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- 0197_txt_ff7739f27c9b/meta/.cache_manifest.json +7 -0
- 0197_txt_ff7739f27c9b/meta/dimension_filter.json +7 -0
- 0197_txt_ff7739f27c9b/meta/label_filter.json +9 -0
- 0197_txt_ff7739f27c9b/meta/scene.json +0 -0
- 0197_txt_ff7739f27c9b/meta/visibility.json +1929 -0
- 0197_txt_ff7739f27c9b/meta/world_full.json +41 -0
- 0197_txt_ff7739f27c9b/tasks/000_closest_object/question_0.json +51 -0
- 0197_txt_ff7739f27c9b/tasks/000_closest_object/question_1.json +51 -0
- 0197_txt_ff7739f27c9b/tasks/000_closest_object/question_10.json +51 -0
- 0197_txt_ff7739f27c9b/tasks/000_closest_object/question_11.json +51 -0
- 0197_txt_ff7739f27c9b/tasks/000_closest_object/question_12.json +51 -0
- 0197_txt_ff7739f27c9b/tasks/000_closest_object/question_13.json +51 -0
- 0197_txt_ff7739f27c9b/tasks/000_closest_object/question_14.json +51 -0
- 0197_txt_ff7739f27c9b/tasks/000_closest_object/question_2.json +51 -0
- 0197_txt_ff7739f27c9b/tasks/000_closest_object/question_3.json +51 -0
- 0197_txt_ff7739f27c9b/tasks/000_closest_object/question_4.json +51 -0
- 0197_txt_ff7739f27c9b/tasks/000_closest_object/question_5.json +51 -0
- 0197_txt_ff7739f27c9b/tasks/000_closest_object/question_6.json +51 -0
- 0197_txt_ff7739f27c9b/tasks/000_closest_object/question_7.json +51 -0
- 0197_txt_ff7739f27c9b/tasks/000_closest_object/question_8.json +51 -0
- 0197_txt_ff7739f27c9b/tasks/000_closest_object/question_9.json +51 -0
- 0197_txt_ff7739f27c9b/tasks/001_depth_estimation/question_0.json +32 -0
- 0197_txt_ff7739f27c9b/tasks/001_depth_estimation/question_1.json +32 -0
- 0197_txt_ff7739f27c9b/tasks/001_depth_estimation/question_10.json +32 -0
- 0197_txt_ff7739f27c9b/tasks/001_depth_estimation/question_11.json +32 -0
- 0197_txt_ff7739f27c9b/tasks/001_depth_estimation/question_12.json +32 -0
- 0197_txt_ff7739f27c9b/tasks/001_depth_estimation/question_13.json +32 -0
- 0197_txt_ff7739f27c9b/tasks/001_depth_estimation/question_14.json +32 -0
- 0197_txt_ff7739f27c9b/tasks/001_depth_estimation/question_15.json +32 -0
- 0197_txt_ff7739f27c9b/tasks/001_depth_estimation/question_16.json +32 -0
- 0197_txt_ff7739f27c9b/tasks/001_depth_estimation/question_17.json +32 -0
- 0197_txt_ff7739f27c9b/tasks/001_depth_estimation/question_18.json +32 -0
- 0197_txt_ff7739f27c9b/tasks/001_depth_estimation/question_19.json +32 -0
- 0197_txt_ff7739f27c9b/tasks/001_depth_estimation/question_2.json +32 -0
- 0197_txt_ff7739f27c9b/tasks/001_depth_estimation/question_20.json +32 -0
- 0197_txt_ff7739f27c9b/tasks/001_depth_estimation/question_21.json +32 -0
- 0197_txt_ff7739f27c9b/tasks/001_depth_estimation/question_22.json +32 -0
- 0197_txt_ff7739f27c9b/tasks/001_depth_estimation/question_23.json +32 -0
- 0197_txt_ff7739f27c9b/tasks/001_depth_estimation/question_24.json +32 -0
- 0197_txt_ff7739f27c9b/tasks/001_depth_estimation/question_25.json +32 -0
- 0197_txt_ff7739f27c9b/tasks/001_depth_estimation/question_26.json +32 -0
- 0197_txt_ff7739f27c9b/tasks/001_depth_estimation/question_27.json +32 -0
- 0197_txt_ff7739f27c9b/tasks/001_depth_estimation/question_3.json +32 -0
- 0197_txt_ff7739f27c9b/tasks/001_depth_estimation/question_4.json +32 -0
- 0197_txt_ff7739f27c9b/tasks/001_depth_estimation/question_5.json +32 -0
- 0197_txt_ff7739f27c9b/tasks/001_depth_estimation/question_6.json +32 -0
- 0197_txt_ff7739f27c9b/tasks/001_depth_estimation/question_7.json +32 -0
- 0197_txt_ff7739f27c9b/tasks/001_depth_estimation/question_8.json +32 -0
- 0197_txt_ff7739f27c9b/tasks/001_depth_estimation/question_9.json +32 -0
- 0197_txt_ff7739f27c9b/tasks/003_object_distance/question_0.json +47 -0
0197_txt_ff7739f27c9b/meta/.cache_manifest.json
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{
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"cache_key": "ff7739f27c9b54ce_marble-1.1_None",
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"world_id": "7c4be1ab-d4fa-471d-aa70-cb4147452aec",
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"operation_id": "9dbb85f0-0a41-452e-ae3c-bc688762d2c6",
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"assets_downloaded": true,
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"usd_converted": true
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}
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0197_txt_ff7739f27c9b/meta/dimension_filter.json
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{
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"excluded": [
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"electrical outlet_0",
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"headphones_0",
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"power outlet_0"
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]
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}
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0197_txt_ff7739f27c9b/meta/label_filter.json
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{
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"excluded": [
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"artwork_0",
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"artwork_1",
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"floor lamp_1",
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"storage box_0",
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"table_1"
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]
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}
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0197_txt_ff7739f27c9b/meta/scene.json
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The diff for this file is too large to render.
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0197_txt_ff7739f27c9b/meta/visibility.json
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@@ -0,0 +1,1929 @@
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|
|
|
|
| 1 |
+
{
|
| 2 |
+
"rand_000": [
|
| 3 |
+
"cord_0",
|
| 4 |
+
"drawer_0",
|
| 5 |
+
"power outlet_0",
|
| 6 |
+
"shelf_0",
|
| 7 |
+
"speaker_0",
|
| 8 |
+
"vase_0",
|
| 9 |
+
"speaker_1"
|
| 10 |
+
],
|
| 11 |
+
"rand_001": [
|
| 12 |
+
"ball_0",
|
| 13 |
+
"book_0",
|
| 14 |
+
"electrical outlet_0",
|
| 15 |
+
"figurine_0",
|
| 16 |
+
"picture frame_0",
|
| 17 |
+
"poster_0",
|
| 18 |
+
"smiley face pillow_0",
|
| 19 |
+
"table_0",
|
| 20 |
+
"box_1",
|
| 21 |
+
"picture frame_1",
|
| 22 |
+
"table_1"
|
| 23 |
+
],
|
| 24 |
+
"rand_002": [
|
| 25 |
+
"cord_0",
|
| 26 |
+
"figurine_0",
|
| 27 |
+
"poster_0",
|
| 28 |
+
"power outlet_0",
|
| 29 |
+
"shelf_0",
|
| 30 |
+
"speaker_0",
|
| 31 |
+
"picture frame_1"
|
| 32 |
+
],
|
| 33 |
+
"rand_003": [
|
| 34 |
+
"drawer_0",
|
| 35 |
+
"figurine_0",
|
| 36 |
+
"shelf_0",
|
| 37 |
+
"speaker_0",
|
| 38 |
+
"vase_0",
|
| 39 |
+
"picture frame_1",
|
| 40 |
+
"shelf_1",
|
| 41 |
+
"speaker_1"
|
| 42 |
+
],
|
| 43 |
+
"rand_004": [
|
| 44 |
+
"ball_0",
|
| 45 |
+
"book_0",
|
| 46 |
+
"electrical outlet_0",
|
| 47 |
+
"figurine_0",
|
| 48 |
+
"picture frame_0",
|
| 49 |
+
"poster_0",
|
| 50 |
+
"smiley face pillow_0",
|
| 51 |
+
"table_0",
|
| 52 |
+
"tripod_0",
|
| 53 |
+
"wall decor_0",
|
| 54 |
+
"box_1",
|
| 55 |
+
"picture frame_1"
|
| 56 |
+
],
|
| 57 |
+
"rand_005": [
|
| 58 |
+
"ball_0",
|
| 59 |
+
"figurine_0",
|
| 60 |
+
"poster_0",
|
| 61 |
+
"shelf_0",
|
| 62 |
+
"speaker_0",
|
| 63 |
+
"table_0",
|
| 64 |
+
"picture frame_1",
|
| 65 |
+
"shelf_1"
|
| 66 |
+
],
|
| 67 |
+
"rand_006": [
|
| 68 |
+
"ball_0",
|
| 69 |
+
"book_0",
|
| 70 |
+
"electrical outlet_0",
|
| 71 |
+
"picture frame_0",
|
| 72 |
+
"smiley face pillow_0",
|
| 73 |
+
"table_0",
|
| 74 |
+
"tripod_0",
|
| 75 |
+
"wall decor_0",
|
| 76 |
+
"box_1",
|
| 77 |
+
"table_1"
|
| 78 |
+
],
|
| 79 |
+
"rand_007": [
|
| 80 |
+
"cord_0",
|
| 81 |
+
"power outlet_0",
|
| 82 |
+
"shelf_0",
|
| 83 |
+
"speaker_0",
|
| 84 |
+
"vase_0",
|
| 85 |
+
"shelf_1",
|
| 86 |
+
"speaker_1"
|
| 87 |
+
],
|
| 88 |
+
"rand_008": [
|
| 89 |
+
"cord_0",
|
| 90 |
+
"power outlet_0",
|
| 91 |
+
"shelf_0"
|
| 92 |
+
],
|
| 93 |
+
"rand_009": [
|
| 94 |
+
"cord_0",
|
| 95 |
+
"figurine_0",
|
| 96 |
+
"power outlet_0",
|
| 97 |
+
"shelf_0",
|
| 98 |
+
"speaker_0",
|
| 99 |
+
"vase_0",
|
| 100 |
+
"shelf_1",
|
| 101 |
+
"speaker_1"
|
| 102 |
+
],
|
| 103 |
+
"rand_010": [
|
| 104 |
+
"ball_0",
|
| 105 |
+
"book_0",
|
| 106 |
+
"picture frame_0",
|
| 107 |
+
"poster_0",
|
| 108 |
+
"smiley face pillow_0",
|
| 109 |
+
"table_0",
|
| 110 |
+
"box_1",
|
| 111 |
+
"picture frame_1",
|
| 112 |
+
"table_1"
|
| 113 |
+
],
|
| 114 |
+
"rand_011": [
|
| 115 |
+
"ball_0",
|
| 116 |
+
"book_0",
|
| 117 |
+
"drawer_0",
|
| 118 |
+
"electrical outlet_0",
|
| 119 |
+
"figurine_0",
|
| 120 |
+
"picture frame_0",
|
| 121 |
+
"poster_0",
|
| 122 |
+
"smiley face pillow_0",
|
| 123 |
+
"table_0",
|
| 124 |
+
"tripod_0",
|
| 125 |
+
"wall decor_0",
|
| 126 |
+
"box_1",
|
| 127 |
+
"picture frame_1",
|
| 128 |
+
"shelf_1"
|
| 129 |
+
],
|
| 130 |
+
"rand_012": [
|
| 131 |
+
"ball_0",
|
| 132 |
+
"book_0",
|
| 133 |
+
"drawer_0",
|
| 134 |
+
"figurine_0",
|
| 135 |
+
"picture frame_0",
|
| 136 |
+
"poster_0",
|
| 137 |
+
"smiley face pillow_0",
|
| 138 |
+
"table_0",
|
| 139 |
+
"box_1",
|
| 140 |
+
"picture frame_1",
|
| 141 |
+
"table_1"
|
| 142 |
+
],
|
| 143 |
+
"rand_013": [
|
| 144 |
+
"ball_0",
|
| 145 |
+
"cord_0",
|
| 146 |
+
"drawer_0",
|
| 147 |
+
"figurine_0",
|
| 148 |
+
"headphones_0",
|
| 149 |
+
"poster_0",
|
| 150 |
+
"power outlet_0",
|
| 151 |
+
"shelf_0",
|
| 152 |
+
"speaker_0",
|
| 153 |
+
"table_0",
|
| 154 |
+
"vase_0",
|
| 155 |
+
"picture frame_1",
|
| 156 |
+
"shelf_1",
|
| 157 |
+
"speaker_1"
|
| 158 |
+
],
|
| 159 |
+
"rand_014": [
|
| 160 |
+
"cord_0",
|
| 161 |
+
"drawer_0",
|
| 162 |
+
"power outlet_0",
|
| 163 |
+
"shelf_0",
|
| 164 |
+
"vase_0",
|
| 165 |
+
"speaker_1"
|
| 166 |
+
],
|
| 167 |
+
"rand_015": [
|
| 168 |
+
"cord_0",
|
| 169 |
+
"power outlet_0",
|
| 170 |
+
"table_0"
|
| 171 |
+
],
|
| 172 |
+
"rand_016": [
|
| 173 |
+
"ball_0",
|
| 174 |
+
"book_0",
|
| 175 |
+
"drawer_0",
|
| 176 |
+
"figurine_0",
|
| 177 |
+
"headphones_0",
|
| 178 |
+
"poster_0",
|
| 179 |
+
"shelf_0",
|
| 180 |
+
"smiley face pillow_0",
|
| 181 |
+
"speaker_0",
|
| 182 |
+
"table_0",
|
| 183 |
+
"vase_0",
|
| 184 |
+
"box_1",
|
| 185 |
+
"picture frame_1",
|
| 186 |
+
"shelf_1"
|
| 187 |
+
],
|
| 188 |
+
"rand_017": [
|
| 189 |
+
"ball_0",
|
| 190 |
+
"book_0",
|
| 191 |
+
"drawer_0",
|
| 192 |
+
"electrical outlet_0",
|
| 193 |
+
"figurine_0",
|
| 194 |
+
"picture frame_0",
|
| 195 |
+
"poster_0",
|
| 196 |
+
"smiley face pillow_0",
|
| 197 |
+
"table_0",
|
| 198 |
+
"tripod_0",
|
| 199 |
+
"wall decor_0",
|
| 200 |
+
"box_1",
|
| 201 |
+
"picture frame_1",
|
| 202 |
+
"shelf_1"
|
| 203 |
+
],
|
| 204 |
+
"rand_018": [
|
| 205 |
+
"ball_0",
|
| 206 |
+
"book_0",
|
| 207 |
+
"figurine_0",
|
| 208 |
+
"picture frame_0",
|
| 209 |
+
"poster_0",
|
| 210 |
+
"smiley face pillow_0",
|
| 211 |
+
"table_0",
|
| 212 |
+
"box_1",
|
| 213 |
+
"picture frame_1",
|
| 214 |
+
"table_1"
|
| 215 |
+
],
|
| 216 |
+
"rand_019": [
|
| 217 |
+
"ball_0",
|
| 218 |
+
"book_0",
|
| 219 |
+
"figurine_0",
|
| 220 |
+
"poster_0",
|
| 221 |
+
"smiley face pillow_0",
|
| 222 |
+
"table_0",
|
| 223 |
+
"tripod_0",
|
| 224 |
+
"wall decor_0",
|
| 225 |
+
"box_1",
|
| 226 |
+
"picture frame_1"
|
| 227 |
+
],
|
| 228 |
+
"rand_020": [
|
| 229 |
+
"ball_0",
|
| 230 |
+
"book_0",
|
| 231 |
+
"electrical outlet_0",
|
| 232 |
+
"picture frame_0",
|
| 233 |
+
"smiley face pillow_0",
|
| 234 |
+
"table_0",
|
| 235 |
+
"tripod_0",
|
| 236 |
+
"wall decor_0",
|
| 237 |
+
"box_1"
|
| 238 |
+
],
|
| 239 |
+
"rand_021": [
|
| 240 |
+
"ball_0",
|
| 241 |
+
"book_0",
|
| 242 |
+
"picture frame_0",
|
| 243 |
+
"poster_0",
|
| 244 |
+
"smiley face pillow_0",
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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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|
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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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|
| 1654 |
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|
| 1655 |
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|
| 1656 |
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|
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| 1771 |
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| 1773 |
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| 1776 |
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|
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| 1791 |
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| 1793 |
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| 1794 |
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| 1795 |
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| 1796 |
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|
| 1797 |
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|
| 1798 |
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|
| 1799 |
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"shelf_1"
|
| 1800 |
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],
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| 1801 |
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|
| 1802 |
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|
| 1803 |
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| 1804 |
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| 1806 |
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| 1807 |
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|
| 1808 |
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| 1809 |
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"speaker_1"
|
| 1810 |
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|
| 1812 |
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|
| 1813 |
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| 1814 |
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| 1815 |
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|
| 1816 |
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|
| 1817 |
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|
| 1818 |
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|
| 1819 |
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|
| 1821 |
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|
| 1822 |
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|
| 1824 |
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|
| 1825 |
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| 1828 |
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|
| 1829 |
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|
| 1830 |
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|
| 1831 |
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|
| 1832 |
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|
| 1833 |
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"speaker_1"
|
| 1834 |
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|
| 1836 |
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|
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| 1838 |
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|
| 1839 |
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|
| 1840 |
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|
| 1841 |
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|
| 1842 |
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"speaker_1"
|
| 1843 |
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|
| 1845 |
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|
| 1846 |
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|
| 1847 |
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"drawer_0",
|
| 1848 |
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"figurine_0",
|
| 1849 |
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"headphones_0",
|
| 1850 |
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"poster_0",
|
| 1851 |
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"power outlet_0",
|
| 1852 |
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|
| 1853 |
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|
| 1854 |
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|
| 1855 |
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|
| 1856 |
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|
| 1857 |
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|
| 1858 |
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|
| 1859 |
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|
| 1860 |
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"speaker_1"
|
| 1861 |
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],
|
| 1862 |
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|
| 1863 |
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|
| 1864 |
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|
| 1865 |
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"vase_0",
|
| 1866 |
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"window blinds_0",
|
| 1867 |
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|
| 1868 |
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],
|
| 1869 |
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|
| 1870 |
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|
| 1871 |
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|
| 1872 |
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|
| 1873 |
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"speaker_0",
|
| 1874 |
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|
| 1875 |
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"speaker_1"
|
| 1876 |
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],
|
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|
| 1878 |
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|
| 1879 |
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"drawer_0",
|
| 1880 |
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"power outlet_0",
|
| 1881 |
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"shelf_0",
|
| 1882 |
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"speaker_0",
|
| 1883 |
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"vase_0",
|
| 1884 |
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"shelf_1",
|
| 1885 |
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"speaker_1"
|
| 1886 |
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],
|
| 1887 |
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|
| 1888 |
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"cord_0",
|
| 1889 |
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"figurine_0",
|
| 1890 |
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"headphones_0",
|
| 1891 |
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"poster_0",
|
| 1892 |
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"power outlet_0",
|
| 1893 |
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"shelf_0",
|
| 1894 |
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"speaker_0",
|
| 1895 |
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"vase_0",
|
| 1896 |
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"picture frame_1",
|
| 1897 |
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"shelf_1",
|
| 1898 |
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"speaker_1"
|
| 1899 |
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],
|
| 1900 |
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|
| 1901 |
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"cord_0",
|
| 1902 |
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"headphones_0",
|
| 1903 |
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"power outlet_0",
|
| 1904 |
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"shelf_0",
|
| 1905 |
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"speaker_0",
|
| 1906 |
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"vase_0",
|
| 1907 |
+
"shelf_1",
|
| 1908 |
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"speaker_1"
|
| 1909 |
+
],
|
| 1910 |
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"view_011_step_yaw_left": [
|
| 1911 |
+
"cord_0",
|
| 1912 |
+
"power outlet_0",
|
| 1913 |
+
"vase_0",
|
| 1914 |
+
"speaker_1"
|
| 1915 |
+
],
|
| 1916 |
+
"view_011_step_yaw_right": [
|
| 1917 |
+
"cord_0",
|
| 1918 |
+
"figurine_0",
|
| 1919 |
+
"headphones_0",
|
| 1920 |
+
"poster_0",
|
| 1921 |
+
"power outlet_0",
|
| 1922 |
+
"shelf_0",
|
| 1923 |
+
"speaker_0",
|
| 1924 |
+
"vase_0",
|
| 1925 |
+
"picture frame_1",
|
| 1926 |
+
"shelf_1",
|
| 1927 |
+
"speaker_1"
|
| 1928 |
+
]
|
| 1929 |
+
}
|
0197_txt_ff7739f27c9b/meta/world_full.json
ADDED
|
@@ -0,0 +1,41 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"world_id": "7c4be1ab-d4fa-471d-aa70-cb4147452aec",
|
| 3 |
+
"display_name": "This cozy, compact corner of a residenti",
|
| 4 |
+
"tags": null,
|
| 5 |
+
"assets": {
|
| 6 |
+
"mesh": {
|
| 7 |
+
"collider_mesh_url": "https://cdn.marble.worldlabs.ai/7c4be1ab-d4fa-471d-aa70-cb4147452aec/bf536293.glb"
|
| 8 |
+
},
|
| 9 |
+
"imagery": {
|
| 10 |
+
"pano_url": "https://cdn.marble.worldlabs.ai/7c4be1ab-d4fa-471d-aa70-cb4147452aec/5c057bf4-380a-4e2b-ad1c-41b3719523df_panos/rgb_0.png"
|
| 11 |
+
},
|
| 12 |
+
"splats": {
|
| 13 |
+
"spz_urls": {
|
| 14 |
+
"500k": "https://cdn.marble.worldlabs.ai/7c4be1ab-d4fa-471d-aa70-cb4147452aec/8c9acda2-c3ba-4dcb-aae7-e7e4ccb799b5_ceramic_500k.spz",
|
| 15 |
+
"100k": "https://cdn.marble.worldlabs.ai/7c4be1ab-d4fa-471d-aa70-cb4147452aec/89739e53-a246-488a-b982-99adf7226b2f_dust_100k.spz",
|
| 16 |
+
"150k": "https://cdn.marble.worldlabs.ai/7c4be1ab-d4fa-471d-aa70-cb4147452aec/186363e5-32ee-462b-8b25-8779cf7cc172_ceramic_150k.spz",
|
| 17 |
+
"full_res": "https://cdn.marble.worldlabs.ai/7c4be1ab-d4fa-471d-aa70-cb4147452aec/1e60e8b9-106d-46fa-9cc9-33af231d84d2_ceramic.spz"
|
| 18 |
+
},
|
| 19 |
+
"semantics_metadata": {
|
| 20 |
+
"metric_scale_factor": 0.697129487991333,
|
| 21 |
+
"ground_plane_offset": 1.356122612953186
|
| 22 |
+
}
|
| 23 |
+
},
|
| 24 |
+
"thumbnail_url": "https://cdn.marble.worldlabs.ai/7c4be1ab-d4fa-471d-aa70-cb4147452aec/14eaffe7-0ba2-498e-944c-a63dab51222e_sand_mpi/thumbnail.webp",
|
| 25 |
+
"caption": "The scene is a cozy, compact corner of a residential bedroom or study space, captured in a realistic style, exuding a warm and inviting atmosphere. The room features a soft beige wall on the left and a pale gray wall on the right, converging to form a snug corner. A large window with white horizontal blinds dominates the right wall, allowing diffused daylight to mix with the warm artificial light. The floor is covered in medium-pile, taupe-colored carpeting, providing a soft foundation for the space. A tall, silver floor lamp with three adjustable, conical white shades stands near the window, casting bright, warm-toned light that creates soft shadows and gentle highlights across nearby surfaces. A white plastic shelving unit, rectangular and approximately 3 ft tall by 2 ft wide with four open shelves, is positioned against the left wall, extending toward the corner. This unit, with its matte white finish and slightly scuffed edges, holds books, plastic bins, and decorative items. A black printer, rectangular and about 16 inches wide with a matte plastic casing, rests on the top shelf of the shelving unit. White over-ear headphones, glossy plastic and metal construction, are also on the top shelf, near the right edge. A yellow emoji pillow with sunglasses, round and plush fabric, about 12 inches in diameter, is propped against a framed poster on the left. The framed poster, vertical and 18x24 inches, displays colorful anime-style artwork with Korean text, leaning against a small wooden side table. This two-tier side table, made of light oak laminate with white metal legs and 20 inches tall, is positioned to the left of the shelving unit, holding a framed photo and a small figurine. Two clear plastic storage bins, translucent with white lids and slightly dusty, are stacked on the second shelf of the unit. Two wooden storage boxes, made of light pine wood with a woven texture and labeled with black marker, are on the bottom shelf. The silver floor lamp, 6 ft high with a metallic pole and three adjustable arms, each capped with a white fabric shade, is plugged into a wall outlet near the window. A white power cord is coiled loosely on the floor near the lamp base, plugged into a lower wall outlet. Wall art, a framed illustration of animated characters, hangs above the shelving unit, partially obscured by the lamp. Small figurines and books, including a white cat statue and colorful manga volumes, are scattered across the shelves. "
|
| 26 |
+
},
|
| 27 |
+
"created_at": "2026-04-10T16:12:48Z",
|
| 28 |
+
"updated_at": "2026-04-10T16:18:29Z",
|
| 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 cozy, compact corner of a residential bedroom or study space, captured in a realistic style, exuding a warm and inviting atmosphere. The room features a soft beige wall on the left and a pale gray wall on the right, converging to form a snug corner. A large window with white horizontal blinds dominates the right wall, allowing diffused daylight to mix with the warm artificial light. The floor is covered in medium-pile, taupe-colored carpeting, providing a soft foundation for the space. A tall, silver floor lamp with three adjustable, conical white shades stands near the window, casting bright, warm-toned light that creates soft shadows and gentle highlights across nearby surfaces. A white plastic shelving unit, rectangular and approximately 3 ft tall by 2 ft wide with four open shelves, is positioned against the left wall, extending toward the corner. This unit, with its matte white finish and slightly scuffed edges, holds books, plastic bins, and decorative items. A black printer, rectangular and about 16 inches wide with a matte plastic casing, rests on the top shelf of the shelving unit. White over-ear headphones, glossy plastic and metal construction, are also on the top shelf, near the right edge. A yellow emoji pillow with sunglasses, round and plush fabric, about 12 inches in diameter, is propped against a framed poster on the left. The framed poster, vertical and 18x24 inches, displays colorful anime-style artwork with Korean text, leaning against a small wooden side table. This two-tier side table, made of light oak laminate with white metal legs and 20 inches tall, is positioned to the left of the shelving unit, holding a framed photo and a small figurine. Two clear plastic storage bins, translucent with white lids and slightly dusty, are stacked on the second shelf of the unit. Two wooden storage boxes, made of light pine wood with a woven texture and labeled with black marker, are on the bottom shelf. The silver floor lamp, 6 ft high with a metallic pole and three adjustable arms, each capped with a white fabric shade, is plugged into a wall outlet near the window. A white power cord is coiled loosely on the floor near the lamp base, plugged into a lower wall outlet. Wall art, a framed illustration of animated characters, hangs above the shelving unit, partially obscured by the lamp. Small figurines and books, including a white cat statue and colorful manga volumes, are scattered across the shelves. The 360 scene is faultless.",
|
| 37 |
+
"type": "text"
|
| 38 |
+
},
|
| 39 |
+
"world_marble_url": "https://marble.worldlabs.ai/world/7c4be1ab-d4fa-471d-aa70-cb4147452aec",
|
| 40 |
+
"model": "marble-1.1"
|
| 41 |
+
}
|
0197_txt_ff7739f27c9b/tasks/000_closest_object/question_0.json
ADDED
|
@@ -0,0 +1,51 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"type": "closest_object",
|
| 3 |
+
"question": "Identify which object has a smaller distance to the camera: box (blue point) or figurine (red point). Calculate or judge based on the 3D center points of these objects. Choose the right response.",
|
| 4 |
+
"choices": [
|
| 5 |
+
"A. box (blue point)",
|
| 6 |
+
"B. figurine (red point)"
|
| 7 |
+
],
|
| 8 |
+
"answer": "B",
|
| 9 |
+
"camera_name": "rand_033",
|
| 10 |
+
"camera_position": [
|
| 11 |
+
-0.6343904480476812,
|
| 12 |
+
-0.8993465749018635,
|
| 13 |
+
-0.542076709372572
|
| 14 |
+
],
|
| 15 |
+
"camera_look_at": [
|
| 16 |
+
1.7150087225514619,
|
| 17 |
+
-0.4723120981616493,
|
| 18 |
+
-1.3038602194276232
|
| 19 |
+
],
|
| 20 |
+
"blue": {
|
| 21 |
+
"circle_color": "blue",
|
| 22 |
+
"label": "box",
|
| 23 |
+
"id": "box_0",
|
| 24 |
+
"centroid": [
|
| 25 |
+
1.528324007987976,
|
| 26 |
+
-0.8465446829795837,
|
| 27 |
+
-0.7480932474136353
|
| 28 |
+
],
|
| 29 |
+
"distance_to_camera": 2.1731462610884265,
|
| 30 |
+
"width": 0.23486328125,
|
| 31 |
+
"length": 0.55908203125,
|
| 32 |
+
"height": 0.3988330364227295
|
| 33 |
+
},
|
| 34 |
+
"red": {
|
| 35 |
+
"circle_color": "red",
|
| 36 |
+
"label": "figurine",
|
| 37 |
+
"id": "figurine_0",
|
| 38 |
+
"centroid": [
|
| 39 |
+
0.6880354881286621,
|
| 40 |
+
-1.5964938402175903,
|
| 41 |
+
-0.89697265625
|
| 42 |
+
],
|
| 43 |
+
"distance_to_camera": 1.5364816299972808,
|
| 44 |
+
"width": 0.18843752145767212,
|
| 45 |
+
"length": 0.34810543060302734,
|
| 46 |
+
"height": 0.20849609375
|
| 47 |
+
},
|
| 48 |
+
"scene_id": "0197_txt_ff7739f27c9b",
|
| 49 |
+
"layout_path": null,
|
| 50 |
+
"image_path": "question_image_0.jpg"
|
| 51 |
+
}
|
0197_txt_ff7739f27c9b/tasks/000_closest_object/question_1.json
ADDED
|
@@ -0,0 +1,51 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"type": "closest_object",
|
| 3 |
+
"question": "Which is closer to the camera, emoji pillow (blue point) or box (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. emoji pillow (blue point)",
|
| 6 |
+
"B. box (red point)"
|
| 7 |
+
],
|
| 8 |
+
"answer": "A",
|
| 9 |
+
"camera_name": "rand_053",
|
| 10 |
+
"camera_position": [
|
| 11 |
+
0.3883022801707668,
|
| 12 |
+
-0.07806272699235398,
|
| 13 |
+
-0.3991617851577338
|
| 14 |
+
],
|
| 15 |
+
"camera_look_at": [
|
| 16 |
+
1.1283371376808289,
|
| 17 |
+
-1.6487285959650377,
|
| 18 |
+
-0.5772286188301825
|
| 19 |
+
],
|
| 20 |
+
"blue": {
|
| 21 |
+
"circle_color": "blue",
|
| 22 |
+
"label": "emoji pillow",
|
| 23 |
+
"id": "emoji pillow_0",
|
| 24 |
+
"centroid": [
|
| 25 |
+
1.1583631038665771,
|
| 26 |
+
-1.087691307067871,
|
| 27 |
+
-0.839599609375
|
| 28 |
+
],
|
| 29 |
+
"distance_to_camera": 1.3439974028611865,
|
| 30 |
+
"width": 0.22072267532348633,
|
| 31 |
+
"length": 0.36574220657348633,
|
| 32 |
+
"height": 0.32958984375
|
| 33 |
+
},
|
| 34 |
+
"red": {
|
| 35 |
+
"circle_color": "red",
|
| 36 |
+
"label": "box",
|
| 37 |
+
"id": "box_1",
|
| 38 |
+
"centroid": [
|
| 39 |
+
-0.1739657074213028,
|
| 40 |
+
-2.689289093017578,
|
| 41 |
+
-0.9004199206829071
|
| 42 |
+
],
|
| 43 |
+
"distance_to_camera": 2.7177027326266403,
|
| 44 |
+
"width": 0.3995996117591858,
|
| 45 |
+
"length": 0.350283145904541,
|
| 46 |
+
"height": 0.2830858826637268
|
| 47 |
+
},
|
| 48 |
+
"scene_id": "0197_txt_ff7739f27c9b",
|
| 49 |
+
"layout_path": null,
|
| 50 |
+
"image_path": "question_image_1.jpg"
|
| 51 |
+
}
|
0197_txt_ff7739f27c9b/tasks/000_closest_object/question_10.json
ADDED
|
@@ -0,0 +1,51 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"type": "closest_object",
|
| 3 |
+
"question": "Identify which object has a smaller distance to the camera: tripod (blue point) or box (red point). Calculate or judge based on the 3D center points of these objects. Choose the right response.",
|
| 4 |
+
"choices": [
|
| 5 |
+
"A. tripod (blue point)",
|
| 6 |
+
"B. box (red point)"
|
| 7 |
+
],
|
| 8 |
+
"answer": "B",
|
| 9 |
+
"camera_name": "rand_021",
|
| 10 |
+
"camera_position": [
|
| 11 |
+
0.3232170165899161,
|
| 12 |
+
-1.6642276496259947,
|
| 13 |
+
-0.4539265066665421
|
| 14 |
+
],
|
| 15 |
+
"camera_look_at": [
|
| 16 |
+
1.4910251287620535,
|
| 17 |
+
0.6397774712156323,
|
| 18 |
+
-1.2610625230814738
|
| 19 |
+
],
|
| 20 |
+
"blue": {
|
| 21 |
+
"circle_color": "blue",
|
| 22 |
+
"label": "tripod",
|
| 23 |
+
"id": "tripod_0",
|
| 24 |
+
"centroid": [
|
| 25 |
+
0.9877436757087708,
|
| 26 |
+
1.116387963294983,
|
| 27 |
+
-1.060361385345459
|
| 28 |
+
],
|
| 29 |
+
"distance_to_camera": 2.922530090448665,
|
| 30 |
+
"width": 0.5988428592681885,
|
| 31 |
+
"length": 0.5350635051727295,
|
| 32 |
+
"height": 1.096308708190918
|
| 33 |
+
},
|
| 34 |
+
"red": {
|
| 35 |
+
"circle_color": "red",
|
| 36 |
+
"label": "box",
|
| 37 |
+
"id": "box_0",
|
| 38 |
+
"centroid": [
|
| 39 |
+
1.528324007987976,
|
| 40 |
+
-0.8465446829795837,
|
| 41 |
+
-0.7480932474136353
|
| 42 |
+
],
|
| 43 |
+
"distance_to_camera": 1.4857396696669058,
|
| 44 |
+
"width": 0.23486328125,
|
| 45 |
+
"length": 0.55908203125,
|
| 46 |
+
"height": 0.3988330364227295
|
| 47 |
+
},
|
| 48 |
+
"scene_id": "0197_txt_ff7739f27c9b",
|
| 49 |
+
"layout_path": null,
|
| 50 |
+
"image_path": "question_image_10.jpg"
|
| 51 |
+
}
|
0197_txt_ff7739f27c9b/tasks/000_closest_object/question_11.json
ADDED
|
@@ -0,0 +1,51 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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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": "closest_object",
|
| 3 |
+
"question": "Identify which object has a smaller distance to the camera: table (blue point) or figurine (red point). Calculate or judge based on the 3D center points of these objects. Choose the right response.",
|
| 4 |
+
"choices": [
|
| 5 |
+
"A. table (blue point)",
|
| 6 |
+
"B. figurine (red point)"
|
| 7 |
+
],
|
| 8 |
+
"answer": "B",
|
| 9 |
+
"camera_name": "rand_009",
|
| 10 |
+
"camera_position": [
|
| 11 |
+
0.06627598077884148,
|
| 12 |
+
-0.565702109671371,
|
| 13 |
+
-0.5849220085167497
|
| 14 |
+
],
|
| 15 |
+
"camera_look_at": [
|
| 16 |
+
1.0527462084980377,
|
| 17 |
+
-1.2524314740979055,
|
| 18 |
+
-1.2155681894952404
|
| 19 |
+
],
|
| 20 |
+
"blue": {
|
| 21 |
+
"circle_color": "blue",
|
| 22 |
+
"label": "table",
|
| 23 |
+
"id": "table_1",
|
| 24 |
+
"centroid": [
|
| 25 |
+
1.8292362689971924,
|
| 26 |
+
-0.9036316275596619,
|
| 27 |
+
-1.7508935332298279
|
| 28 |
+
],
|
| 29 |
+
"distance_to_camera": 2.140494086265338,
|
| 30 |
+
"width": 0.6789455413818359,
|
| 31 |
+
"length": 0.7812402844429016,
|
| 32 |
+
"height": 0.31852543354034424
|
| 33 |
+
},
|
| 34 |
+
"red": {
|
| 35 |
+
"circle_color": "red",
|
| 36 |
+
"label": "figurine",
|
| 37 |
+
"id": "figurine_0",
|
| 38 |
+
"centroid": [
|
| 39 |
+
0.6880354881286621,
|
| 40 |
+
-1.5964938402175903,
|
| 41 |
+
-0.89697265625
|
| 42 |
+
],
|
| 43 |
+
"distance_to_camera": 1.2435803486277444,
|
| 44 |
+
"width": 0.18843752145767212,
|
| 45 |
+
"length": 0.34810543060302734,
|
| 46 |
+
"height": 0.20849609375
|
| 47 |
+
},
|
| 48 |
+
"scene_id": "0197_txt_ff7739f27c9b",
|
| 49 |
+
"layout_path": null,
|
| 50 |
+
"image_path": "question_image_11.jpg"
|
| 51 |
+
}
|
0197_txt_ff7739f27c9b/tasks/000_closest_object/question_12.json
ADDED
|
@@ -0,0 +1,51 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"type": "closest_object",
|
| 3 |
+
"question": "Out of artwork (blue point) and figurine (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. artwork (blue point)",
|
| 6 |
+
"B. figurine (red point)"
|
| 7 |
+
],
|
| 8 |
+
"answer": "B",
|
| 9 |
+
"camera_name": "rand_045",
|
| 10 |
+
"camera_position": [
|
| 11 |
+
-1.1819702638885556,
|
| 12 |
+
-1.4053349559664594,
|
| 13 |
+
-0.48661276219415206
|
| 14 |
+
],
|
| 15 |
+
"camera_look_at": [
|
| 16 |
+
1.4986372903079106,
|
| 17 |
+
-0.8386438222765829,
|
| 18 |
+
-0.7271537491306217
|
| 19 |
+
],
|
| 20 |
+
"blue": {
|
| 21 |
+
"circle_color": "blue",
|
| 22 |
+
"label": "artwork",
|
| 23 |
+
"id": "artwork_1",
|
| 24 |
+
"centroid": [
|
| 25 |
+
1.0056445598602295,
|
| 26 |
+
1.0987744331359863,
|
| 27 |
+
-0.8216333175078034
|
| 28 |
+
],
|
| 29 |
+
"distance_to_camera": 3.341924778052181,
|
| 30 |
+
"width": 0.17891114950180054,
|
| 31 |
+
"length": 0.17203128337860107,
|
| 32 |
+
"height": 1.5958154629915953
|
| 33 |
+
},
|
| 34 |
+
"red": {
|
| 35 |
+
"circle_color": "red",
|
| 36 |
+
"label": "figurine",
|
| 37 |
+
"id": "figurine_0",
|
| 38 |
+
"centroid": [
|
| 39 |
+
0.6880354881286621,
|
| 40 |
+
-1.5964938402175903,
|
| 41 |
+
-0.89697265625
|
| 42 |
+
],
|
| 43 |
+
"distance_to_camera": 1.9240214328991099,
|
| 44 |
+
"width": 0.18843752145767212,
|
| 45 |
+
"length": 0.34810543060302734,
|
| 46 |
+
"height": 0.20849609375
|
| 47 |
+
},
|
| 48 |
+
"scene_id": "0197_txt_ff7739f27c9b",
|
| 49 |
+
"layout_path": null,
|
| 50 |
+
"image_path": "question_image_12.jpg"
|
| 51 |
+
}
|
0197_txt_ff7739f27c9b/tasks/000_closest_object/question_13.json
ADDED
|
@@ -0,0 +1,51 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"type": "closest_object",
|
| 3 |
+
"question": "Which is closer to the camera, artwork (blue point) or figurine (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. artwork (blue point)",
|
| 6 |
+
"B. figurine (red point)"
|
| 7 |
+
],
|
| 8 |
+
"answer": "B",
|
| 9 |
+
"camera_name": "rand_045",
|
| 10 |
+
"camera_position": [
|
| 11 |
+
-1.1819702638885556,
|
| 12 |
+
-1.4053349559664594,
|
| 13 |
+
-0.48661276219415206
|
| 14 |
+
],
|
| 15 |
+
"camera_look_at": [
|
| 16 |
+
1.4986372903079106,
|
| 17 |
+
-0.8386438222765829,
|
| 18 |
+
-0.7271537491306217
|
| 19 |
+
],
|
| 20 |
+
"blue": {
|
| 21 |
+
"circle_color": "blue",
|
| 22 |
+
"label": "artwork",
|
| 23 |
+
"id": "artwork_1",
|
| 24 |
+
"centroid": [
|
| 25 |
+
1.0056445598602295,
|
| 26 |
+
1.0987744331359863,
|
| 27 |
+
-0.8216333175078034
|
| 28 |
+
],
|
| 29 |
+
"distance_to_camera": 3.341924778052181,
|
| 30 |
+
"width": 0.17891114950180054,
|
| 31 |
+
"length": 0.17203128337860107,
|
| 32 |
+
"height": 1.5958154629915953
|
| 33 |
+
},
|
| 34 |
+
"red": {
|
| 35 |
+
"circle_color": "red",
|
| 36 |
+
"label": "figurine",
|
| 37 |
+
"id": "figurine_0",
|
| 38 |
+
"centroid": [
|
| 39 |
+
0.6880354881286621,
|
| 40 |
+
-1.5964938402175903,
|
| 41 |
+
-0.89697265625
|
| 42 |
+
],
|
| 43 |
+
"distance_to_camera": 1.9240214328991099,
|
| 44 |
+
"width": 0.18843752145767212,
|
| 45 |
+
"length": 0.34810543060302734,
|
| 46 |
+
"height": 0.20849609375
|
| 47 |
+
},
|
| 48 |
+
"scene_id": "0197_txt_ff7739f27c9b",
|
| 49 |
+
"layout_path": null,
|
| 50 |
+
"image_path": "question_image_13.jpg"
|
| 51 |
+
}
|
0197_txt_ff7739f27c9b/tasks/000_closest_object/question_14.json
ADDED
|
@@ -0,0 +1,51 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"type": "closest_object",
|
| 3 |
+
"question": "Look at artwork (blue point) and table (red point). Which one appears at a shorter depth from the camera? Calculate or judge based on the 3D center points of these objects. Pick the correct answer.",
|
| 4 |
+
"choices": [
|
| 5 |
+
"A. artwork (blue point)",
|
| 6 |
+
"B. table (red point)"
|
| 7 |
+
],
|
| 8 |
+
"answer": "A",
|
| 9 |
+
"camera_name": "rand_004",
|
| 10 |
+
"camera_position": [
|
| 11 |
+
0.6295535558524348,
|
| 12 |
+
-0.5847170800578887,
|
| 13 |
+
-0.4806194192558535
|
| 14 |
+
],
|
| 15 |
+
"camera_look_at": [
|
| 16 |
+
1.1600396699059403,
|
| 17 |
+
-1.075029439100768,
|
| 18 |
+
-0.8459114526712734
|
| 19 |
+
],
|
| 20 |
+
"blue": {
|
| 21 |
+
"circle_color": "blue",
|
| 22 |
+
"label": "artwork",
|
| 23 |
+
"id": "artwork_0",
|
| 24 |
+
"centroid": [
|
| 25 |
+
1.0567504167556763,
|
| 26 |
+
-1.630184531211853,
|
| 27 |
+
-0.6103515625
|
| 28 |
+
],
|
| 29 |
+
"distance_to_camera": 1.136806834241715,
|
| 30 |
+
"width": 0.772216796875,
|
| 31 |
+
"length": 1.181640625,
|
| 32 |
+
"height": 0.75390625
|
| 33 |
+
},
|
| 34 |
+
"red": {
|
| 35 |
+
"circle_color": "red",
|
| 36 |
+
"label": "table",
|
| 37 |
+
"id": "table_1",
|
| 38 |
+
"centroid": [
|
| 39 |
+
1.8292362689971924,
|
| 40 |
+
-0.9036316275596619,
|
| 41 |
+
-1.7508935332298279
|
| 42 |
+
],
|
| 43 |
+
"distance_to_camera": 1.776102875809561,
|
| 44 |
+
"width": 0.6789455413818359,
|
| 45 |
+
"length": 0.7812402844429016,
|
| 46 |
+
"height": 0.31852543354034424
|
| 47 |
+
},
|
| 48 |
+
"scene_id": "0197_txt_ff7739f27c9b",
|
| 49 |
+
"layout_path": null,
|
| 50 |
+
"image_path": "question_image_14.jpg"
|
| 51 |
+
}
|
0197_txt_ff7739f27c9b/tasks/000_closest_object/question_2.json
ADDED
|
@@ -0,0 +1,51 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"type": "closest_object",
|
| 3 |
+
"question": "Out of emoji pillow (blue point) and box (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. emoji pillow (blue point)",
|
| 6 |
+
"B. box (red point)"
|
| 7 |
+
],
|
| 8 |
+
"answer": "A",
|
| 9 |
+
"camera_name": "rand_014",
|
| 10 |
+
"camera_position": [
|
| 11 |
+
0.5032485221110964,
|
| 12 |
+
0.1875919588541744,
|
| 13 |
+
-0.5078111575477955
|
| 14 |
+
],
|
| 15 |
+
"camera_look_at": [
|
| 16 |
+
1.047028439299892,
|
| 17 |
+
-1.6397203102587001,
|
| 18 |
+
-0.5833663432449303
|
| 19 |
+
],
|
| 20 |
+
"blue": {
|
| 21 |
+
"circle_color": "blue",
|
| 22 |
+
"label": "emoji pillow",
|
| 23 |
+
"id": "emoji pillow_0",
|
| 24 |
+
"centroid": [
|
| 25 |
+
1.1583631038665771,
|
| 26 |
+
-1.087691307067871,
|
| 27 |
+
-0.839599609375
|
| 28 |
+
],
|
| 29 |
+
"distance_to_camera": 1.4715998438214617,
|
| 30 |
+
"width": 0.22072267532348633,
|
| 31 |
+
"length": 0.36574220657348633,
|
| 32 |
+
"height": 0.32958984375
|
| 33 |
+
},
|
| 34 |
+
"red": {
|
| 35 |
+
"circle_color": "red",
|
| 36 |
+
"label": "box",
|
| 37 |
+
"id": "box_1",
|
| 38 |
+
"centroid": [
|
| 39 |
+
-0.1739657074213028,
|
| 40 |
+
-2.689289093017578,
|
| 41 |
+
-0.9004199206829071
|
| 42 |
+
],
|
| 43 |
+
"distance_to_camera": 2.981477040024016,
|
| 44 |
+
"width": 0.3995996117591858,
|
| 45 |
+
"length": 0.350283145904541,
|
| 46 |
+
"height": 0.2830858826637268
|
| 47 |
+
},
|
| 48 |
+
"scene_id": "0197_txt_ff7739f27c9b",
|
| 49 |
+
"layout_path": null,
|
| 50 |
+
"image_path": "question_image_2.jpg"
|
| 51 |
+
}
|
0197_txt_ff7739f27c9b/tasks/000_closest_object/question_3.json
ADDED
|
@@ -0,0 +1,51 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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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": "closest_object",
|
| 3 |
+
"question": "Determine which object is closer to the camera: storage box (blue point) or table (red point). Calculate or judge based on the 3D center points of these objects. Choose from the given options.",
|
| 4 |
+
"choices": [
|
| 5 |
+
"A. storage box (blue point)",
|
| 6 |
+
"B. table (red point)"
|
| 7 |
+
],
|
| 8 |
+
"answer": "A",
|
| 9 |
+
"camera_name": "rand_018",
|
| 10 |
+
"camera_position": [
|
| 11 |
+
-0.4058077915333418,
|
| 12 |
+
-1.404306290926003,
|
| 13 |
+
-0.4753557064154652
|
| 14 |
+
],
|
| 15 |
+
"camera_look_at": [
|
| 16 |
+
1.024916678383503,
|
| 17 |
+
-1.6694026623223794,
|
| 18 |
+
-0.585732743048789
|
| 19 |
+
],
|
| 20 |
+
"blue": {
|
| 21 |
+
"circle_color": "blue",
|
| 22 |
+
"label": "storage box",
|
| 23 |
+
"id": "storage box_0",
|
| 24 |
+
"centroid": [
|
| 25 |
+
0.3772941529750824,
|
| 26 |
+
-1.7476775646209717,
|
| 27 |
+
-0.880126953125
|
| 28 |
+
],
|
| 29 |
+
"distance_to_camera": 0.94604030001611,
|
| 30 |
+
"width": 1.0411572456359863,
|
| 31 |
+
"length": 1.2589306831359863,
|
| 32 |
+
"height": 1.60791015625
|
| 33 |
+
},
|
| 34 |
+
"red": {
|
| 35 |
+
"circle_color": "red",
|
| 36 |
+
"label": "table",
|
| 37 |
+
"id": "table_0",
|
| 38 |
+
"centroid": [
|
| 39 |
+
0.9451064467430115,
|
| 40 |
+
-1.1746982336044312,
|
| 41 |
+
-1.2077441215515137
|
| 42 |
+
],
|
| 43 |
+
"distance_to_camera": 1.553731614465722,
|
| 44 |
+
"width": 1.11865234375,
|
| 45 |
+
"length": 1.67529296875,
|
| 46 |
+
"height": 0.49759769439697266
|
| 47 |
+
},
|
| 48 |
+
"scene_id": "0197_txt_ff7739f27c9b",
|
| 49 |
+
"layout_path": null,
|
| 50 |
+
"image_path": "question_image_3.jpg"
|
| 51 |
+
}
|
0197_txt_ff7739f27c9b/tasks/000_closest_object/question_4.json
ADDED
|
@@ -0,0 +1,51 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
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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": "closest_object",
|
| 3 |
+
"question": "Consider artwork (blue point) and box (red point). Which is located closer to the viewpoint? Calculate or judge based on the 3D center points of these objects. Select one.",
|
| 4 |
+
"choices": [
|
| 5 |
+
"A. artwork (blue point)",
|
| 6 |
+
"B. box (red point)"
|
| 7 |
+
],
|
| 8 |
+
"answer": "B",
|
| 9 |
+
"camera_name": "rand_003",
|
| 10 |
+
"camera_position": [
|
| 11 |
+
-0.1295043686861044,
|
| 12 |
+
-1.2293531390240975,
|
| 13 |
+
-0.39747959106301156
|
| 14 |
+
],
|
| 15 |
+
"camera_look_at": [
|
| 16 |
+
1.6224520966470253,
|
| 17 |
+
0.6282436715704631,
|
| 18 |
+
-1.2624960242084542
|
| 19 |
+
],
|
| 20 |
+
"blue": {
|
| 21 |
+
"circle_color": "blue",
|
| 22 |
+
"label": "artwork",
|
| 23 |
+
"id": "artwork_1",
|
| 24 |
+
"centroid": [
|
| 25 |
+
1.0056445598602295,
|
| 26 |
+
1.0987744331359863,
|
| 27 |
+
-0.8216333175078034
|
| 28 |
+
],
|
| 29 |
+
"distance_to_camera": 2.6246232998068315,
|
| 30 |
+
"width": 0.17891114950180054,
|
| 31 |
+
"length": 0.17203128337860107,
|
| 32 |
+
"height": 1.5958154629915953
|
| 33 |
+
},
|
| 34 |
+
"red": {
|
| 35 |
+
"circle_color": "red",
|
| 36 |
+
"label": "box",
|
| 37 |
+
"id": "box_0",
|
| 38 |
+
"centroid": [
|
| 39 |
+
1.528324007987976,
|
| 40 |
+
-0.8465446829795837,
|
| 41 |
+
-0.7480932474136353
|
| 42 |
+
],
|
| 43 |
+
"distance_to_camera": 1.737200960322252,
|
| 44 |
+
"width": 0.23486328125,
|
| 45 |
+
"length": 0.55908203125,
|
| 46 |
+
"height": 0.3988330364227295
|
| 47 |
+
},
|
| 48 |
+
"scene_id": "0197_txt_ff7739f27c9b",
|
| 49 |
+
"layout_path": null,
|
| 50 |
+
"image_path": "question_image_4.jpg"
|
| 51 |
+
}
|
0197_txt_ff7739f27c9b/tasks/000_closest_object/question_5.json
ADDED
|
@@ -0,0 +1,51 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"type": "closest_object",
|
| 3 |
+
"question": "Out of storage box (blue point) and table (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. storage box (blue point)",
|
| 6 |
+
"B. table (red point)"
|
| 7 |
+
],
|
| 8 |
+
"answer": "A",
|
| 9 |
+
"camera_name": "rand_048",
|
| 10 |
+
"camera_position": [
|
| 11 |
+
-0.6675893022198596,
|
| 12 |
+
-1.5835484876794272,
|
| 13 |
+
-0.41406721248156675
|
| 14 |
+
],
|
| 15 |
+
"camera_look_at": [
|
| 16 |
+
0.9721681879627235,
|
| 17 |
+
-1.7387567028268611,
|
| 18 |
+
-0.5877026019962375
|
| 19 |
+
],
|
| 20 |
+
"blue": {
|
| 21 |
+
"circle_color": "blue",
|
| 22 |
+
"label": "storage box",
|
| 23 |
+
"id": "storage box_0",
|
| 24 |
+
"centroid": [
|
| 25 |
+
0.3772941529750824,
|
| 26 |
+
-1.7476775646209717,
|
| 27 |
+
-0.880126953125
|
| 28 |
+
],
|
| 29 |
+
"distance_to_camera": 1.1558250173302307,
|
| 30 |
+
"width": 1.0411572456359863,
|
| 31 |
+
"length": 1.2589306831359863,
|
| 32 |
+
"height": 1.60791015625
|
| 33 |
+
},
|
| 34 |
+
"red": {
|
| 35 |
+
"circle_color": "red",
|
| 36 |
+
"label": "table",
|
| 37 |
+
"id": "table_0",
|
| 38 |
+
"centroid": [
|
| 39 |
+
0.9451064467430115,
|
| 40 |
+
-1.1746982336044312,
|
| 41 |
+
-1.2077441215515137
|
| 42 |
+
],
|
| 43 |
+
"distance_to_camera": 1.843330991702502,
|
| 44 |
+
"width": 1.11865234375,
|
| 45 |
+
"length": 1.67529296875,
|
| 46 |
+
"height": 0.49759769439697266
|
| 47 |
+
},
|
| 48 |
+
"scene_id": "0197_txt_ff7739f27c9b",
|
| 49 |
+
"layout_path": null,
|
| 50 |
+
"image_path": "question_image_5.jpg"
|
| 51 |
+
}
|
0197_txt_ff7739f27c9b/tasks/000_closest_object/question_6.json
ADDED
|
@@ -0,0 +1,51 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"type": "closest_object",
|
| 3 |
+
"question": "Consider box (blue point) and tripod (red point). Which is located closer to the viewpoint? Calculate or judge based on the 3D center points of these objects. Select one.",
|
| 4 |
+
"choices": [
|
| 5 |
+
"A. box (blue point)",
|
| 6 |
+
"B. tripod (red point)"
|
| 7 |
+
],
|
| 8 |
+
"answer": "A",
|
| 9 |
+
"camera_name": "rand_011",
|
| 10 |
+
"camera_position": [
|
| 11 |
+
-0.13772515777443878,
|
| 12 |
+
-1.3548982194514796,
|
| 13 |
+
-0.987836985333578
|
| 14 |
+
],
|
| 15 |
+
"camera_look_at": [
|
| 16 |
+
1.5212404839317077,
|
| 17 |
+
0.787848643255149,
|
| 18 |
+
-1.2858272008496259
|
| 19 |
+
],
|
| 20 |
+
"blue": {
|
| 21 |
+
"circle_color": "blue",
|
| 22 |
+
"label": "box",
|
| 23 |
+
"id": "box_0",
|
| 24 |
+
"centroid": [
|
| 25 |
+
1.528324007987976,
|
| 26 |
+
-0.8465446829795837,
|
| 27 |
+
-0.7480932474136353
|
| 28 |
+
],
|
| 29 |
+
"distance_to_camera": 1.7583003727045468,
|
| 30 |
+
"width": 0.23486328125,
|
| 31 |
+
"length": 0.55908203125,
|
| 32 |
+
"height": 0.3988330364227295
|
| 33 |
+
},
|
| 34 |
+
"red": {
|
| 35 |
+
"circle_color": "red",
|
| 36 |
+
"label": "tripod",
|
| 37 |
+
"id": "tripod_0",
|
| 38 |
+
"centroid": [
|
| 39 |
+
0.9877436757087708,
|
| 40 |
+
1.116387963294983,
|
| 41 |
+
-1.060361385345459
|
| 42 |
+
],
|
| 43 |
+
"distance_to_camera": 2.716467426782939,
|
| 44 |
+
"width": 0.5988428592681885,
|
| 45 |
+
"length": 0.5350635051727295,
|
| 46 |
+
"height": 1.096308708190918
|
| 47 |
+
},
|
| 48 |
+
"scene_id": "0197_txt_ff7739f27c9b",
|
| 49 |
+
"layout_path": null,
|
| 50 |
+
"image_path": "question_image_6.jpg"
|
| 51 |
+
}
|
0197_txt_ff7739f27c9b/tasks/000_closest_object/question_7.json
ADDED
|
@@ -0,0 +1,51 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"type": "closest_object",
|
| 3 |
+
"question": "Out of artwork (blue point) and tripod (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. artwork (blue point)",
|
| 6 |
+
"B. tripod (red point)"
|
| 7 |
+
],
|
| 8 |
+
"answer": "A",
|
| 9 |
+
"camera_name": "rand_047",
|
| 10 |
+
"camera_position": [
|
| 11 |
+
-1.3358611416168138,
|
| 12 |
+
-1.9155602498965105,
|
| 13 |
+
-0.2812141592808364
|
| 14 |
+
],
|
| 15 |
+
"camera_look_at": [
|
| 16 |
+
1.7687867945283458,
|
| 17 |
+
-0.44582207877653746,
|
| 18 |
+
-1.2731832499938256
|
| 19 |
+
],
|
| 20 |
+
"blue": {
|
| 21 |
+
"circle_color": "blue",
|
| 22 |
+
"label": "artwork",
|
| 23 |
+
"id": "artwork_0",
|
| 24 |
+
"centroid": [
|
| 25 |
+
1.0567504167556763,
|
| 26 |
+
-1.630184531211853,
|
| 27 |
+
-0.6103515625
|
| 28 |
+
],
|
| 29 |
+
"distance_to_camera": 2.4319458876114566,
|
| 30 |
+
"width": 0.772216796875,
|
| 31 |
+
"length": 1.181640625,
|
| 32 |
+
"height": 0.75390625
|
| 33 |
+
},
|
| 34 |
+
"red": {
|
| 35 |
+
"circle_color": "red",
|
| 36 |
+
"label": "tripod",
|
| 37 |
+
"id": "tripod_0",
|
| 38 |
+
"centroid": [
|
| 39 |
+
0.9877436757087708,
|
| 40 |
+
1.116387963294983,
|
| 41 |
+
-1.060361385345459
|
| 42 |
+
],
|
| 43 |
+
"distance_to_camera": 3.8985791917643473,
|
| 44 |
+
"width": 0.5988428592681885,
|
| 45 |
+
"length": 0.5350635051727295,
|
| 46 |
+
"height": 1.096308708190918
|
| 47 |
+
},
|
| 48 |
+
"scene_id": "0197_txt_ff7739f27c9b",
|
| 49 |
+
"layout_path": null,
|
| 50 |
+
"image_path": "question_image_7.jpg"
|
| 51 |
+
}
|
0197_txt_ff7739f27c9b/tasks/000_closest_object/question_8.json
ADDED
|
@@ -0,0 +1,51 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"type": "closest_object",
|
| 3 |
+
"question": "Consider box (blue point) and table (red point). Which is located closer to the viewpoint? Calculate or judge based on the 3D center points of these objects. Select one.",
|
| 4 |
+
"choices": [
|
| 5 |
+
"A. box (blue point)",
|
| 6 |
+
"B. table (red point)"
|
| 7 |
+
],
|
| 8 |
+
"answer": "A",
|
| 9 |
+
"camera_name": "rand_061",
|
| 10 |
+
"camera_position": [
|
| 11 |
+
0.6705096537442593,
|
| 12 |
+
-0.1739646258247705,
|
| 13 |
+
-0.42284230624403407
|
| 14 |
+
],
|
| 15 |
+
"camera_look_at": [
|
| 16 |
+
1.5726864505500462,
|
| 17 |
+
-0.6198336243313244,
|
| 18 |
+
-0.7966387625182834
|
| 19 |
+
],
|
| 20 |
+
"blue": {
|
| 21 |
+
"circle_color": "blue",
|
| 22 |
+
"label": "box",
|
| 23 |
+
"id": "box_0",
|
| 24 |
+
"centroid": [
|
| 25 |
+
1.528324007987976,
|
| 26 |
+
-0.8465446829795837,
|
| 27 |
+
-0.7480932474136353
|
| 28 |
+
],
|
| 29 |
+
"distance_to_camera": 1.1375401418678146,
|
| 30 |
+
"width": 0.23486328125,
|
| 31 |
+
"length": 0.55908203125,
|
| 32 |
+
"height": 0.3988330364227295
|
| 33 |
+
},
|
| 34 |
+
"red": {
|
| 35 |
+
"circle_color": "red",
|
| 36 |
+
"label": "table",
|
| 37 |
+
"id": "table_1",
|
| 38 |
+
"centroid": [
|
| 39 |
+
1.8292362689971924,
|
| 40 |
+
-0.9036316275596619,
|
| 41 |
+
-1.7508935332298279
|
| 42 |
+
],
|
| 43 |
+
"distance_to_camera": 1.9075590066403654,
|
| 44 |
+
"width": 0.6789455413818359,
|
| 45 |
+
"length": 0.7812402844429016,
|
| 46 |
+
"height": 0.31852543354034424
|
| 47 |
+
},
|
| 48 |
+
"scene_id": "0197_txt_ff7739f27c9b",
|
| 49 |
+
"layout_path": null,
|
| 50 |
+
"image_path": "question_image_8.jpg"
|
| 51 |
+
}
|
0197_txt_ff7739f27c9b/tasks/000_closest_object/question_9.json
ADDED
|
@@ -0,0 +1,51 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"type": "closest_object",
|
| 3 |
+
"question": "Identify which object has a smaller distance to the camera: artwork (blue point) or table (red point). Calculate or judge based on the 3D center points of these objects. Choose the right response.",
|
| 4 |
+
"choices": [
|
| 5 |
+
"A. artwork (blue point)",
|
| 6 |
+
"B. table (red point)"
|
| 7 |
+
],
|
| 8 |
+
"answer": "A",
|
| 9 |
+
"camera_name": "rand_004",
|
| 10 |
+
"camera_position": [
|
| 11 |
+
0.6295535558524348,
|
| 12 |
+
-0.5847170800578887,
|
| 13 |
+
-0.4806194192558535
|
| 14 |
+
],
|
| 15 |
+
"camera_look_at": [
|
| 16 |
+
1.1600396699059403,
|
| 17 |
+
-1.075029439100768,
|
| 18 |
+
-0.8459114526712734
|
| 19 |
+
],
|
| 20 |
+
"blue": {
|
| 21 |
+
"circle_color": "blue",
|
| 22 |
+
"label": "artwork",
|
| 23 |
+
"id": "artwork_0",
|
| 24 |
+
"centroid": [
|
| 25 |
+
1.0567504167556763,
|
| 26 |
+
-1.630184531211853,
|
| 27 |
+
-0.6103515625
|
| 28 |
+
],
|
| 29 |
+
"distance_to_camera": 1.136806834241715,
|
| 30 |
+
"width": 0.772216796875,
|
| 31 |
+
"length": 1.181640625,
|
| 32 |
+
"height": 0.75390625
|
| 33 |
+
},
|
| 34 |
+
"red": {
|
| 35 |
+
"circle_color": "red",
|
| 36 |
+
"label": "table",
|
| 37 |
+
"id": "table_1",
|
| 38 |
+
"centroid": [
|
| 39 |
+
1.8292362689971924,
|
| 40 |
+
-0.9036316275596619,
|
| 41 |
+
-1.7508935332298279
|
| 42 |
+
],
|
| 43 |
+
"distance_to_camera": 1.776102875809561,
|
| 44 |
+
"width": 0.6789455413818359,
|
| 45 |
+
"length": 0.7812402844429016,
|
| 46 |
+
"height": 0.31852543354034424
|
| 47 |
+
},
|
| 48 |
+
"scene_id": "0197_txt_ff7739f27c9b",
|
| 49 |
+
"layout_path": null,
|
| 50 |
+
"image_path": "question_image_9.jpg"
|
| 51 |
+
}
|
0197_txt_ff7739f27c9b/tasks/001_depth_estimation/question_0.json
ADDED
|
@@ -0,0 +1,32 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"type": "depth_estimation",
|
| 3 |
+
"question": "Determine the depth of the storage box (red point) in meters. Calculate or judge based on the 3D center points of these objects. Provide a single numerical answer.",
|
| 4 |
+
"answer": "1.72",
|
| 5 |
+
"camera_name": "rand_047",
|
| 6 |
+
"camera_position": [
|
| 7 |
+
-1.3358611416168138,
|
| 8 |
+
-1.9155602498965105,
|
| 9 |
+
-0.2812141592808364
|
| 10 |
+
],
|
| 11 |
+
"camera_look_at": [
|
| 12 |
+
1.7687867945283458,
|
| 13 |
+
-0.44582207877653746,
|
| 14 |
+
-1.2731832499938256
|
| 15 |
+
],
|
| 16 |
+
"object": {
|
| 17 |
+
"label": "storage box",
|
| 18 |
+
"id": "storage box_0",
|
| 19 |
+
"centroid": [
|
| 20 |
+
0.3772941529750824,
|
| 21 |
+
-1.7476775646209717,
|
| 22 |
+
-0.880126953125
|
| 23 |
+
],
|
| 24 |
+
"depth": 1.72,
|
| 25 |
+
"width": 1.0411572456359863,
|
| 26 |
+
"length": 1.2589306831359863,
|
| 27 |
+
"height": 1.60791015625
|
| 28 |
+
},
|
| 29 |
+
"scene_id": "0197_txt_ff7739f27c9b",
|
| 30 |
+
"layout_path": null,
|
| 31 |
+
"image_path": "question_image_0.jpg"
|
| 32 |
+
}
|
0197_txt_ff7739f27c9b/tasks/001_depth_estimation/question_1.json
ADDED
|
@@ -0,0 +1,32 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"type": "depth_estimation",
|
| 3 |
+
"question": "How deep is the box (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": "2.0",
|
| 5 |
+
"camera_name": "rand_034",
|
| 6 |
+
"camera_position": [
|
| 7 |
+
-0.11188113918543276,
|
| 8 |
+
-0.21639780421202884,
|
| 9 |
+
-0.38012039457782665
|
| 10 |
+
],
|
| 11 |
+
"camera_look_at": [
|
| 12 |
+
-2.1021991190126683,
|
| 13 |
+
-2.597137413534406,
|
| 14 |
+
-1.308204449665923
|
| 15 |
+
],
|
| 16 |
+
"object": {
|
| 17 |
+
"label": "box",
|
| 18 |
+
"id": "box_1",
|
| 19 |
+
"centroid": [
|
| 20 |
+
-0.1739657074213028,
|
| 21 |
+
-2.689289093017578,
|
| 22 |
+
-0.9004199206829071
|
| 23 |
+
],
|
| 24 |
+
"depth": 2.0,
|
| 25 |
+
"width": 0.3995996117591858,
|
| 26 |
+
"length": 0.350283145904541,
|
| 27 |
+
"height": 0.2830858826637268
|
| 28 |
+
},
|
| 29 |
+
"scene_id": "0197_txt_ff7739f27c9b",
|
| 30 |
+
"layout_path": null,
|
| 31 |
+
"image_path": "question_image_1.jpg"
|
| 32 |
+
}
|
0197_txt_ff7739f27c9b/tasks/001_depth_estimation/question_10.json
ADDED
|
@@ -0,0 +1,32 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"type": "depth_estimation",
|
| 3 |
+
"question": "Report the depth of the emoji pillow (red point) in meters. Calculate or judge based on the 3D center points of these objects. Provide only the numerical value.",
|
| 4 |
+
"answer": "0.92",
|
| 5 |
+
"camera_name": "rand_024",
|
| 6 |
+
"camera_position": [
|
| 7 |
+
0.2696569105129961,
|
| 8 |
+
-1.2143205364355267,
|
| 9 |
+
-0.574249696448077
|
| 10 |
+
],
|
| 11 |
+
"camera_look_at": [
|
| 12 |
+
1.5629165121036441,
|
| 13 |
+
-0.8620185128536337,
|
| 14 |
+
-0.785912385217533
|
| 15 |
+
],
|
| 16 |
+
"object": {
|
| 17 |
+
"label": "emoji pillow",
|
| 18 |
+
"id": "emoji pillow_0",
|
| 19 |
+
"centroid": [
|
| 20 |
+
1.1583631038665771,
|
| 21 |
+
-1.087691307067871,
|
| 22 |
+
-0.839599609375
|
| 23 |
+
],
|
| 24 |
+
"depth": 0.92,
|
| 25 |
+
"width": 0.22072267532348633,
|
| 26 |
+
"length": 0.36574220657348633,
|
| 27 |
+
"height": 0.32958984375
|
| 28 |
+
},
|
| 29 |
+
"scene_id": "0197_txt_ff7739f27c9b",
|
| 30 |
+
"layout_path": null,
|
| 31 |
+
"image_path": "question_image_10.jpg"
|
| 32 |
+
}
|
0197_txt_ff7739f27c9b/tasks/001_depth_estimation/question_11.json
ADDED
|
@@ -0,0 +1,32 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"type": "depth_estimation",
|
| 3 |
+
"question": "Estimate the depth in meters of the box (red point). Calculate or judge based on the 3D center points of these objects. Respond with only a number.",
|
| 4 |
+
"answer": "1.99",
|
| 5 |
+
"camera_name": "rand_042",
|
| 6 |
+
"camera_position": [
|
| 7 |
+
0.3799931106960822,
|
| 8 |
+
-0.39681172752032945,
|
| 9 |
+
-0.4119709382667067
|
| 10 |
+
],
|
| 11 |
+
"camera_look_at": [
|
| 12 |
+
-2.13275872610736,
|
| 13 |
+
-2.6030535727399617,
|
| 14 |
+
-1.2625040466806512
|
| 15 |
+
],
|
| 16 |
+
"object": {
|
| 17 |
+
"label": "box",
|
| 18 |
+
"id": "box_1",
|
| 19 |
+
"centroid": [
|
| 20 |
+
-0.1739657074213028,
|
| 21 |
+
-2.689289093017578,
|
| 22 |
+
-0.9004199206829071
|
| 23 |
+
],
|
| 24 |
+
"depth": 1.99,
|
| 25 |
+
"width": 0.3995996117591858,
|
| 26 |
+
"length": 0.350283145904541,
|
| 27 |
+
"height": 0.2830858826637268
|
| 28 |
+
},
|
| 29 |
+
"scene_id": "0197_txt_ff7739f27c9b",
|
| 30 |
+
"layout_path": null,
|
| 31 |
+
"image_path": "question_image_11.jpg"
|
| 32 |
+
}
|
0197_txt_ff7739f27c9b/tasks/001_depth_estimation/question_12.json
ADDED
|
@@ -0,0 +1,32 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"type": "depth_estimation",
|
| 3 |
+
"question": "Report the depth of the emoji pillow (red point) in meters. Calculate or judge based on the 3D center points of these objects. Provide only the numerical value.",
|
| 4 |
+
"answer": "0.97",
|
| 5 |
+
"camera_name": "rand_021",
|
| 6 |
+
"camera_position": [
|
| 7 |
+
0.3232170165899161,
|
| 8 |
+
-1.6642276496259947,
|
| 9 |
+
-0.4539265066665421
|
| 10 |
+
],
|
| 11 |
+
"camera_look_at": [
|
| 12 |
+
1.4910251287620535,
|
| 13 |
+
0.6397774712156323,
|
| 14 |
+
-1.2610625230814738
|
| 15 |
+
],
|
| 16 |
+
"object": {
|
| 17 |
+
"label": "emoji pillow",
|
| 18 |
+
"id": "emoji pillow_0",
|
| 19 |
+
"centroid": [
|
| 20 |
+
1.1583631038665771,
|
| 21 |
+
-1.087691307067871,
|
| 22 |
+
-0.839599609375
|
| 23 |
+
],
|
| 24 |
+
"depth": 0.97,
|
| 25 |
+
"width": 0.22072267532348633,
|
| 26 |
+
"length": 0.36574220657348633,
|
| 27 |
+
"height": 0.32958984375
|
| 28 |
+
},
|
| 29 |
+
"scene_id": "0197_txt_ff7739f27c9b",
|
| 30 |
+
"layout_path": null,
|
| 31 |
+
"image_path": "question_image_12.jpg"
|
| 32 |
+
}
|
0197_txt_ff7739f27c9b/tasks/001_depth_estimation/question_13.json
ADDED
|
@@ -0,0 +1,32 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"type": "depth_estimation",
|
| 3 |
+
"question": "Report the depth of the table (red point) in meters. Calculate or judge based on the 3D center points of these objects. Provide only the numerical value.",
|
| 4 |
+
"answer": "1.16",
|
| 5 |
+
"camera_name": "rand_036",
|
| 6 |
+
"camera_position": [
|
| 7 |
+
-0.040480857008387564,
|
| 8 |
+
-1.276258204752016,
|
| 9 |
+
-0.6027287242572081
|
| 10 |
+
],
|
| 11 |
+
"camera_look_at": [
|
| 12 |
+
0.9313787840393002,
|
| 13 |
+
-1.1742951977819591,
|
| 14 |
+
-1.2344552194287461
|
| 15 |
+
],
|
| 16 |
+
"object": {
|
| 17 |
+
"label": "table",
|
| 18 |
+
"id": "table_0",
|
| 19 |
+
"centroid": [
|
| 20 |
+
0.9451064467430115,
|
| 21 |
+
-1.1746982336044312,
|
| 22 |
+
-1.2077441215515137
|
| 23 |
+
],
|
| 24 |
+
"depth": 1.16,
|
| 25 |
+
"width": 1.11865234375,
|
| 26 |
+
"length": 1.67529296875,
|
| 27 |
+
"height": 0.49759769439697266
|
| 28 |
+
},
|
| 29 |
+
"scene_id": "0197_txt_ff7739f27c9b",
|
| 30 |
+
"layout_path": null,
|
| 31 |
+
"image_path": "question_image_13.jpg"
|
| 32 |
+
}
|
0197_txt_ff7739f27c9b/tasks/001_depth_estimation/question_14.json
ADDED
|
@@ -0,0 +1,32 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"type": "depth_estimation",
|
| 3 |
+
"question": "Measure the depth to the box (red point) in meters. Calculate or judge based on the 3D center points of these objects. Reply with a single number.",
|
| 4 |
+
"answer": "1.12",
|
| 5 |
+
"camera_name": "rand_060",
|
| 6 |
+
"camera_position": [
|
| 7 |
+
0.6389121661782448,
|
| 8 |
+
-1.474493384549389,
|
| 9 |
+
-0.35888990655149344
|
| 10 |
+
],
|
| 11 |
+
"camera_look_at": [
|
| 12 |
+
1.2083383792382199,
|
| 13 |
+
-1.1596251037468037,
|
| 14 |
+
-0.7659689757730508
|
| 15 |
+
],
|
| 16 |
+
"object": {
|
| 17 |
+
"label": "box",
|
| 18 |
+
"id": "box_0",
|
| 19 |
+
"centroid": [
|
| 20 |
+
1.528324007987976,
|
| 21 |
+
-0.8465446829795837,
|
| 22 |
+
-0.7480932474136353
|
| 23 |
+
],
|
| 24 |
+
"depth": 1.12,
|
| 25 |
+
"width": 0.23486328125,
|
| 26 |
+
"length": 0.55908203125,
|
| 27 |
+
"height": 0.3988330364227295
|
| 28 |
+
},
|
| 29 |
+
"scene_id": "0197_txt_ff7739f27c9b",
|
| 30 |
+
"layout_path": null,
|
| 31 |
+
"image_path": "question_image_14.jpg"
|
| 32 |
+
}
|
0197_txt_ff7739f27c9b/tasks/001_depth_estimation/question_15.json
ADDED
|
@@ -0,0 +1,32 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"type": "depth_estimation",
|
| 3 |
+
"question": "How far along the depth axis is the box (red point) from the camera? Calculate or judge based on the 3D center points of these objects. Answer in meters only.",
|
| 4 |
+
"answer": "1.35",
|
| 5 |
+
"camera_name": "rand_010",
|
| 6 |
+
"camera_position": [
|
| 7 |
+
0.2210245147582709,
|
| 8 |
+
-1.5134512751175118,
|
| 9 |
+
-0.25397520379357985
|
| 10 |
+
],
|
| 11 |
+
"camera_look_at": [
|
| 12 |
+
0.9671389537585431,
|
| 13 |
+
-1.0997732636467359,
|
| 14 |
+
-1.1957445032860061
|
| 15 |
+
],
|
| 16 |
+
"object": {
|
| 17 |
+
"label": "box",
|
| 18 |
+
"id": "box_0",
|
| 19 |
+
"centroid": [
|
| 20 |
+
1.528324007987976,
|
| 21 |
+
-0.8465446829795837,
|
| 22 |
+
-0.7480932474136353
|
| 23 |
+
],
|
| 24 |
+
"depth": 1.35,
|
| 25 |
+
"width": 0.23486328125,
|
| 26 |
+
"length": 0.55908203125,
|
| 27 |
+
"height": 0.3988330364227295
|
| 28 |
+
},
|
| 29 |
+
"scene_id": "0197_txt_ff7739f27c9b",
|
| 30 |
+
"layout_path": null,
|
| 31 |
+
"image_path": "question_image_15.jpg"
|
| 32 |
+
}
|
0197_txt_ff7739f27c9b/tasks/001_depth_estimation/question_16.json
ADDED
|
@@ -0,0 +1,32 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"type": "depth_estimation",
|
| 3 |
+
"question": "Estimate the depth in meters of the figurine (red point). Calculate or judge based on the 3D center points of these objects. Respond with only a number.",
|
| 4 |
+
"answer": "0.89",
|
| 5 |
+
"camera_name": "rand_028",
|
| 6 |
+
"camera_position": [
|
| 7 |
+
-0.13853214345796233,
|
| 8 |
+
-1.5899357989192366,
|
| 9 |
+
-0.5550604131721402
|
| 10 |
+
],
|
| 11 |
+
"camera_look_at": [
|
| 12 |
+
0.6338945800066095,
|
| 13 |
+
-1.6601836477268577,
|
| 14 |
+
-0.894460980590072
|
| 15 |
+
],
|
| 16 |
+
"object": {
|
| 17 |
+
"label": "figurine",
|
| 18 |
+
"id": "figurine_0",
|
| 19 |
+
"centroid": [
|
| 20 |
+
0.6880354881286621,
|
| 21 |
+
-1.5964938402175903,
|
| 22 |
+
-0.89697265625
|
| 23 |
+
],
|
| 24 |
+
"depth": 0.89,
|
| 25 |
+
"width": 0.18843752145767212,
|
| 26 |
+
"length": 0.34810543060302734,
|
| 27 |
+
"height": 0.20849609375
|
| 28 |
+
},
|
| 29 |
+
"scene_id": "0197_txt_ff7739f27c9b",
|
| 30 |
+
"layout_path": null,
|
| 31 |
+
"image_path": "question_image_16.jpg"
|
| 32 |
+
}
|
0197_txt_ff7739f27c9b/tasks/001_depth_estimation/question_17.json
ADDED
|
@@ -0,0 +1,32 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"type": "depth_estimation",
|
| 3 |
+
"question": "Report the depth of the figurine (red point) in meters. Calculate or judge based on the 3D center points of these objects. Provide only the numerical value.",
|
| 4 |
+
"answer": "1.43",
|
| 5 |
+
"camera_name": "rand_016",
|
| 6 |
+
"camera_position": [
|
| 7 |
+
-0.6006560103571863,
|
| 8 |
+
-1.1621993840738503,
|
| 9 |
+
-0.3434181125481248
|
| 10 |
+
],
|
| 11 |
+
"camera_look_at": [
|
| 12 |
+
0.9997812930281804,
|
| 13 |
+
-1.6025415368820626,
|
| 14 |
+
-0.6184997988778002
|
| 15 |
+
],
|
| 16 |
+
"object": {
|
| 17 |
+
"label": "figurine",
|
| 18 |
+
"id": "figurine_0",
|
| 19 |
+
"centroid": [
|
| 20 |
+
0.6880354881286621,
|
| 21 |
+
-1.5964938402175903,
|
| 22 |
+
-0.89697265625
|
| 23 |
+
],
|
| 24 |
+
"depth": 1.43,
|
| 25 |
+
"width": 0.18843752145767212,
|
| 26 |
+
"length": 0.34810543060302734,
|
| 27 |
+
"height": 0.20849609375
|
| 28 |
+
},
|
| 29 |
+
"scene_id": "0197_txt_ff7739f27c9b",
|
| 30 |
+
"layout_path": null,
|
| 31 |
+
"image_path": "question_image_17.jpg"
|
| 32 |
+
}
|
0197_txt_ff7739f27c9b/tasks/001_depth_estimation/question_18.json
ADDED
|
@@ -0,0 +1,32 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"type": "depth_estimation",
|
| 3 |
+
"question": "Calculate the depth of the artwork (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": "1.48",
|
| 5 |
+
"camera_name": "rand_033",
|
| 6 |
+
"camera_position": [
|
| 7 |
+
-0.6343904480476812,
|
| 8 |
+
-0.8993465749018635,
|
| 9 |
+
-0.542076709372572
|
| 10 |
+
],
|
| 11 |
+
"camera_look_at": [
|
| 12 |
+
1.7150087225514619,
|
| 13 |
+
-0.4723120981616493,
|
| 14 |
+
-1.3038602194276232
|
| 15 |
+
],
|
| 16 |
+
"object": {
|
| 17 |
+
"label": "artwork",
|
| 18 |
+
"id": "artwork_0",
|
| 19 |
+
"centroid": [
|
| 20 |
+
1.0567504167556763,
|
| 21 |
+
-1.630184531211853,
|
| 22 |
+
-0.6103515625
|
| 23 |
+
],
|
| 24 |
+
"depth": 1.48,
|
| 25 |
+
"width": 0.772216796875,
|
| 26 |
+
"length": 1.181640625,
|
| 27 |
+
"height": 0.75390625
|
| 28 |
+
},
|
| 29 |
+
"scene_id": "0197_txt_ff7739f27c9b",
|
| 30 |
+
"layout_path": null,
|
| 31 |
+
"image_path": "question_image_18.jpg"
|
| 32 |
+
}
|
0197_txt_ff7739f27c9b/tasks/001_depth_estimation/question_19.json
ADDED
|
@@ -0,0 +1,32 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"type": "depth_estimation",
|
| 3 |
+
"question": "How deep is the tripod (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": "2.83",
|
| 5 |
+
"camera_name": "rand_021",
|
| 6 |
+
"camera_position": [
|
| 7 |
+
0.3232170165899161,
|
| 8 |
+
-1.6642276496259947,
|
| 9 |
+
-0.4539265066665421
|
| 10 |
+
],
|
| 11 |
+
"camera_look_at": [
|
| 12 |
+
1.4910251287620535,
|
| 13 |
+
0.6397774712156323,
|
| 14 |
+
-1.2610625230814738
|
| 15 |
+
],
|
| 16 |
+
"object": {
|
| 17 |
+
"label": "tripod",
|
| 18 |
+
"id": "tripod_0",
|
| 19 |
+
"centroid": [
|
| 20 |
+
0.9877436757087708,
|
| 21 |
+
1.116387963294983,
|
| 22 |
+
-1.060361385345459
|
| 23 |
+
],
|
| 24 |
+
"depth": 2.83,
|
| 25 |
+
"width": 0.5988428592681885,
|
| 26 |
+
"length": 0.5350635051727295,
|
| 27 |
+
"height": 1.096308708190918
|
| 28 |
+
},
|
| 29 |
+
"scene_id": "0197_txt_ff7739f27c9b",
|
| 30 |
+
"layout_path": null,
|
| 31 |
+
"image_path": "question_image_19.jpg"
|
| 32 |
+
}
|
0197_txt_ff7739f27c9b/tasks/001_depth_estimation/question_2.json
ADDED
|
@@ -0,0 +1,32 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"type": "depth_estimation",
|
| 3 |
+
"question": "How far along the depth axis is the power cord (red point) from the camera? Calculate or judge based on the 3D center points of these objects. Answer in meters only.",
|
| 4 |
+
"answer": "1.5",
|
| 5 |
+
"camera_name": "rand_052",
|
| 6 |
+
"camera_position": [
|
| 7 |
+
-1.3093491430502815,
|
| 8 |
+
-1.4353198632794246,
|
| 9 |
+
-0.631371171776236
|
| 10 |
+
],
|
| 11 |
+
"camera_look_at": [
|
| 12 |
+
-2.153106796441215,
|
| 13 |
+
-1.725605352572033,
|
| 14 |
+
-1.637251783502907
|
| 15 |
+
],
|
| 16 |
+
"object": {
|
| 17 |
+
"label": "power cord",
|
| 18 |
+
"id": "power cord_0",
|
| 19 |
+
"centroid": [
|
| 20 |
+
-2.1600277423858643,
|
| 21 |
+
-2.3612005710601807,
|
| 22 |
+
-1.6499804854393005
|
| 23 |
+
],
|
| 24 |
+
"depth": 1.5,
|
| 25 |
+
"width": 0.40007829666137695,
|
| 26 |
+
"length": 0.44030284881591797,
|
| 27 |
+
"height": 0.6747363805770874
|
| 28 |
+
},
|
| 29 |
+
"scene_id": "0197_txt_ff7739f27c9b",
|
| 30 |
+
"layout_path": null,
|
| 31 |
+
"image_path": "question_image_2.jpg"
|
| 32 |
+
}
|
0197_txt_ff7739f27c9b/tasks/001_depth_estimation/question_20.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": "1.99",
|
| 5 |
+
"camera_name": "rand_009",
|
| 6 |
+
"camera_position": [
|
| 7 |
+
0.06627598077884148,
|
| 8 |
+
-0.565702109671371,
|
| 9 |
+
-0.5849220085167497
|
| 10 |
+
],
|
| 11 |
+
"camera_look_at": [
|
| 12 |
+
1.0527462084980377,
|
| 13 |
+
-1.2524314740979055,
|
| 14 |
+
-1.2155681894952404
|
| 15 |
+
],
|
| 16 |
+
"object": {
|
| 17 |
+
"label": "table",
|
| 18 |
+
"id": "table_1",
|
| 19 |
+
"centroid": [
|
| 20 |
+
1.8292362689971924,
|
| 21 |
+
-0.9036316275596619,
|
| 22 |
+
-1.7508935332298279
|
| 23 |
+
],
|
| 24 |
+
"depth": 1.99,
|
| 25 |
+
"width": 0.6789455413818359,
|
| 26 |
+
"length": 0.7812402844429016,
|
| 27 |
+
"height": 0.31852543354034424
|
| 28 |
+
},
|
| 29 |
+
"scene_id": "0197_txt_ff7739f27c9b",
|
| 30 |
+
"layout_path": null,
|
| 31 |
+
"image_path": "question_image_20.jpg"
|
| 32 |
+
}
|
0197_txt_ff7739f27c9b/tasks/001_depth_estimation/question_21.json
ADDED
|
@@ -0,0 +1,32 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"type": "depth_estimation",
|
| 3 |
+
"question": "How far along the depth axis is the tripod (red point) from the camera? Calculate or judge based on the 3D center points of these objects. Answer in meters only.",
|
| 4 |
+
"answer": "1.35",
|
| 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": "tripod",
|
| 18 |
+
"id": "tripod_0",
|
| 19 |
+
"centroid": [
|
| 20 |
+
0.9877436757087708,
|
| 21 |
+
1.116387963294983,
|
| 22 |
+
-1.060361385345459
|
| 23 |
+
],
|
| 24 |
+
"depth": 1.35,
|
| 25 |
+
"width": 0.5988428592681885,
|
| 26 |
+
"length": 0.5350635051727295,
|
| 27 |
+
"height": 1.096308708190918
|
| 28 |
+
},
|
| 29 |
+
"scene_id": "0197_txt_ff7739f27c9b",
|
| 30 |
+
"layout_path": null,
|
| 31 |
+
"image_path": "question_image_21.jpg"
|
| 32 |
+
}
|
0197_txt_ff7739f27c9b/tasks/001_depth_estimation/question_22.json
ADDED
|
@@ -0,0 +1,32 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"type": "depth_estimation",
|
| 3 |
+
"question": "Calculate the depth of the power cord (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": "1.27",
|
| 5 |
+
"camera_name": "rand_022",
|
| 6 |
+
"camera_position": [
|
| 7 |
+
-1.1763874419447107,
|
| 8 |
+
-1.7129366761333005,
|
| 9 |
+
-0.7981281572091361
|
| 10 |
+
],
|
| 11 |
+
"camera_look_at": [
|
| 12 |
+
-2.0935728266794498,
|
| 13 |
+
-1.6726218222395834,
|
| 14 |
+
-1.776232532161679
|
| 15 |
+
],
|
| 16 |
+
"object": {
|
| 17 |
+
"label": "power cord",
|
| 18 |
+
"id": "power cord_0",
|
| 19 |
+
"centroid": [
|
| 20 |
+
-2.1600277423858643,
|
| 21 |
+
-2.3612005710601807,
|
| 22 |
+
-1.6499804854393005
|
| 23 |
+
],
|
| 24 |
+
"depth": 1.27,
|
| 25 |
+
"width": 0.40007829666137695,
|
| 26 |
+
"length": 0.44030284881591797,
|
| 27 |
+
"height": 0.6747363805770874
|
| 28 |
+
},
|
| 29 |
+
"scene_id": "0197_txt_ff7739f27c9b",
|
| 30 |
+
"layout_path": null,
|
| 31 |
+
"image_path": "question_image_22.jpg"
|
| 32 |
+
}
|
0197_txt_ff7739f27c9b/tasks/001_depth_estimation/question_23.json
ADDED
|
@@ -0,0 +1,32 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"type": "depth_estimation",
|
| 3 |
+
"question": "Measure the depth to the table (red point) in meters. Calculate or judge based on the 3D center points of these objects. Reply with a single number.",
|
| 4 |
+
"answer": "1.99",
|
| 5 |
+
"camera_name": "rand_009",
|
| 6 |
+
"camera_position": [
|
| 7 |
+
0.06627598077884148,
|
| 8 |
+
-0.565702109671371,
|
| 9 |
+
-0.5849220085167497
|
| 10 |
+
],
|
| 11 |
+
"camera_look_at": [
|
| 12 |
+
1.0527462084980377,
|
| 13 |
+
-1.2524314740979055,
|
| 14 |
+
-1.2155681894952404
|
| 15 |
+
],
|
| 16 |
+
"object": {
|
| 17 |
+
"label": "table",
|
| 18 |
+
"id": "table_1",
|
| 19 |
+
"centroid": [
|
| 20 |
+
1.8292362689971924,
|
| 21 |
+
-0.9036316275596619,
|
| 22 |
+
-1.7508935332298279
|
| 23 |
+
],
|
| 24 |
+
"depth": 1.99,
|
| 25 |
+
"width": 0.6789455413818359,
|
| 26 |
+
"length": 0.7812402844429016,
|
| 27 |
+
"height": 0.31852543354034424
|
| 28 |
+
},
|
| 29 |
+
"scene_id": "0197_txt_ff7739f27c9b",
|
| 30 |
+
"layout_path": null,
|
| 31 |
+
"image_path": "question_image_23.jpg"
|
| 32 |
+
}
|
0197_txt_ff7739f27c9b/tasks/001_depth_estimation/question_24.json
ADDED
|
@@ -0,0 +1,32 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"type": "depth_estimation",
|
| 3 |
+
"question": "What is the depth of the artwork (red point)? Calculate or judge based on the 3D center points of these objects. The unit is meter. Answer using a single number and nothing else.",
|
| 4 |
+
"answer": "1.62",
|
| 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": "artwork",
|
| 18 |
+
"id": "artwork_1",
|
| 19 |
+
"centroid": [
|
| 20 |
+
1.0056445598602295,
|
| 21 |
+
1.0987744331359863,
|
| 22 |
+
-0.8216333175078034
|
| 23 |
+
],
|
| 24 |
+
"depth": 1.62,
|
| 25 |
+
"width": 0.17891114950180054,
|
| 26 |
+
"length": 0.17203128337860107,
|
| 27 |
+
"height": 1.5958154629915953
|
| 28 |
+
},
|
| 29 |
+
"scene_id": "0197_txt_ff7739f27c9b",
|
| 30 |
+
"layout_path": null,
|
| 31 |
+
"image_path": "question_image_24.jpg"
|
| 32 |
+
}
|
0197_txt_ff7739f27c9b/tasks/001_depth_estimation/question_25.json
ADDED
|
@@ -0,0 +1,32 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"type": "depth_estimation",
|
| 3 |
+
"question": "Estimate the depth in meters of the electrical outlet (red point). Calculate or judge based on the 3D center points of these objects. Respond with only a number.",
|
| 4 |
+
"answer": "1.18",
|
| 5 |
+
"camera_name": "rand_051",
|
| 6 |
+
"camera_position": [
|
| 7 |
+
-1.192690512708142,
|
| 8 |
+
-2.105186238733687,
|
| 9 |
+
-0.23737322356966417
|
| 10 |
+
],
|
| 11 |
+
"camera_look_at": [
|
| 12 |
+
-1.9929967497052414,
|
| 13 |
+
-1.6375770518540662,
|
| 14 |
+
-1.2193916585020235
|
| 15 |
+
],
|
| 16 |
+
"object": {
|
| 17 |
+
"label": "electrical outlet",
|
| 18 |
+
"id": "electrical outlet_0",
|
| 19 |
+
"centroid": [
|
| 20 |
+
-2.1161365509033203,
|
| 21 |
+
-2.499974489212036,
|
| 22 |
+
-1.2893603444099426
|
| 23 |
+
],
|
| 24 |
+
"depth": 1.18,
|
| 25 |
+
"width": 0.1097266674041748,
|
| 26 |
+
"length": 0.11859393119812012,
|
| 27 |
+
"height": 0.23106443881988525
|
| 28 |
+
},
|
| 29 |
+
"scene_id": "0197_txt_ff7739f27c9b",
|
| 30 |
+
"layout_path": null,
|
| 31 |
+
"image_path": "question_image_25.jpg"
|
| 32 |
+
}
|
0197_txt_ff7739f27c9b/tasks/001_depth_estimation/question_26.json
ADDED
|
@@ -0,0 +1,32 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"type": "depth_estimation",
|
| 3 |
+
"question": "What is the depth of the electrical outlet (red point)? Calculate or judge based on the 3D center points of these objects. The unit is meter. Answer using a single number and nothing else.",
|
| 4 |
+
"answer": "1.59",
|
| 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": "electrical outlet",
|
| 18 |
+
"id": "electrical outlet_1",
|
| 19 |
+
"centroid": [
|
| 20 |
+
1.5184171199798584,
|
| 21 |
+
0.6296015381813049,
|
| 22 |
+
-1.2684326171875
|
| 23 |
+
],
|
| 24 |
+
"depth": 1.59,
|
| 25 |
+
"width": 0.12666988372802734,
|
| 26 |
+
"length": 0.09033203125,
|
| 27 |
+
"height": 0.2291698455810547
|
| 28 |
+
},
|
| 29 |
+
"scene_id": "0197_txt_ff7739f27c9b",
|
| 30 |
+
"layout_path": null,
|
| 31 |
+
"image_path": "question_image_26.jpg"
|
| 32 |
+
}
|
0197_txt_ff7739f27c9b/tasks/001_depth_estimation/question_27.json
ADDED
|
@@ -0,0 +1,32 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"type": "depth_estimation",
|
| 3 |
+
"question": "Estimate the depth in meters of the electrical outlet (red point). Calculate or judge based on the 3D center points of these objects. Respond with only a number.",
|
| 4 |
+
"answer": "1.04",
|
| 5 |
+
"camera_name": "rand_031",
|
| 6 |
+
"camera_position": [
|
| 7 |
+
-1.5397294197690958,
|
| 8 |
+
-1.8355256138223215,
|
| 9 |
+
-0.6680696070623235
|
| 10 |
+
],
|
| 11 |
+
"camera_look_at": [
|
| 12 |
+
-2.174863053724382,
|
| 13 |
+
-2.4170999900393317,
|
| 14 |
+
-1.6386121959005442
|
| 15 |
+
],
|
| 16 |
+
"object": {
|
| 17 |
+
"label": "electrical outlet",
|
| 18 |
+
"id": "electrical outlet_0",
|
| 19 |
+
"centroid": [
|
| 20 |
+
-2.1161365509033203,
|
| 21 |
+
-2.499974489212036,
|
| 22 |
+
-1.2893603444099426
|
| 23 |
+
],
|
| 24 |
+
"depth": 1.04,
|
| 25 |
+
"width": 0.1097266674041748,
|
| 26 |
+
"length": 0.11859393119812012,
|
| 27 |
+
"height": 0.23106443881988525
|
| 28 |
+
},
|
| 29 |
+
"scene_id": "0197_txt_ff7739f27c9b",
|
| 30 |
+
"layout_path": null,
|
| 31 |
+
"image_path": "question_image_27.jpg"
|
| 32 |
+
}
|
0197_txt_ff7739f27c9b/tasks/001_depth_estimation/question_3.json
ADDED
|
@@ -0,0 +1,32 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"type": "depth_estimation",
|
| 3 |
+
"question": "Determine the depth of the window (red point) in meters. Calculate or judge based on the 3D center points of these objects. Provide a single numerical answer.",
|
| 4 |
+
"answer": "1.09",
|
| 5 |
+
"camera_name": "view_008",
|
| 6 |
+
"camera_position": [
|
| 7 |
+
-0.0,
|
| 8 |
+
-0.0,
|
| 9 |
+
0.0
|
| 10 |
+
],
|
| 11 |
+
"camera_look_at": [
|
| 12 |
+
-8.36516284942627,
|
| 13 |
+
4.829628944396973,
|
| 14 |
+
-2.5881905555725098
|
| 15 |
+
],
|
| 16 |
+
"object": {
|
| 17 |
+
"label": "window",
|
| 18 |
+
"id": "window_0",
|
| 19 |
+
"centroid": [
|
| 20 |
+
-1.2123476266860962,
|
| 21 |
+
0.14074276387691498,
|
| 22 |
+
-0.034423828125
|
| 23 |
+
],
|
| 24 |
+
"depth": 1.09,
|
| 25 |
+
"width": 1.63818359375,
|
| 26 |
+
"length": 1.660888671875,
|
| 27 |
+
"height": 1.10205078125
|
| 28 |
+
},
|
| 29 |
+
"scene_id": "0197_txt_ff7739f27c9b",
|
| 30 |
+
"layout_path": null,
|
| 31 |
+
"image_path": "question_image_3.jpg"
|
| 32 |
+
}
|
0197_txt_ff7739f27c9b/tasks/001_depth_estimation/question_4.json
ADDED
|
@@ -0,0 +1,32 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"type": "depth_estimation",
|
| 3 |
+
"question": "Calculate the depth of the artwork (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": "1.27",
|
| 5 |
+
"camera_name": "rand_009",
|
| 6 |
+
"camera_position": [
|
| 7 |
+
0.06627598077884148,
|
| 8 |
+
-0.565702109671371,
|
| 9 |
+
-0.5849220085167497
|
| 10 |
+
],
|
| 11 |
+
"camera_look_at": [
|
| 12 |
+
1.0527462084980377,
|
| 13 |
+
-1.2524314740979055,
|
| 14 |
+
-1.2155681894952404
|
| 15 |
+
],
|
| 16 |
+
"object": {
|
| 17 |
+
"label": "artwork",
|
| 18 |
+
"id": "artwork_0",
|
| 19 |
+
"centroid": [
|
| 20 |
+
1.0567504167556763,
|
| 21 |
+
-1.630184531211853,
|
| 22 |
+
-0.6103515625
|
| 23 |
+
],
|
| 24 |
+
"depth": 1.27,
|
| 25 |
+
"width": 0.772216796875,
|
| 26 |
+
"length": 1.181640625,
|
| 27 |
+
"height": 0.75390625
|
| 28 |
+
},
|
| 29 |
+
"scene_id": "0197_txt_ff7739f27c9b",
|
| 30 |
+
"layout_path": null,
|
| 31 |
+
"image_path": "question_image_4.jpg"
|
| 32 |
+
}
|
0197_txt_ff7739f27c9b/tasks/001_depth_estimation/question_5.json
ADDED
|
@@ -0,0 +1,32 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"type": "depth_estimation",
|
| 3 |
+
"question": "What is the depth of the storage box (red point)? Calculate or judge based on the 3D center points of these objects. The unit is meter. Answer using a single number and nothing else.",
|
| 4 |
+
"answer": "0.86",
|
| 5 |
+
"camera_name": "rand_018",
|
| 6 |
+
"camera_position": [
|
| 7 |
+
-0.4058077915333418,
|
| 8 |
+
-1.404306290926003,
|
| 9 |
+
-0.4753557064154652
|
| 10 |
+
],
|
| 11 |
+
"camera_look_at": [
|
| 12 |
+
1.024916678383503,
|
| 13 |
+
-1.6694026623223794,
|
| 14 |
+
-0.585732743048789
|
| 15 |
+
],
|
| 16 |
+
"object": {
|
| 17 |
+
"label": "storage box",
|
| 18 |
+
"id": "storage box_0",
|
| 19 |
+
"centroid": [
|
| 20 |
+
0.3772941529750824,
|
| 21 |
+
-1.7476775646209717,
|
| 22 |
+
-0.880126953125
|
| 23 |
+
],
|
| 24 |
+
"depth": 0.86,
|
| 25 |
+
"width": 1.0411572456359863,
|
| 26 |
+
"length": 1.2589306831359863,
|
| 27 |
+
"height": 1.60791015625
|
| 28 |
+
},
|
| 29 |
+
"scene_id": "0197_txt_ff7739f27c9b",
|
| 30 |
+
"layout_path": null,
|
| 31 |
+
"image_path": "question_image_5.jpg"
|
| 32 |
+
}
|
0197_txt_ff7739f27c9b/tasks/001_depth_estimation/question_6.json
ADDED
|
@@ -0,0 +1,32 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"type": "depth_estimation",
|
| 3 |
+
"question": "How far along the depth axis is the table (red point) from the camera? Calculate or judge based on the 3D center points of these objects. Answer in meters only.",
|
| 4 |
+
"answer": "1.64",
|
| 5 |
+
"camera_name": "rand_033",
|
| 6 |
+
"camera_position": [
|
| 7 |
+
-0.6343904480476812,
|
| 8 |
+
-0.8993465749018635,
|
| 9 |
+
-0.542076709372572
|
| 10 |
+
],
|
| 11 |
+
"camera_look_at": [
|
| 12 |
+
1.7150087225514619,
|
| 13 |
+
-0.4723120981616493,
|
| 14 |
+
-1.3038602194276232
|
| 15 |
+
],
|
| 16 |
+
"object": {
|
| 17 |
+
"label": "table",
|
| 18 |
+
"id": "table_0",
|
| 19 |
+
"centroid": [
|
| 20 |
+
0.9451064467430115,
|
| 21 |
+
-1.1746982336044312,
|
| 22 |
+
-1.2077441215515137
|
| 23 |
+
],
|
| 24 |
+
"depth": 1.64,
|
| 25 |
+
"width": 1.11865234375,
|
| 26 |
+
"length": 1.67529296875,
|
| 27 |
+
"height": 0.49759769439697266
|
| 28 |
+
},
|
| 29 |
+
"scene_id": "0197_txt_ff7739f27c9b",
|
| 30 |
+
"layout_path": null,
|
| 31 |
+
"image_path": "question_image_6.jpg"
|
| 32 |
+
}
|
0197_txt_ff7739f27c9b/tasks/001_depth_estimation/question_7.json
ADDED
|
@@ -0,0 +1,32 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"type": "depth_estimation",
|
| 3 |
+
"question": "Report the depth of the artwork (red point) in meters. Calculate or judge based on the 3D center points of these objects. Provide only the numerical value.",
|
| 4 |
+
"answer": "2.68",
|
| 5 |
+
"camera_name": "rand_045",
|
| 6 |
+
"camera_position": [
|
| 7 |
+
-1.1819702638885556,
|
| 8 |
+
-1.4053349559664594,
|
| 9 |
+
-0.48661276219415206
|
| 10 |
+
],
|
| 11 |
+
"camera_look_at": [
|
| 12 |
+
1.4986372903079106,
|
| 13 |
+
-0.8386438222765829,
|
| 14 |
+
-0.7271537491306217
|
| 15 |
+
],
|
| 16 |
+
"object": {
|
| 17 |
+
"label": "artwork",
|
| 18 |
+
"id": "artwork_1",
|
| 19 |
+
"centroid": [
|
| 20 |
+
1.0056445598602295,
|
| 21 |
+
1.0987744331359863,
|
| 22 |
+
-0.8216333175078034
|
| 23 |
+
],
|
| 24 |
+
"depth": 2.68,
|
| 25 |
+
"width": 0.17891114950180054,
|
| 26 |
+
"length": 0.17203128337860107,
|
| 27 |
+
"height": 1.5958154629915953
|
| 28 |
+
},
|
| 29 |
+
"scene_id": "0197_txt_ff7739f27c9b",
|
| 30 |
+
"layout_path": null,
|
| 31 |
+
"image_path": "question_image_7.jpg"
|
| 32 |
+
}
|
0197_txt_ff7739f27c9b/tasks/001_depth_estimation/question_8.json
ADDED
|
@@ -0,0 +1,32 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"type": "depth_estimation",
|
| 3 |
+
"question": "Measure the depth to the window (red point) in meters. Calculate or judge based on the 3D center points of these objects. Reply with a single number.",
|
| 4 |
+
"answer": "0.92",
|
| 5 |
+
"camera_name": "rand_049",
|
| 6 |
+
"camera_position": [
|
| 7 |
+
-0.32518562577975596,
|
| 8 |
+
-0.29061494844343216,
|
| 9 |
+
-0.4561036199711235
|
| 10 |
+
],
|
| 11 |
+
"camera_look_at": [
|
| 12 |
+
-1.1701342282240568,
|
| 13 |
+
0.09553542894356326,
|
| 14 |
+
-0.5890534145113965
|
| 15 |
+
],
|
| 16 |
+
"object": {
|
| 17 |
+
"label": "window",
|
| 18 |
+
"id": "window_0",
|
| 19 |
+
"centroid": [
|
| 20 |
+
-1.2123476266860962,
|
| 21 |
+
0.14074276387691498,
|
| 22 |
+
-0.034423828125
|
| 23 |
+
],
|
| 24 |
+
"depth": 0.92,
|
| 25 |
+
"width": 1.63818359375,
|
| 26 |
+
"length": 1.660888671875,
|
| 27 |
+
"height": 1.10205078125
|
| 28 |
+
},
|
| 29 |
+
"scene_id": "0197_txt_ff7739f27c9b",
|
| 30 |
+
"layout_path": null,
|
| 31 |
+
"image_path": "question_image_8.jpg"
|
| 32 |
+
}
|
0197_txt_ff7739f27c9b/tasks/001_depth_estimation/question_9.json
ADDED
|
@@ -0,0 +1,32 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"type": "depth_estimation",
|
| 3 |
+
"question": "Report the depth of the electrical outlet (red point) in meters. Calculate or judge based on the 3D center points of these objects. Provide only the numerical value.",
|
| 4 |
+
"answer": "1.59",
|
| 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": "electrical outlet",
|
| 18 |
+
"id": "electrical outlet_1",
|
| 19 |
+
"centroid": [
|
| 20 |
+
1.5184171199798584,
|
| 21 |
+
0.6296015381813049,
|
| 22 |
+
-1.2684326171875
|
| 23 |
+
],
|
| 24 |
+
"depth": 1.59,
|
| 25 |
+
"width": 0.12666988372802734,
|
| 26 |
+
"length": 0.09033203125,
|
| 27 |
+
"height": 0.2291698455810547
|
| 28 |
+
},
|
| 29 |
+
"scene_id": "0197_txt_ff7739f27c9b",
|
| 30 |
+
"layout_path": null,
|
| 31 |
+
"image_path": "question_image_9.jpg"
|
| 32 |
+
}
|
0197_txt_ff7739f27c9b/tasks/003_object_distance/question_0.json
ADDED
|
@@ -0,0 +1,47 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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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 |
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{
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| 2 |
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"type": "object_distance",
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| 3 |
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"question": "How many meters separate table (blue point) and storage box (red point)? Calculate or judge based on the 3D center points of these objects. Reply with a number only.",
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| 4 |
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"answer": "0.87",
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| 5 |
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"camera_name": "rand_046",
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| 6 |
+
"camera_position": [
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| 7 |
+
0.8742758978583998,
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| 8 |
+
-0.19095028670804792,
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| 9 |
+
-0.26694784103192415
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| 10 |
+
],
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| 11 |
+
"camera_look_at": [
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| 12 |
+
0.9442562915768041,
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| 13 |
+
-1.2094902080162757,
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| 14 |
+
-1.2237379295841677
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| 15 |
+
],
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| 16 |
+
"blue": {
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| 17 |
+
"circle_color": "blue",
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| 18 |
+
"label": "table",
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| 19 |
+
"id": "table_0",
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| 20 |
+
"centroid": [
|
| 21 |
+
0.9451064467430115,
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| 22 |
+
-1.1746982336044312,
|
| 23 |
+
-1.2077441215515137
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| 24 |
+
],
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| 25 |
+
"distance_to_camera": 1.3630387489420976,
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| 26 |
+
"width": 1.11865234375,
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| 27 |
+
"length": 1.67529296875,
|
| 28 |
+
"height": 0.49759769439697266
|
| 29 |
+
},
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| 30 |
+
"red": {
|
| 31 |
+
"circle_color": "red",
|
| 32 |
+
"label": "storage box",
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| 33 |
+
"id": "storage box_0",
|
| 34 |
+
"centroid": [
|
| 35 |
+
0.3772941529750824,
|
| 36 |
+
-1.7476775646209717,
|
| 37 |
+
-0.880126953125
|
| 38 |
+
],
|
| 39 |
+
"distance_to_camera": 1.7453880073074586,
|
| 40 |
+
"width": 1.0411572456359863,
|
| 41 |
+
"length": 1.2589306831359863,
|
| 42 |
+
"height": 1.60791015625
|
| 43 |
+
},
|
| 44 |
+
"scene_id": "0197_txt_ff7739f27c9b",
|
| 45 |
+
"layout_path": null,
|
| 46 |
+
"image_path": "question_image_0.jpg"
|
| 47 |
+
}
|