}
|
0224_txt_b4ff8b53cd9f/tasks/005_camera_object_position/question_1.json
ADDED
|
@@ -0,0 +1,39 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"type": "camera_object_position",
|
| 3 |
+
"question": "Where is armchair (bbox) located relative to the camera's center of view? Calculate or judge based on the 3D center points of these objects. Choose the correct answer.",
|
| 4 |
+
"choices": [
|
| 5 |
+
"A. left, below, front",
|
| 6 |
+
"B. right, below, front",
|
| 7 |
+
"C. right, above, front",
|
| 8 |
+
"D. left, below, behind"
|
| 9 |
+
],
|
| 10 |
+
"answer": "A",
|
| 11 |
+
"camera_name": "rand_054",
|
| 12 |
+
"camera_position": [
|
| 13 |
+
-0.0029988916379874997,
|
| 14 |
+
0.11686643798296881,
|
| 15 |
+
0.3579770803885669
|
| 16 |
+
],
|
| 17 |
+
"camera_look_at": [
|
| 18 |
+
-2.365297799484056,
|
| 19 |
+
-1.1220091219379944,
|
| 20 |
+
-0.5221508900415355
|
| 21 |
+
],
|
| 22 |
+
"object": {
|
| 23 |
+
"label": "armchair",
|
| 24 |
+
"id": "armchair_0",
|
| 25 |
+
"centroid": [
|
| 26 |
+
-0.7894498705863953,
|
| 27 |
+
-1.7014870643615723,
|
| 28 |
+
-0.515380859375
|
| 29 |
+
],
|
| 30 |
+
"image_u": 0.088,
|
| 31 |
+
"image_v": 0.704,
|
| 32 |
+
"width": 0.550048828125,
|
| 33 |
+
"length": 0.701416015625,
|
| 34 |
+
"height": 0.46826171875
|
| 35 |
+
},
|
| 36 |
+
"scene_id": "0224_txt_b4ff8b53cd9f",
|
| 37 |
+
"layout_path": null,
|
| 38 |
+
"image_path": "question_image_1.jpg"
|
| 39 |
+
}
|
0224_txt_b4ff8b53cd9f/tasks/005_camera_object_position/question_2.json
ADDED
|
@@ -0,0 +1,39 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"type": "camera_object_position",
|
| 3 |
+
"question": "Determine where table (bbox) is situated with respect to the camera's line of sight. Calculate or judge based on the 3D center points of these objects. Choose the correct response.",
|
| 4 |
+
"choices": [
|
| 5 |
+
"A. , , behind",
|
| 6 |
+
"B. , above, behind",
|
| 7 |
+
"C. , , ",
|
| 8 |
+
"D. right, below, front"
|
| 9 |
+
],
|
| 10 |
+
"answer": "D",
|
| 11 |
+
"camera_name": "view_001",
|
| 12 |
+
"camera_position": [
|
| 13 |
+
-0.0,
|
| 14 |
+
-0.0,
|
| 15 |
+
0.0
|
| 16 |
+
],
|
| 17 |
+
"camera_look_at": [
|
| 18 |
+
4.829628944396973,
|
| 19 |
+
-8.36516284942627,
|
| 20 |
+
-2.5881905555725098
|
| 21 |
+
],
|
| 22 |
+
"object": {
|
| 23 |
+
"label": "table",
|
| 24 |
+
"id": "table_0",
|
| 25 |
+
"centroid": [
|
| 26 |
+
-0.26236143708229065,
|
| 27 |
+
-1.3929784297943115,
|
| 28 |
+
-0.56494140625
|
| 29 |
+
],
|
| 30 |
+
"image_u": 0.948,
|
| 31 |
+
"image_v": 0.731,
|
| 32 |
+
"width": 0.29248046875,
|
| 33 |
+
"length": 0.2682032585144043,
|
| 34 |
+
"height": 0.46435546875
|
| 35 |
+
},
|
| 36 |
+
"scene_id": "0224_txt_b4ff8b53cd9f",
|
| 37 |
+
"layout_path": null,
|
| 38 |
+
"image_path": "question_image_2.jpg"
|
| 39 |
+
}
|
0224_txt_b4ff8b53cd9f/tasks/005_camera_object_position/question_3.json
ADDED
|
@@ -0,0 +1,39 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"type": "camera_object_position",
|
| 3 |
+
"question": "From the observer's perspective, in which part of the view is armchair (bbox) positioned? Calculate or judge based on the 3D center points of these objects. Pick the right option.",
|
| 4 |
+
"choices": [
|
| 5 |
+
"A. left, below, front",
|
| 6 |
+
"B. , , front",
|
| 7 |
+
"C. , above, front",
|
| 8 |
+
"D. left, , front"
|
| 9 |
+
],
|
| 10 |
+
"answer": "A",
|
| 11 |
+
"camera_name": "rand_011",
|
| 12 |
+
"camera_position": [
|
| 13 |
+
0.21618858518539094,
|
| 14 |
+
0.7813858133728087,
|
| 15 |
+
0.7397297036156243
|
| 16 |
+
],
|
| 17 |
+
"camera_look_at": [
|
| 18 |
+
-2.36960632206276,
|
| 19 |
+
-1.1807681684408249,
|
| 20 |
+
-0.2580443867849709
|
| 21 |
+
],
|
| 22 |
+
"object": {
|
| 23 |
+
"label": "armchair",
|
| 24 |
+
"id": "armchair_0",
|
| 25 |
+
"centroid": [
|
| 26 |
+
-0.7894498705863953,
|
| 27 |
+
-1.7014870643615723,
|
| 28 |
+
-0.515380859375
|
| 29 |
+
],
|
| 30 |
+
"image_u": 0.193,
|
| 31 |
+
"image_v": 0.708,
|
| 32 |
+
"width": 0.550048828125,
|
| 33 |
+
"length": 0.701416015625,
|
| 34 |
+
"height": 0.46826171875
|
| 35 |
+
},
|
| 36 |
+
"scene_id": "0224_txt_b4ff8b53cd9f",
|
| 37 |
+
"layout_path": null,
|
| 38 |
+
"image_path": "question_image_3.jpg"
|
| 39 |
+
}
|
0224_txt_b4ff8b53cd9f/tasks/005_camera_object_position/question_4.json
ADDED
|
@@ -0,0 +1,39 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"type": "camera_object_position",
|
| 3 |
+
"question": "Considering the observer's view, describe the location of plant (bbox). Calculate or judge based on the 3D center points of these objects. Choose the right answer.",
|
| 4 |
+
"choices": [
|
| 5 |
+
"A. right, below, front",
|
| 6 |
+
"B. left, , ",
|
| 7 |
+
"C. left, , front",
|
| 8 |
+
"D. left, above, front"
|
| 9 |
+
],
|
| 10 |
+
"answer": "C",
|
| 11 |
+
"camera_name": "rand_055",
|
| 12 |
+
"camera_position": [
|
| 13 |
+
-1.1235689548770253,
|
| 14 |
+
-0.32347628039785653,
|
| 15 |
+
-0.08620534968668025
|
| 16 |
+
],
|
| 17 |
+
"camera_look_at": [
|
| 18 |
+
1.363762684452562,
|
| 19 |
+
2.137190885751153,
|
| 20 |
+
-0.5258980015541458
|
| 21 |
+
],
|
| 22 |
+
"object": {
|
| 23 |
+
"label": "plant",
|
| 24 |
+
"id": "plant_0",
|
| 25 |
+
"centroid": [
|
| 26 |
+
-0.50859135389328,
|
| 27 |
+
0.7140958905220032,
|
| 28 |
+
-0.0146484375
|
| 29 |
+
],
|
| 30 |
+
"image_u": 0.347,
|
| 31 |
+
"image_v": 0.307,
|
| 32 |
+
"width": 1.5822370201349258,
|
| 33 |
+
"length": 0.643310546875,
|
| 34 |
+
"height": 0.322265625
|
| 35 |
+
},
|
| 36 |
+
"scene_id": "0224_txt_b4ff8b53cd9f",
|
| 37 |
+
"layout_path": null,
|
| 38 |
+
"image_path": "question_image_4.jpg"
|
| 39 |
+
}
|
0224_txt_b4ff8b53cd9f/tasks/005_camera_object_position/question_5.json
ADDED
|
@@ -0,0 +1,39 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"type": "camera_object_position",
|
| 3 |
+
"question": "In which region of the observer's field of view does plant (bbox) appear? Calculate or judge based on the 3D center points of these objects. Choose from the options.",
|
| 4 |
+
"choices": [
|
| 5 |
+
"A. right, , ",
|
| 6 |
+
"B. right, below, front",
|
| 7 |
+
"C. , below, behind",
|
| 8 |
+
"D. left, , front"
|
| 9 |
+
],
|
| 10 |
+
"answer": "D",
|
| 11 |
+
"camera_name": "rand_055",
|
| 12 |
+
"camera_position": [
|
| 13 |
+
-1.1235689548770253,
|
| 14 |
+
-0.32347628039785653,
|
| 15 |
+
-0.08620534968668025
|
| 16 |
+
],
|
| 17 |
+
"camera_look_at": [
|
| 18 |
+
1.363762684452562,
|
| 19 |
+
2.137190885751153,
|
| 20 |
+
-0.5258980015541458
|
| 21 |
+
],
|
| 22 |
+
"object": {
|
| 23 |
+
"label": "plant",
|
| 24 |
+
"id": "plant_0",
|
| 25 |
+
"centroid": [
|
| 26 |
+
-0.50859135389328,
|
| 27 |
+
0.7140958905220032,
|
| 28 |
+
-0.0146484375
|
| 29 |
+
],
|
| 30 |
+
"image_u": 0.347,
|
| 31 |
+
"image_v": 0.307,
|
| 32 |
+
"width": 1.5822370201349258,
|
| 33 |
+
"length": 0.643310546875,
|
| 34 |
+
"height": 0.322265625
|
| 35 |
+
},
|
| 36 |
+
"scene_id": "0224_txt_b4ff8b53cd9f",
|
| 37 |
+
"layout_path": null,
|
| 38 |
+
"image_path": "question_image_5.jpg"
|
| 39 |
+
}
|
0224_txt_b4ff8b53cd9f/tasks/006_depth_ordering/question_0.json
ADDED
|
@@ -0,0 +1,72 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"type": "depth_ordering",
|
| 3 |
+
"question": "List the three marked objects in order of increasing distance from the viewpoint: blue, red, green.",
|
| 4 |
+
"choices": [
|
| 5 |
+
"A. blue, green, red",
|
| 6 |
+
"B. green, red, blue",
|
| 7 |
+
"C. red, green, blue",
|
| 8 |
+
"D. red, blue, green"
|
| 9 |
+
],
|
| 10 |
+
"answer": "B",
|
| 11 |
+
"camera_name": "rand_037",
|
| 12 |
+
"camera_position": [
|
| 13 |
+
0.022040612929589476,
|
| 14 |
+
-0.06301322079806759,
|
| 15 |
+
0.5013799759155759
|
| 16 |
+
],
|
| 17 |
+
"camera_look_at": [
|
| 18 |
+
-0.8286606699884544,
|
| 19 |
+
-1.6618400253640806,
|
| 20 |
+
-0.5117381518115174
|
| 21 |
+
],
|
| 22 |
+
"objects": [
|
| 23 |
+
{
|
| 24 |
+
"circle_color": "blue",
|
| 25 |
+
"label": "armchair",
|
| 26 |
+
"id": "armchair_1",
|
| 27 |
+
"centroid": [
|
| 28 |
+
-2.384279727935791,
|
| 29 |
+
-1.1442111730575562,
|
| 30 |
+
-0.524472713470459
|
| 31 |
+
],
|
| 32 |
+
"distance_to_camera": 2.830501781513863,
|
| 33 |
+
"width": 0.8081159591674805,
|
| 34 |
+
"length": 0.6546582579612732,
|
| 35 |
+
"height": 0.48839855194091797,
|
| 36 |
+
"depth": 2.32
|
| 37 |
+
},
|
| 38 |
+
{
|
| 39 |
+
"circle_color": "red",
|
| 40 |
+
"label": "armchair",
|
| 41 |
+
"id": "armchair_0",
|
| 42 |
+
"centroid": [
|
| 43 |
+
-0.7894498705863953,
|
| 44 |
+
-1.7014870643615723,
|
| 45 |
+
-0.515380859375
|
| 46 |
+
],
|
| 47 |
+
"distance_to_camera": 2.0921080127611864,
|
| 48 |
+
"width": 0.550048828125,
|
| 49 |
+
"length": 0.701416015625,
|
| 50 |
+
"height": 0.46826171875,
|
| 51 |
+
"depth": 2.09
|
| 52 |
+
},
|
| 53 |
+
{
|
| 54 |
+
"circle_color": "green",
|
| 55 |
+
"label": "table",
|
| 56 |
+
"id": "table_0",
|
| 57 |
+
"centroid": [
|
| 58 |
+
-0.26236143708229065,
|
| 59 |
+
-1.3929784297943115,
|
| 60 |
+
-0.56494140625
|
| 61 |
+
],
|
| 62 |
+
"distance_to_camera": 1.7282167900049135,
|
| 63 |
+
"width": 0.29248046875,
|
| 64 |
+
"length": 0.2682032585144043,
|
| 65 |
+
"height": 0.46435546875,
|
| 66 |
+
"depth": 1.66
|
| 67 |
+
}
|
| 68 |
+
],
|
| 69 |
+
"scene_id": "0224_txt_b4ff8b53cd9f",
|
| 70 |
+
"layout_path": null,
|
| 71 |
+
"image_path": "question_image_0.jpg"
|
| 72 |
+
}
|
0224_txt_b4ff8b53cd9f/tasks/006_depth_ordering/question_1.json
ADDED
|
@@ -0,0 +1,72 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"type": "depth_ordering",
|
| 3 |
+
"question": "Sequence the three colored points (blue, red, green) by their depth, starting with the closest.",
|
| 4 |
+
"choices": [
|
| 5 |
+
"A. red, blue, green",
|
| 6 |
+
"B. blue, green, red",
|
| 7 |
+
"C. green, blue, red",
|
| 8 |
+
"D. red, green, blue"
|
| 9 |
+
],
|
| 10 |
+
"answer": "B",
|
| 11 |
+
"camera_name": "rand_062",
|
| 12 |
+
"camera_position": [
|
| 13 |
+
0.3584645533043048,
|
| 14 |
+
1.0553436254450452,
|
| 15 |
+
0.673315117092675
|
| 16 |
+
],
|
| 17 |
+
"camera_look_at": [
|
| 18 |
+
-2.463384070488849,
|
| 19 |
+
-1.1501314791714599,
|
| 20 |
+
-0.3320714702054621
|
| 21 |
+
],
|
| 22 |
+
"objects": [
|
| 23 |
+
{
|
| 24 |
+
"circle_color": "blue",
|
| 25 |
+
"label": "plant",
|
| 26 |
+
"id": "plant_0",
|
| 27 |
+
"centroid": [
|
| 28 |
+
-0.50859135389328,
|
| 29 |
+
0.7140958905220032,
|
| 30 |
+
-0.0146484375
|
| 31 |
+
],
|
| 32 |
+
"distance_to_camera": 1.1582442813345215,
|
| 33 |
+
"width": 1.5822370201349258,
|
| 34 |
+
"length": 0.643310546875,
|
| 35 |
+
"height": 0.322265625,
|
| 36 |
+
"depth": 1.05
|
| 37 |
+
},
|
| 38 |
+
{
|
| 39 |
+
"circle_color": "red",
|
| 40 |
+
"label": "armchair",
|
| 41 |
+
"id": "armchair_0",
|
| 42 |
+
"centroid": [
|
| 43 |
+
-0.7894498705863953,
|
| 44 |
+
-1.7014870643615723,
|
| 45 |
+
-0.515380859375
|
| 46 |
+
],
|
| 47 |
+
"distance_to_camera": 3.2141594704224596,
|
| 48 |
+
"width": 0.550048828125,
|
| 49 |
+
"length": 0.701416015625,
|
| 50 |
+
"height": 0.46826171875,
|
| 51 |
+
"depth": 2.83
|
| 52 |
+
},
|
| 53 |
+
{
|
| 54 |
+
"circle_color": "green",
|
| 55 |
+
"label": "table",
|
| 56 |
+
"id": "table_0",
|
| 57 |
+
"centroid": [
|
| 58 |
+
-0.26236143708229065,
|
| 59 |
+
-1.3929784297943115,
|
| 60 |
+
-0.56494140625
|
| 61 |
+
],
|
| 62 |
+
"distance_to_camera": 2.8130028464457077,
|
| 63 |
+
"width": 0.29248046875,
|
| 64 |
+
"length": 0.2682032585144043,
|
| 65 |
+
"height": 0.46435546875,
|
| 66 |
+
"depth": 2.26
|
| 67 |
+
}
|
| 68 |
+
],
|
| 69 |
+
"scene_id": "0224_txt_b4ff8b53cd9f",
|
| 70 |
+
"layout_path": null,
|
| 71 |
+
"image_path": "question_image_1.jpg"
|
| 72 |
+
}
|
0224_txt_b4ff8b53cd9f/tasks/006_depth_ordering/question_10.json
ADDED
|
@@ -0,0 +1,72 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"type": "depth_ordering",
|
| 3 |
+
"question": "Rank the following objects by their distance from the camera, closest first: blue point, red point, green point.",
|
| 4 |
+
"choices": [
|
| 5 |
+
"A. blue, red, green",
|
| 6 |
+
"B. blue, green, red",
|
| 7 |
+
"C. red, blue, green",
|
| 8 |
+
"D. green, blue, red"
|
| 9 |
+
],
|
| 10 |
+
"answer": "C",
|
| 11 |
+
"camera_name": "rand_011",
|
| 12 |
+
"camera_position": [
|
| 13 |
+
0.21618858518539094,
|
| 14 |
+
0.7813858133728087,
|
| 15 |
+
0.7397297036156243
|
| 16 |
+
],
|
| 17 |
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"camera_look_at": [
|
| 18 |
+
-2.36960632206276,
|
| 19 |
+
-1.1807681684408249,
|
| 20 |
+
-0.2580443867849709
|
| 21 |
+
],
|
| 22 |
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"objects": [
|
| 23 |
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{
|
| 24 |
+
"circle_color": "blue",
|
| 25 |
+
"label": "armchair",
|
| 26 |
+
"id": "armchair_0",
|
| 27 |
+
"centroid": [
|
| 28 |
+
-0.7894498705863953,
|
| 29 |
+
-1.7014870643615723,
|
| 30 |
+
-0.515380859375
|
| 31 |
+
],
|
| 32 |
+
"distance_to_camera": 2.958254376494136,
|
| 33 |
+
"width": 0.550048828125,
|
| 34 |
+
"length": 0.701416015625,
|
| 35 |
+
"height": 0.46826171875,
|
| 36 |
+
"depth": 2.57
|
| 37 |
+
},
|
| 38 |
+
{
|
| 39 |
+
"circle_color": "red",
|
| 40 |
+
"label": "table",
|
| 41 |
+
"id": "table_0",
|
| 42 |
+
"centroid": [
|
| 43 |
+
-0.26236143708229065,
|
| 44 |
+
-1.3929784297943115,
|
| 45 |
+
-0.56494140625
|
| 46 |
+
],
|
| 47 |
+
"distance_to_camera": 2.580510935976463,
|
| 48 |
+
"width": 0.29248046875,
|
| 49 |
+
"length": 0.2682032585144043,
|
| 50 |
+
"height": 0.46435546875,
|
| 51 |
+
"depth": 2.0
|
| 52 |
+
},
|
| 53 |
+
{
|
| 54 |
+
"circle_color": "green",
|
| 55 |
+
"label": "armchair",
|
| 56 |
+
"id": "armchair_1",
|
| 57 |
+
"centroid": [
|
| 58 |
+
-2.384279727935791,
|
| 59 |
+
-1.1442111730575562,
|
| 60 |
+
-0.524472713470459
|
| 61 |
+
],
|
| 62 |
+
"distance_to_camera": 3.4739843052413644,
|
| 63 |
+
"width": 0.8081159591674805,
|
| 64 |
+
"length": 0.6546582579612732,
|
| 65 |
+
"height": 0.48839855194091797,
|
| 66 |
+
"depth": 3.46
|
| 67 |
+
}
|
| 68 |
+
],
|
| 69 |
+
"scene_id": "0224_txt_b4ff8b53cd9f",
|
| 70 |
+
"layout_path": null,
|
| 71 |
+
"image_path": "question_image_10.jpg"
|
| 72 |
+
}
|
0224_txt_b4ff8b53cd9f/tasks/006_depth_ordering/question_11.json
ADDED
|
@@ -0,0 +1,72 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
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|
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|
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|
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|
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|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"type": "depth_ordering",
|
| 3 |
+
"question": "Sort the marked objects from closest to most distant: blue point, red point, green point.",
|
| 4 |
+
"choices": [
|
| 5 |
+
"A. blue, red, green",
|
| 6 |
+
"B. red, blue, green",
|
| 7 |
+
"C. blue, green, red",
|
| 8 |
+
"D. green, red, blue"
|
| 9 |
+
],
|
| 10 |
+
"answer": "C",
|
| 11 |
+
"camera_name": "rand_011",
|
| 12 |
+
"camera_position": [
|
| 13 |
+
0.21618858518539094,
|
| 14 |
+
0.7813858133728087,
|
| 15 |
+
0.7397297036156243
|
| 16 |
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],
|
| 17 |
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"camera_look_at": [
|
| 18 |
+
-2.36960632206276,
|
| 19 |
+
-1.1807681684408249,
|
| 20 |
+
-0.2580443867849709
|
| 21 |
+
],
|
| 22 |
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"objects": [
|
| 23 |
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{
|
| 24 |
+
"circle_color": "blue",
|
| 25 |
+
"label": "table",
|
| 26 |
+
"id": "table_0",
|
| 27 |
+
"centroid": [
|
| 28 |
+
-0.26236143708229065,
|
| 29 |
+
-1.3929784297943115,
|
| 30 |
+
-0.56494140625
|
| 31 |
+
],
|
| 32 |
+
"distance_to_camera": 2.580510935976463,
|
| 33 |
+
"width": 0.29248046875,
|
| 34 |
+
"length": 0.2682032585144043,
|
| 35 |
+
"height": 0.46435546875,
|
| 36 |
+
"depth": 2.0
|
| 37 |
+
},
|
| 38 |
+
{
|
| 39 |
+
"circle_color": "red",
|
| 40 |
+
"label": "armchair",
|
| 41 |
+
"id": "armchair_1",
|
| 42 |
+
"centroid": [
|
| 43 |
+
-2.384279727935791,
|
| 44 |
+
-1.1442111730575562,
|
| 45 |
+
-0.524472713470459
|
| 46 |
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],
|
| 47 |
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"distance_to_camera": 3.4739843052413644,
|
| 48 |
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"width": 0.8081159591674805,
|
| 49 |
+
"length": 0.6546582579612732,
|
| 50 |
+
"height": 0.48839855194091797,
|
| 51 |
+
"depth": 3.46
|
| 52 |
+
},
|
| 53 |
+
{
|
| 54 |
+
"circle_color": "green",
|
| 55 |
+
"label": "armchair",
|
| 56 |
+
"id": "armchair_0",
|
| 57 |
+
"centroid": [
|
| 58 |
+
-0.7894498705863953,
|
| 59 |
+
-1.7014870643615723,
|
| 60 |
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-0.515380859375
|
| 61 |
+
],
|
| 62 |
+
"distance_to_camera": 2.958254376494136,
|
| 63 |
+
"width": 0.550048828125,
|
| 64 |
+
"length": 0.701416015625,
|
| 65 |
+
"height": 0.46826171875,
|
| 66 |
+
"depth": 2.57
|
| 67 |
+
}
|
| 68 |
+
],
|
| 69 |
+
"scene_id": "0224_txt_b4ff8b53cd9f",
|
| 70 |
+
"layout_path": null,
|
| 71 |
+
"image_path": "question_image_11.jpg"
|
| 72 |
+
}
|
0224_txt_b4ff8b53cd9f/tasks/006_depth_ordering/question_12.json
ADDED
|
@@ -0,0 +1,72 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"type": "depth_ordering",
|
| 3 |
+
"question": "Which ordering correctly places blue point, red point, and green point from nearest to farthest?",
|
| 4 |
+
"choices": [
|
| 5 |
+
"A. green, blue, red",
|
| 6 |
+
"B. blue, red, green",
|
| 7 |
+
"C. green, red, blue",
|
| 8 |
+
"D. blue, green, red"
|
| 9 |
+
],
|
| 10 |
+
"answer": "C",
|
| 11 |
+
"camera_name": "rand_036",
|
| 12 |
+
"camera_position": [
|
| 13 |
+
0.5594686369406529,
|
| 14 |
+
1.0541152662490316,
|
| 15 |
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0.1580253250187763
|
| 16 |
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],
|
| 17 |
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"camera_look_at": [
|
| 18 |
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|
| 19 |
+
-1.0846428000622534,
|
| 20 |
+
-0.5510165257543731
|
| 21 |
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],
|
| 22 |
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"objects": [
|
| 23 |
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{
|
| 24 |
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"circle_color": "blue",
|
| 25 |
+
"label": "armchair",
|
| 26 |
+
"id": "armchair_0",
|
| 27 |
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"centroid": [
|
| 28 |
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|
| 29 |
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-1.7014870643615723,
|
| 30 |
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-0.515380859375
|
| 31 |
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],
|
| 32 |
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"distance_to_camera": 3.141082812279131,
|
| 33 |
+
"width": 0.550048828125,
|
| 34 |
+
"length": 0.701416015625,
|
| 35 |
+
"height": 0.46826171875,
|
| 36 |
+
"depth": 2.8
|
| 37 |
+
},
|
| 38 |
+
{
|
| 39 |
+
"circle_color": "red",
|
| 40 |
+
"label": "table",
|
| 41 |
+
"id": "table_0",
|
| 42 |
+
"centroid": [
|
| 43 |
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|
| 44 |
+
-1.3929784297943115,
|
| 45 |
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-0.56494140625
|
| 46 |
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],
|
| 47 |
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"distance_to_camera": 2.6807374213647046,
|
| 48 |
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"width": 0.29248046875,
|
| 49 |
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"length": 0.2682032585144043,
|
| 50 |
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"height": 0.46435546875,
|
| 51 |
+
"depth": 2.21
|
| 52 |
+
},
|
| 53 |
+
{
|
| 54 |
+
"circle_color": "green",
|
| 55 |
+
"label": "plant",
|
| 56 |
+
"id": "plant_0",
|
| 57 |
+
"centroid": [
|
| 58 |
+
-0.50859135389328,
|
| 59 |
+
0.7140958905220032,
|
| 60 |
+
-0.0146484375
|
| 61 |
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],
|
| 62 |
+
"distance_to_camera": 1.1340994436787146,
|
| 63 |
+
"width": 1.5822370201349258,
|
| 64 |
+
"length": 0.643310546875,
|
| 65 |
+
"height": 0.322265625,
|
| 66 |
+
"depth": 1.08
|
| 67 |
+
}
|
| 68 |
+
],
|
| 69 |
+
"scene_id": "0224_txt_b4ff8b53cd9f",
|
| 70 |
+
"layout_path": null,
|
| 71 |
+
"image_path": "question_image_12.jpg"
|
| 72 |
+
}
|
0224_txt_b4ff8b53cd9f/tasks/006_depth_ordering/question_13.json
ADDED
|
@@ -0,0 +1,72 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"type": "depth_ordering",
|
| 3 |
+
"question": "Sort the marked objects from closest to most distant: blue point, red point, green point.",
|
| 4 |
+
"choices": [
|
| 5 |
+
"A. red, blue, green",
|
| 6 |
+
"B. red, green, blue",
|
| 7 |
+
"C. green, red, blue",
|
| 8 |
+
"D. green, blue, red"
|
| 9 |
+
],
|
| 10 |
+
"answer": "D",
|
| 11 |
+
"camera_name": "rand_036",
|
| 12 |
+
"camera_position": [
|
| 13 |
+
0.5594686369406529,
|
| 14 |
+
1.0541152662490316,
|
| 15 |
+
0.1580253250187763
|
| 16 |
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],
|
| 17 |
+
"camera_look_at": [
|
| 18 |
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|
| 19 |
+
-1.0846428000622534,
|
| 20 |
+
-0.5510165257543731
|
| 21 |
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],
|
| 22 |
+
"objects": [
|
| 23 |
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{
|
| 24 |
+
"circle_color": "blue",
|
| 25 |
+
"label": "table",
|
| 26 |
+
"id": "table_0",
|
| 27 |
+
"centroid": [
|
| 28 |
+
-0.26236143708229065,
|
| 29 |
+
-1.3929784297943115,
|
| 30 |
+
-0.56494140625
|
| 31 |
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|
| 32 |
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|
| 33 |
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|
| 34 |
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|
| 35 |
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"height": 0.46435546875,
|
| 36 |
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"depth": 2.21
|
| 37 |
+
},
|
| 38 |
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{
|
| 39 |
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"circle_color": "red",
|
| 40 |
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"label": "armchair",
|
| 41 |
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"id": "armchair_0",
|
| 42 |
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"centroid": [
|
| 43 |
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|
| 44 |
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| 45 |
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| 46 |
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| 47 |
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| 48 |
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| 49 |
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| 50 |
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"height": 0.46826171875,
|
| 51 |
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"depth": 2.8
|
| 52 |
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},
|
| 53 |
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{
|
| 54 |
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"circle_color": "green",
|
| 55 |
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"label": "plant",
|
| 56 |
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"id": "plant_0",
|
| 57 |
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|
| 58 |
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| 59 |
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| 60 |
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| 61 |
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| 62 |
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|
| 63 |
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| 64 |
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| 65 |
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"height": 0.322265625,
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| 66 |
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"depth": 1.08
|
| 67 |
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}
|
| 68 |
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],
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| 69 |
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"scene_id": "0224_txt_b4ff8b53cd9f",
|
| 70 |
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"layout_path": null,
|
| 71 |
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"image_path": "question_image_13.jpg"
|
| 72 |
+
}
|
0224_txt_b4ff8b53cd9f/tasks/006_depth_ordering/question_14.json
ADDED
|
@@ -0,0 +1,72 @@
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|
|
| 1 |
+
{
|
| 2 |
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"type": "depth_ordering",
|
| 3 |
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"question": "Arrange blue point, red point, and green point in order from nearest to farthest from the camera.",
|
| 4 |
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"choices": [
|
| 5 |
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"A. green, red, blue",
|
| 6 |
+
"B. red, blue, green",
|
| 7 |
+
"C. blue, green, red",
|
| 8 |
+
"D. red, green, blue"
|
| 9 |
+
],
|
| 10 |
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"answer": "B",
|
| 11 |
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"camera_name": "rand_036",
|
| 12 |
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"camera_position": [
|
| 13 |
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|
| 14 |
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| 15 |
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| 16 |
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|
| 17 |
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|
| 18 |
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|
| 19 |
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|
| 20 |
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|
| 21 |
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| 22 |
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"objects": [
|
| 23 |
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{
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| 24 |
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"circle_color": "blue",
|
| 25 |
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"label": "table",
|
| 26 |
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"id": "table_0",
|
| 27 |
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|
| 28 |
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| 29 |
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| 30 |
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| 31 |
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|
| 33 |
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|
| 34 |
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"length": 0.2682032585144043,
|
| 35 |
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"height": 0.46435546875,
|
| 36 |
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"depth": 2.21
|
| 37 |
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},
|
| 38 |
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{
|
| 39 |
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"circle_color": "red",
|
| 40 |
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"label": "plant",
|
| 41 |
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"id": "plant_0",
|
| 42 |
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| 43 |
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|
| 44 |
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| 45 |
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| 46 |
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"distance_to_camera": 1.1340994436787146,
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| 48 |
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| 50 |
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"height": 0.322265625,
|
| 51 |
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"depth": 1.08
|
| 52 |
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},
|
| 53 |
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{
|
| 54 |
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"circle_color": "green",
|
| 55 |
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"label": "armchair",
|
| 56 |
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"id": "armchair_0",
|
| 57 |
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"centroid": [
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| 58 |
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| 59 |
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],
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| 62 |
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"distance_to_camera": 3.141082812279131,
|
| 63 |
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|
| 64 |
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"length": 0.701416015625,
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| 65 |
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"height": 0.46826171875,
|
| 66 |
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"depth": 2.8
|
| 67 |
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}
|
| 68 |
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],
|
| 69 |
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"scene_id": "0224_txt_b4ff8b53cd9f",
|
| 70 |
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"layout_path": null,
|
| 71 |
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"image_path": "question_image_14.jpg"
|
| 72 |
+
}
|
0224_txt_b4ff8b53cd9f/tasks/006_depth_ordering/question_15.json
ADDED
|
@@ -0,0 +1,72 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
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|
|
|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
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|
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|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"type": "depth_ordering",
|
| 3 |
+
"question": "Arrange blue point, red point, and green point in order from nearest to farthest from the camera.",
|
| 4 |
+
"choices": [
|
| 5 |
+
"A. red, blue, green",
|
| 6 |
+
"B. blue, green, red",
|
| 7 |
+
"C. red, green, blue",
|
| 8 |
+
"D. blue, red, green"
|
| 9 |
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],
|
| 10 |
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"answer": "D",
|
| 11 |
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"camera_name": "rand_010",
|
| 12 |
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"camera_position": [
|
| 13 |
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|
| 14 |
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|
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| 22 |
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"objects": [
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| 23 |
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| 24 |
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|
| 25 |
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| 26 |
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"id": "table_0",
|
| 27 |
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"length": 0.2682032585144043,
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"height": 0.46435546875,
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"depth": 1.38
|
| 37 |
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},
|
| 38 |
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{
|
| 39 |
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"circle_color": "red",
|
| 40 |
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"label": "armchair",
|
| 41 |
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"id": "armchair_0",
|
| 42 |
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},
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{
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|
| 55 |
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"label": "armchair",
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],
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"scene_id": "0224_txt_b4ff8b53cd9f",
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| 70 |
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"layout_path": null,
|
| 71 |
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"image_path": "question_image_15.jpg"
|
| 72 |
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}
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