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- 0212_txt_8b9056387bc8/meta/.cache_manifest.json +7 -0
- 0212_txt_8b9056387bc8/meta/camera_filter.json +12 -0
- 0212_txt_8b9056387bc8/meta/dimension_filter.json +3 -0
- 0212_txt_8b9056387bc8/meta/label_filter.json +5 -0
- 0212_txt_8b9056387bc8/meta/scene.json +0 -0
- 0212_txt_8b9056387bc8/meta/visibility.json +1205 -0
- 0212_txt_8b9056387bc8/meta/world_full.json +41 -0
- 0212_txt_8b9056387bc8/meta/world_metadata.json +53 -0
- 0212_txt_8b9056387bc8/tasks/000_closest_object/question_image_0.jpg +3 -0
- 0212_txt_8b9056387bc8/tasks/000_closest_object/question_image_1.jpg +3 -0
- 0212_txt_8b9056387bc8/tasks/000_closest_object/question_image_2.jpg +3 -0
- 0212_txt_8b9056387bc8/tasks/000_closest_object/question_image_3.jpg +3 -0
- 0212_txt_8b9056387bc8/tasks/000_closest_object/question_image_4.jpg +3 -0
- 0212_txt_8b9056387bc8/tasks/001_depth_estimation/question_0.json +32 -0
- 0212_txt_8b9056387bc8/tasks/001_depth_estimation/question_1.json +32 -0
- 0212_txt_8b9056387bc8/tasks/001_depth_estimation/question_10.json +32 -0
- 0212_txt_8b9056387bc8/tasks/001_depth_estimation/question_11.json +32 -0
- 0212_txt_8b9056387bc8/tasks/001_depth_estimation/question_2.json +32 -0
- 0212_txt_8b9056387bc8/tasks/001_depth_estimation/question_3.json +32 -0
- 0212_txt_8b9056387bc8/tasks/001_depth_estimation/question_4.json +32 -0
- 0212_txt_8b9056387bc8/tasks/001_depth_estimation/question_5.json +32 -0
- 0212_txt_8b9056387bc8/tasks/001_depth_estimation/question_6.json +32 -0
- 0212_txt_8b9056387bc8/tasks/001_depth_estimation/question_7.json +32 -0
- 0212_txt_8b9056387bc8/tasks/001_depth_estimation/question_8.json +32 -0
- 0212_txt_8b9056387bc8/tasks/001_depth_estimation/question_9.json +32 -0
- 0212_txt_8b9056387bc8/tasks/001_depth_estimation/question_image_0.jpg +3 -0
- 0212_txt_8b9056387bc8/tasks/001_depth_estimation/question_image_1.jpg +3 -0
- 0212_txt_8b9056387bc8/tasks/001_depth_estimation/question_image_10.jpg +3 -0
- 0212_txt_8b9056387bc8/tasks/001_depth_estimation/question_image_11.jpg +3 -0
- 0212_txt_8b9056387bc8/tasks/001_depth_estimation/question_image_2.jpg +3 -0
- 0212_txt_8b9056387bc8/tasks/001_depth_estimation/question_image_3.jpg +3 -0
- 0212_txt_8b9056387bc8/tasks/001_depth_estimation/question_image_4.jpg +3 -0
- 0212_txt_8b9056387bc8/tasks/001_depth_estimation/question_image_5.jpg +3 -0
- 0212_txt_8b9056387bc8/tasks/001_depth_estimation/question_image_6.jpg +3 -0
- 0212_txt_8b9056387bc8/tasks/001_depth_estimation/question_image_7.jpg +3 -0
- 0212_txt_8b9056387bc8/tasks/001_depth_estimation/question_image_8.jpg +3 -0
- 0212_txt_8b9056387bc8/tasks/001_depth_estimation/question_image_9.jpg +3 -0
- 0212_txt_8b9056387bc8/tasks/002_distance_estimation/question_image_0.jpg +3 -0
- 0212_txt_8b9056387bc8/tasks/002_distance_estimation/question_image_1.jpg +3 -0
- 0212_txt_8b9056387bc8/tasks/002_distance_estimation/question_image_10.jpg +3 -0
- 0212_txt_8b9056387bc8/tasks/002_distance_estimation/question_image_11.jpg +3 -0
- 0212_txt_8b9056387bc8/tasks/002_distance_estimation/question_image_2.jpg +3 -0
- 0212_txt_8b9056387bc8/tasks/002_distance_estimation/question_image_3.jpg +3 -0
- 0212_txt_8b9056387bc8/tasks/002_distance_estimation/question_image_4.jpg +3 -0
- 0212_txt_8b9056387bc8/tasks/002_distance_estimation/question_image_5.jpg +3 -0
- 0212_txt_8b9056387bc8/tasks/002_distance_estimation/question_image_6.jpg +3 -0
- 0212_txt_8b9056387bc8/tasks/002_distance_estimation/question_image_7.jpg +3 -0
- 0212_txt_8b9056387bc8/tasks/002_distance_estimation/question_image_8.jpg +3 -0
- 0212_txt_8b9056387bc8/tasks/002_distance_estimation/question_image_9.jpg +3 -0
- 0212_txt_8b9056387bc8/tasks/003_object_distance/question_0.json +47 -0
0212_txt_8b9056387bc8/meta/.cache_manifest.json
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{
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"cache_key": "8b9056387bc83cca_marble-1.1_None",
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"world_id": "6131cd6b-b5f6-42fb-a8f7-a0904b417a21",
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"operation_id": "6566af19-05f7-4ba8-914d-e655e2e0ce23",
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"assets_downloaded": true,
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"usd_converted": true
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}
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0212_txt_8b9056387bc8/meta/camera_filter.json
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{
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"rejected": [
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"rand_006",
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"rand_020",
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"rand_024",
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"rand_033",
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"rand_041",
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"rand_044",
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"rand_046",
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"rand_057"
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]
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}
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0212_txt_8b9056387bc8/meta/dimension_filter.json
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{
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"excluded": []
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}
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0212_txt_8b9056387bc8/meta/label_filter.json
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{
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"excluded": [
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"cabinet_0"
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]
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}
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0212_txt_8b9056387bc8/meta/scene.json
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0212_txt_8b9056387bc8/meta/visibility.json
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|
| 1 |
+
{
|
| 2 |
+
"rand_000": [
|
| 3 |
+
"door_0",
|
| 4 |
+
"light switch_0"
|
| 5 |
+
],
|
| 6 |
+
"rand_001": [
|
| 7 |
+
"light switch_0"
|
| 8 |
+
],
|
| 9 |
+
"rand_002": [
|
| 10 |
+
"towel bar_0",
|
| 11 |
+
"towel rack_0",
|
| 12 |
+
"faucet_2",
|
| 13 |
+
"sink_1"
|
| 14 |
+
],
|
| 15 |
+
"rand_003": [
|
| 16 |
+
"toilet_0",
|
| 17 |
+
"toilet brush holder_0",
|
| 18 |
+
"toilet paper holder_0",
|
| 19 |
+
"towel bar_0",
|
| 20 |
+
"towel rack_0",
|
| 21 |
+
"sink_1"
|
| 22 |
+
],
|
| 23 |
+
"rand_004": [
|
| 24 |
+
"toilet_0",
|
| 25 |
+
"towel bar_0",
|
| 26 |
+
"towel rack_0",
|
| 27 |
+
"faucet_2",
|
| 28 |
+
"sink_1"
|
| 29 |
+
],
|
| 30 |
+
"rand_005": [
|
| 31 |
+
"faucet_0",
|
| 32 |
+
"sink_0",
|
| 33 |
+
"faucet_1"
|
| 34 |
+
],
|
| 35 |
+
"rand_006": [
|
| 36 |
+
"door_0",
|
| 37 |
+
"toilet_0",
|
| 38 |
+
"faucet_2",
|
| 39 |
+
"sink_1"
|
| 40 |
+
],
|
| 41 |
+
"rand_007": [
|
| 42 |
+
"door_0",
|
| 43 |
+
"light switch_0"
|
| 44 |
+
],
|
| 45 |
+
"rand_008": [
|
| 46 |
+
"door_0",
|
| 47 |
+
"light switch_0"
|
| 48 |
+
],
|
| 49 |
+
"rand_009": [
|
| 50 |
+
"door_0",
|
| 51 |
+
"light switch_0"
|
| 52 |
+
],
|
| 53 |
+
"rand_010": [
|
| 54 |
+
"toilet_0",
|
| 55 |
+
"towel bar_0",
|
| 56 |
+
"towel rack_0",
|
| 57 |
+
"faucet_2",
|
| 58 |
+
"sink_1"
|
| 59 |
+
],
|
| 60 |
+
"rand_011": [
|
| 61 |
+
"door_0",
|
| 62 |
+
"toilet_0",
|
| 63 |
+
"toilet brush holder_0",
|
| 64 |
+
"toilet paper holder_0"
|
| 65 |
+
],
|
| 66 |
+
"rand_012": [
|
| 67 |
+
"toilet_0",
|
| 68 |
+
"towel bar_0",
|
| 69 |
+
"towel rack_0",
|
| 70 |
+
"faucet_2",
|
| 71 |
+
"sink_1"
|
| 72 |
+
],
|
| 73 |
+
"rand_013": [
|
| 74 |
+
"toilet_0",
|
| 75 |
+
"toilet brush holder_0",
|
| 76 |
+
"toilet paper holder_0"
|
| 77 |
+
],
|
| 78 |
+
"rand_014": [
|
| 79 |
+
"toilet_0",
|
| 80 |
+
"toilet brush holder_0",
|
| 81 |
+
"toilet paper holder_0",
|
| 82 |
+
"towel bar_0",
|
| 83 |
+
"towel rack_0"
|
| 84 |
+
],
|
| 85 |
+
"rand_015": [
|
| 86 |
+
"faucet_0",
|
| 87 |
+
"sink_0",
|
| 88 |
+
"faucet_1"
|
| 89 |
+
],
|
| 90 |
+
"rand_016": [
|
| 91 |
+
"bathtub_0",
|
| 92 |
+
"sink_0",
|
| 93 |
+
"faucet_1",
|
| 94 |
+
"faucet_2",
|
| 95 |
+
"sink_1"
|
| 96 |
+
],
|
| 97 |
+
"rand_017": [
|
| 98 |
+
"toilet_0",
|
| 99 |
+
"toilet brush holder_0",
|
| 100 |
+
"toilet paper holder_0",
|
| 101 |
+
"towel bar_0",
|
| 102 |
+
"towel rack_0"
|
| 103 |
+
],
|
| 104 |
+
"rand_018": [
|
| 105 |
+
"door_0",
|
| 106 |
+
"light switch_0"
|
| 107 |
+
],
|
| 108 |
+
"rand_019": [
|
| 109 |
+
"bathtub_0",
|
| 110 |
+
"sink_0",
|
| 111 |
+
"faucet_1",
|
| 112 |
+
"faucet_2",
|
| 113 |
+
"sink_1"
|
| 114 |
+
],
|
| 115 |
+
"rand_020": [
|
| 116 |
+
"toilet_0",
|
| 117 |
+
"toilet brush holder_0",
|
| 118 |
+
"toilet paper holder_0",
|
| 119 |
+
"sink_1"
|
| 120 |
+
],
|
| 121 |
+
"rand_021": [
|
| 122 |
+
"towel bar_0",
|
| 123 |
+
"towel rack_0",
|
| 124 |
+
"faucet_2",
|
| 125 |
+
"sink_1"
|
| 126 |
+
],
|
| 127 |
+
"rand_022": [
|
| 128 |
+
"toilet_0",
|
| 129 |
+
"toilet brush holder_0",
|
| 130 |
+
"toilet paper holder_0",
|
| 131 |
+
"towel bar_0",
|
| 132 |
+
"towel rack_0",
|
| 133 |
+
"faucet_2",
|
| 134 |
+
"sink_1"
|
| 135 |
+
],
|
| 136 |
+
"rand_023": [
|
| 137 |
+
"door_0",
|
| 138 |
+
"light switch_0"
|
| 139 |
+
],
|
| 140 |
+
"rand_024": [
|
| 141 |
+
"toilet_0",
|
| 142 |
+
"toilet brush holder_0",
|
| 143 |
+
"toilet paper holder_0",
|
| 144 |
+
"towel bar_0",
|
| 145 |
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| 566 |
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|
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| 1076 |
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| 1080 |
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|
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],
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|
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"toilet paper holder_0",
|
| 1167 |
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"towel bar_0",
|
| 1168 |
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"towel rack_0",
|
| 1169 |
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|
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|
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"door_0",
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"light switch_0"
|
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],
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| 1175 |
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"view_011_step_pitch_down": [
|
| 1176 |
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"door_0",
|
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"toilet paper holder_0"
|
| 1178 |
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],
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| 1179 |
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|
| 1180 |
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"door_0",
|
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"toilet_0",
|
| 1182 |
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"toilet brush holder_0",
|
| 1183 |
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"toilet paper holder_0"
|
| 1184 |
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],
|
| 1185 |
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"view_011_step_right": [
|
| 1186 |
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"toilet_0",
|
| 1187 |
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"toilet brush holder_0",
|
| 1188 |
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"toilet paper holder_0",
|
| 1189 |
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"towel bar_0"
|
| 1190 |
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],
|
| 1191 |
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"view_011_step_up": [
|
| 1192 |
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"door_0",
|
| 1193 |
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"toilet paper holder_0"
|
| 1194 |
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],
|
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"view_011_step_yaw_left": [
|
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"door_0",
|
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"light switch_0",
|
| 1198 |
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"toilet paper holder_0"
|
| 1199 |
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],
|
| 1200 |
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"view_011_step_yaw_right": [
|
| 1201 |
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"toilet_0",
|
| 1202 |
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"toilet brush holder_0",
|
| 1203 |
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"toilet paper holder_0"
|
| 1204 |
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]
|
| 1205 |
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}
|
0212_txt_8b9056387bc8/meta/world_full.json
ADDED
|
@@ -0,0 +1,41 @@
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|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"world_id": "6131cd6b-b5f6-42fb-a8f7-a0904b417a21",
|
| 3 |
+
"display_name": "The video pans through a cozy, warmly li",
|
| 4 |
+
"tags": null,
|
| 5 |
+
"assets": {
|
| 6 |
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"mesh": {
|
| 7 |
+
"collider_mesh_url": "https://cdn.marble.worldlabs.ai/6131cd6b-b5f6-42fb-a8f7-a0904b417a21/3b4c3648.glb"
|
| 8 |
+
},
|
| 9 |
+
"imagery": {
|
| 10 |
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"pano_url": "https://cdn.marble.worldlabs.ai/6131cd6b-b5f6-42fb-a8f7-a0904b417a21/e8d03268-fd5c-4ad9-a189-6e1e94a1477e_panos/rgb_0.png"
|
| 11 |
+
},
|
| 12 |
+
"splats": {
|
| 13 |
+
"spz_urls": {
|
| 14 |
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"500k": "https://cdn.marble.worldlabs.ai/6131cd6b-b5f6-42fb-a8f7-a0904b417a21/4d48d28b-64f6-4fcf-a09c-a96b88b717ec_ceramic_500k.spz",
|
| 15 |
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"100k": "https://cdn.marble.worldlabs.ai/6131cd6b-b5f6-42fb-a8f7-a0904b417a21/377c073f-3476-4980-876f-71427ca4c55a_dust_100k.spz",
|
| 16 |
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"150k": "https://cdn.marble.worldlabs.ai/6131cd6b-b5f6-42fb-a8f7-a0904b417a21/61a56ec8-3150-43d7-b795-9631d162bd5f_ceramic_150k.spz",
|
| 17 |
+
"full_res": "https://cdn.marble.worldlabs.ai/6131cd6b-b5f6-42fb-a8f7-a0904b417a21/98ef76df-b1e1-4651-a49e-e208bf9d7641_ceramic.spz"
|
| 18 |
+
},
|
| 19 |
+
"semantics_metadata": {
|
| 20 |
+
"metric_scale_factor": 0.9475874304771423,
|
| 21 |
+
"ground_plane_offset": 1.3282548189163208
|
| 22 |
+
}
|
| 23 |
+
},
|
| 24 |
+
"thumbnail_url": "https://cdn.marble.worldlabs.ai/6131cd6b-b5f6-42fb-a8f7-a0904b417a21/29d0e504-5582-4596-a6b2-4c3fd1e8c22d_sand_mpi/thumbnail.webp",
|
| 25 |
+
"caption": "The scene is a cozy, warmly lit bathroom, captured in a realistic style, exuding an intimate and inviting ambiance. The overall tone is serene and luxurious, with a focus on natural textures and soft lighting. The bathroom features wooden flooring that extends throughout the space, complemented by soft beige walls. Gray wainscoting accents the lower portion of the walls, providing a subtle contrast. A white toilet with a beige seat is positioned on a tiled platform, its chrome flush handle gleaming. A toilet brush in a holder stands beside the toilet. Adjacent to the toilet, a classic white bathtub is fitted with chrome fixtures and features a blue-tiled trim along its base. A textured gray towel is draped neatly over the edge of the bathtub. A wall-mounted sink with dual chrome faucets and exposed plumbing is situated next to a heated towel rail. Above, a crystal chandelier hangs from the ceiling, casting a soft, diffused glow across the room. This light reflects in a large mirror, which reveals a colorful wall art piece positioned on an adjacent wall. The wooden flooring provides a warm foundation for the room, while the beige walls and gray wainscoting create a sophisticated backdrop. The tiled platform under the toilet is seamlessly integrated into the floor plan. The bathtub is positioned along one wall, with the sink and heated towel rail on an adjacent wall. The mirror is mounted above the sink, reflecting the chandelier and the wall art. "
|
| 26 |
+
},
|
| 27 |
+
"created_at": "2026-04-10T17:22:05Z",
|
| 28 |
+
"updated_at": "2026-04-10T17:27:24Z",
|
| 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, warmly lit bathroom, captured in a realistic style, exuding an intimate and inviting ambiance. The overall tone is serene and luxurious, with a focus on natural textures and soft lighting. The bathroom features wooden flooring that extends throughout the space, complemented by soft beige walls. Gray wainscoting accents the lower portion of the walls, providing a subtle contrast. A white toilet with a beige seat is positioned on a tiled platform, its chrome flush handle gleaming. A toilet brush in a holder stands beside the toilet. Adjacent to the toilet, a classic white bathtub is fitted with chrome fixtures and features a blue-tiled trim along its base. A textured gray towel is draped neatly over the edge of the bathtub. A wall-mounted sink with dual chrome faucets and exposed plumbing is situated next to a heated towel rail. Above, a crystal chandelier hangs from the ceiling, casting a soft, diffused glow across the room. This light reflects in a large mirror, which reveals a colorful wall art piece positioned on an adjacent wall. The wooden flooring provides a warm foundation for the room, while the beige walls and gray wainscoting create a sophisticated backdrop. The tiled platform under the toilet is seamlessly integrated into the floor plan. The bathtub is positioned along one wall, with the sink and heated towel rail on an adjacent wall. The mirror is mounted above the sink, reflecting the chandelier and the wall art. The 360 scene is faultless.",
|
| 37 |
+
"type": "text"
|
| 38 |
+
},
|
| 39 |
+
"world_marble_url": "https://marble.worldlabs.ai/world/6131cd6b-b5f6-42fb-a8f7-a0904b417a21",
|
| 40 |
+
"model": "marble-1.1"
|
| 41 |
+
}
|
0212_txt_8b9056387bc8/meta/world_metadata.json
ADDED
|
@@ -0,0 +1,53 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"operation_id": "6566af19-05f7-4ba8-914d-e655e2e0ce23",
|
| 3 |
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"created_at": "2026-04-10T17:22:06Z",
|
| 4 |
+
"updated_at": "2026-04-10T17:27:25Z",
|
| 5 |
+
"expires_at": "2026-04-10T20:22:06Z",
|
| 6 |
+
"done": true,
|
| 7 |
+
"error": null,
|
| 8 |
+
"metadata": {
|
| 9 |
+
"progress": {
|
| 10 |
+
"status": "SUCCEEDED",
|
| 11 |
+
"description": "World generation completed successfully"
|
| 12 |
+
},
|
| 13 |
+
"world_id": "6131cd6b-b5f6-42fb-a8f7-a0904b417a21"
|
| 14 |
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},
|
| 15 |
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"response": {
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| 16 |
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| 18 |
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"collider_mesh_url": "https://cdn.marble.worldlabs.ai/6131cd6b-b5f6-42fb-a8f7-a0904b417a21/3b4c3648.glb"
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| 22 |
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},
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| 23 |
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"imagery": {
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| 24 |
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"pano_url": "https://cdn.marble.worldlabs.ai/6131cd6b-b5f6-42fb-a8f7-a0904b417a21/e8d03268-fd5c-4ad9-a189-6e1e94a1477e_panos/rgb_0.png"
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| 25 |
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| 26 |
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"splats": {
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"spz_urls": {
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"500k": "https://cdn.marble.worldlabs.ai/6131cd6b-b5f6-42fb-a8f7-a0904b417a21/4d48d28b-64f6-4fcf-a09c-a96b88b717ec_ceramic_500k.spz",
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"100k": "https://cdn.marble.worldlabs.ai/6131cd6b-b5f6-42fb-a8f7-a0904b417a21/377c073f-3476-4980-876f-71427ca4c55a_dust_100k.spz",
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"150k": "https://cdn.marble.worldlabs.ai/6131cd6b-b5f6-42fb-a8f7-a0904b417a21/61a56ec8-3150-43d7-b795-9631d162bd5f_ceramic_150k.spz",
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"full_res": "https://cdn.marble.worldlabs.ai/6131cd6b-b5f6-42fb-a8f7-a0904b417a21/98ef76df-b1e1-4651-a49e-e208bf9d7641_ceramic.spz"
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| 32 |
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| 33 |
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"semantics_metadata": {
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| 34 |
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"metric_scale_factor": 0.94758743,
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| 35 |
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"ground_plane_offset": 1.3282548
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| 36 |
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}
|
| 37 |
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},
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| 38 |
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"thumbnail_url": "https://cdn.marble.worldlabs.ai/6131cd6b-b5f6-42fb-a8f7-a0904b417a21/29d0e504-5582-4596-a6b2-4c3fd1e8c22d_sand_mpi/thumbnail.webp",
|
| 39 |
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"caption": "The scene is a cozy, warmly lit bathroom, captured in a realistic style, exuding an intimate and inviting ambiance. The overall tone is serene and luxurious, with a focus on natural textures and soft lighting. The bathroom features wooden flooring that extends throughout the space, complemented by soft beige walls. Gray wainscoting accents the lower portion of the walls, providing a subtle contrast. A white toilet with a beige seat is positioned on a tiled platform, its chrome flush handle gleaming. A toilet brush in a holder stands beside the toilet. Adjacent to the toilet, a classic white bathtub is fitted with chrome fixtures and features a blue-tiled trim along its base. A textured gray towel is draped neatly over the edge of the bathtub. A wall-mounted sink with dual chrome faucets and exposed plumbing is situated next to a heated towel rail. Above, a crystal chandelier hangs from the ceiling, casting a soft, diffused glow across the room. This light reflects in a large mirror, which reveals a colorful wall art piece positioned on an adjacent wall. The wooden flooring provides a warm foundation for the room, while the beige walls and gray wainscoting create a sophisticated backdrop. The tiled platform under the toilet is seamlessly integrated into the floor plan. The bathtub is positioned along one wall, with the sink and heated towel rail on an adjacent wall. The mirror is mounted above the sink, reflecting the chandelier and the wall art. The 360 scene is faultless."
|
| 40 |
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|
| 41 |
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"created_at": null,
|
| 42 |
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"updated_at": null,
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| 43 |
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"permission": {
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| 44 |
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"public": false,
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| 45 |
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"allowed_readers": [],
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"allowed_writers": [],
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"allow_id_access": false
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| 48 |
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},
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| 49 |
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"world_prompt": null,
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| 50 |
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"world_marble_url": "https://marble.worldlabs.ai/world/6131cd6b-b5f6-42fb-a8f7-a0904b417a21",
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| 51 |
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"model": null
|
| 52 |
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}
|
| 53 |
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}
|
0212_txt_8b9056387bc8/tasks/000_closest_object/question_image_0.jpg
ADDED
|
Git LFS Details
|
0212_txt_8b9056387bc8/tasks/000_closest_object/question_image_1.jpg
ADDED
|
Git LFS Details
|
0212_txt_8b9056387bc8/tasks/000_closest_object/question_image_2.jpg
ADDED
|
Git LFS Details
|
0212_txt_8b9056387bc8/tasks/000_closest_object/question_image_3.jpg
ADDED
|
Git LFS Details
|
0212_txt_8b9056387bc8/tasks/000_closest_object/question_image_4.jpg
ADDED
|
Git LFS Details
|
0212_txt_8b9056387bc8/tasks/001_depth_estimation/question_0.json
ADDED
|
@@ -0,0 +1,32 @@
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|
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|
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|
|
|
|
| 1 |
+
{
|
| 2 |
+
"type": "depth_estimation",
|
| 3 |
+
"question": "Estimate the depth in meters of the toilet (red point). Calculate or judge based on the 3D center points of these objects. Respond with only a number.",
|
| 4 |
+
"answer": "1.37",
|
| 5 |
+
"camera_name": "rand_019",
|
| 6 |
+
"camera_position": [
|
| 7 |
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-0.44030413956475456,
|
| 8 |
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-0.8608444029937665,
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| 9 |
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0.38283233504543057
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| 10 |
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],
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| 11 |
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"camera_look_at": [
|
| 12 |
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0.013638654701708997,
|
| 13 |
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-1.2488338300068944,
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| 14 |
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-0.5940238664637199
|
| 15 |
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],
|
| 16 |
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"object": {
|
| 17 |
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"label": "toilet",
|
| 18 |
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"id": "toilet_0",
|
| 19 |
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"centroid": [
|
| 20 |
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0.14123959839344025,
|
| 21 |
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-1.271075963973999,
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| 22 |
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-0.783935546875
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| 23 |
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],
|
| 24 |
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"depth": 1.37,
|
| 25 |
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"width": 0.58447265625,
|
| 26 |
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"length": 0.595703125,
|
| 27 |
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"height": 0.4658203125
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| 28 |
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},
|
| 29 |
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"scene_id": "0212_txt_8b9056387bc8",
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| 30 |
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"layout_path": null,
|
| 31 |
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"image_path": "question_image_0.jpg"
|
| 32 |
+
}
|
0212_txt_8b9056387bc8/tasks/001_depth_estimation/question_1.json
ADDED
|
@@ -0,0 +1,32 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"type": "depth_estimation",
|
| 3 |
+
"question": "What is the depth of the bathtub (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": "1.38",
|
| 5 |
+
"camera_name": "rand_039",
|
| 6 |
+
"camera_position": [
|
| 7 |
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0.4297489713779945,
|
| 8 |
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|
| 9 |
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|
| 10 |
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],
|
| 11 |
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"camera_look_at": [
|
| 12 |
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|
| 13 |
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| 14 |
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|
| 15 |
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],
|
| 16 |
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"object": {
|
| 17 |
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"label": "bathtub",
|
| 18 |
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"id": "bathtub_0",
|
| 19 |
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"centroid": [
|
| 20 |
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|
| 21 |
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|
| 22 |
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|
| 23 |
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],
|
| 24 |
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"depth": 1.38,
|
| 25 |
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"width": 1.2451171875,
|
| 26 |
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"length": 1.560302734375,
|
| 27 |
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"height": 0.556396484375
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| 28 |
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},
|
| 29 |
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"scene_id": "0212_txt_8b9056387bc8",
|
| 30 |
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"layout_path": null,
|
| 31 |
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"image_path": "question_image_1.jpg"
|
| 32 |
+
}
|
0212_txt_8b9056387bc8/tasks/001_depth_estimation/question_10.json
ADDED
|
@@ -0,0 +1,32 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
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|
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|
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|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"type": "depth_estimation",
|
| 3 |
+
"question": "Measure the depth to the toilet brush (red point) in meters. Calculate or judge based on the 3D center points of these objects. Reply with a single number.",
|
| 4 |
+
"answer": "1.52",
|
| 5 |
+
"camera_name": "rand_026",
|
| 6 |
+
"camera_position": [
|
| 7 |
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0.2361582040647955,
|
| 8 |
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|
| 9 |
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0.008755682877886528
|
| 10 |
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],
|
| 11 |
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"camera_look_at": [
|
| 12 |
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|
| 13 |
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|
| 14 |
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|
| 15 |
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],
|
| 16 |
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"object": {
|
| 17 |
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"label": "toilet brush",
|
| 18 |
+
"id": "toilet brush_0",
|
| 19 |
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"centroid": [
|
| 20 |
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-0.16877306997776031,
|
| 21 |
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-1.5674175024032593,
|
| 22 |
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-1.0513867437839508
|
| 23 |
+
],
|
| 24 |
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"depth": 1.52,
|
| 25 |
+
"width": 0.11595702916383743,
|
| 26 |
+
"length": 0.27833497524261475,
|
| 27 |
+
"height": 0.30821293592453003
|
| 28 |
+
},
|
| 29 |
+
"scene_id": "0212_txt_8b9056387bc8",
|
| 30 |
+
"layout_path": null,
|
| 31 |
+
"image_path": "question_image_10.jpg"
|
| 32 |
+
}
|
0212_txt_8b9056387bc8/tasks/001_depth_estimation/question_11.json
ADDED
|
@@ -0,0 +1,32 @@
|
|
|
|
|
|
|
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|
|
|
|
|
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|
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|
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|
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|
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|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"type": "depth_estimation",
|
| 3 |
+
"question": "How deep is the toilet brush (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": "0.68",
|
| 5 |
+
"camera_name": "rand_001",
|
| 6 |
+
"camera_position": [
|
| 7 |
+
-0.29608065944123413,
|
| 8 |
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-0.944700558725339,
|
| 9 |
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-0.49406105995694327
|
| 10 |
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],
|
| 11 |
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"camera_look_at": [
|
| 12 |
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0.16843339928932421,
|
| 13 |
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-1.2875459739570492,
|
| 14 |
+
-0.8143216873879038
|
| 15 |
+
],
|
| 16 |
+
"object": {
|
| 17 |
+
"label": "toilet brush",
|
| 18 |
+
"id": "toilet brush_0",
|
| 19 |
+
"centroid": [
|
| 20 |
+
-0.16877306997776031,
|
| 21 |
+
-1.5674175024032593,
|
| 22 |
+
-1.0513867437839508
|
| 23 |
+
],
|
| 24 |
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"depth": 0.68,
|
| 25 |
+
"width": 0.11595702916383743,
|
| 26 |
+
"length": 0.27833497524261475,
|
| 27 |
+
"height": 0.30821293592453003
|
| 28 |
+
},
|
| 29 |
+
"scene_id": "0212_txt_8b9056387bc8",
|
| 30 |
+
"layout_path": null,
|
| 31 |
+
"image_path": "question_image_11.jpg"
|
| 32 |
+
}
|
0212_txt_8b9056387bc8/tasks/001_depth_estimation/question_2.json
ADDED
|
@@ -0,0 +1,32 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"type": "depth_estimation",
|
| 3 |
+
"question": "What is the depth of the grab bar (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_023",
|
| 6 |
+
"camera_position": [
|
| 7 |
+
0.34082363843107594,
|
| 8 |
+
-0.12887279120836329,
|
| 9 |
+
-0.43584125235538074
|
| 10 |
+
],
|
| 11 |
+
"camera_look_at": [
|
| 12 |
+
0.1722344545094623,
|
| 13 |
+
-1.28455660795932,
|
| 14 |
+
-0.7870495985536906
|
| 15 |
+
],
|
| 16 |
+
"object": {
|
| 17 |
+
"label": "grab bar",
|
| 18 |
+
"id": "grab bar_0",
|
| 19 |
+
"centroid": [
|
| 20 |
+
0.8291505575180054,
|
| 21 |
+
-1.0982723236083984,
|
| 22 |
+
-0.4608154296875
|
| 23 |
+
],
|
| 24 |
+
"depth": 0.86,
|
| 25 |
+
"width": 0.44205570220947266,
|
| 26 |
+
"length": 0.3456200957298279,
|
| 27 |
+
"height": 0.131591796875
|
| 28 |
+
},
|
| 29 |
+
"scene_id": "0212_txt_8b9056387bc8",
|
| 30 |
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"layout_path": null,
|
| 31 |
+
"image_path": "question_image_2.jpg"
|
| 32 |
+
}
|
0212_txt_8b9056387bc8/tasks/001_depth_estimation/question_3.json
ADDED
|
@@ -0,0 +1,32 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"type": "depth_estimation",
|
| 3 |
+
"question": "Determine the depth of the toilet (red point) in meters. Calculate or judge based on the 3D center points of these objects. Provide a single numerical answer.",
|
| 4 |
+
"answer": "1.06",
|
| 5 |
+
"camera_name": "rand_047",
|
| 6 |
+
"camera_position": [
|
| 7 |
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0.5424417561865997,
|
| 8 |
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-0.8899075628958063,
|
| 9 |
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0.3004645176543985
|
| 10 |
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],
|
| 11 |
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"camera_look_at": [
|
| 12 |
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-0.5128345118012245,
|
| 13 |
+
-1.2878875387410518,
|
| 14 |
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-0.5453696671485644
|
| 15 |
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],
|
| 16 |
+
"object": {
|
| 17 |
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"label": "toilet",
|
| 18 |
+
"id": "toilet_0",
|
| 19 |
+
"centroid": [
|
| 20 |
+
0.14123959839344025,
|
| 21 |
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-1.271075963973999,
|
| 22 |
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-0.783935546875
|
| 23 |
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],
|
| 24 |
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"depth": 1.06,
|
| 25 |
+
"width": 0.58447265625,
|
| 26 |
+
"length": 0.595703125,
|
| 27 |
+
"height": 0.4658203125
|
| 28 |
+
},
|
| 29 |
+
"scene_id": "0212_txt_8b9056387bc8",
|
| 30 |
+
"layout_path": null,
|
| 31 |
+
"image_path": "question_image_3.jpg"
|
| 32 |
+
}
|
0212_txt_8b9056387bc8/tasks/001_depth_estimation/question_4.json
ADDED
|
@@ -0,0 +1,32 @@
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| 1 |
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{
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| 2 |
+
"type": "depth_estimation",
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| 3 |
+
"question": "What is the depth of the cabinet (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.",
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| 4 |
+
"answer": "1.78",
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| 5 |
+
"camera_name": "rand_038",
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| 6 |
+
"camera_position": [
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| 7 |
+
0.2899872645024296,
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| 8 |
+
-1.036052533668392,
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| 9 |
+
0.05922277463576209
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| 10 |
+
],
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| 11 |
+
"camera_look_at": [
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| 12 |
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-0.6450967391997373,
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| 13 |
+
0.5347289052341995,
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| 14 |
+
-0.2109468817607475
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| 15 |
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],
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| 16 |
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"object": {
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| 17 |
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"label": "cabinet",
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| 18 |
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"id": "cabinet_0",
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| 19 |
+
"centroid": [
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| 20 |
+
-0.5712297558784485,
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| 21 |
+
0.4973858594894409,
|
| 22 |
+
-0.19580078125
|
| 23 |
+
],
|
| 24 |
+
"depth": 1.78,
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| 25 |
+
"width": 1.06591796875,
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| 26 |
+
"length": 0.916015625,
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| 27 |
+
"height": 1.02001953125
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| 28 |
+
},
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| 29 |
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"scene_id": "0212_txt_8b9056387bc8",
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| 30 |
+
"layout_path": null,
|
| 31 |
+
"image_path": "question_image_4.jpg"
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| 32 |
+
}
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0212_txt_8b9056387bc8/tasks/001_depth_estimation/question_5.json
ADDED
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@@ -0,0 +1,32 @@
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| 1 |
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{
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| 2 |
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"type": "depth_estimation",
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| 3 |
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"question": "Measure the depth to the grab bar (red point) in meters. Calculate or judge based on the 3D center points of these objects. Reply with a single number.",
|
| 4 |
+
"answer": "1.42",
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| 5 |
+
"camera_name": "rand_043",
|
| 6 |
+
"camera_position": [
|
| 7 |
+
-0.4709177824179238,
|
| 8 |
+
-0.26377257950019706,
|
| 9 |
+
-0.025298765372564924
|
| 10 |
+
],
|
| 11 |
+
"camera_look_at": [
|
| 12 |
+
0.19025256662023926,
|
| 13 |
+
-1.3267746876389575,
|
| 14 |
+
-0.7645603280368696
|
| 15 |
+
],
|
| 16 |
+
"object": {
|
| 17 |
+
"label": "grab bar",
|
| 18 |
+
"id": "grab bar_0",
|
| 19 |
+
"centroid": [
|
| 20 |
+
0.8291505575180054,
|
| 21 |
+
-1.0982723236083984,
|
| 22 |
+
-0.4608154296875
|
| 23 |
+
],
|
| 24 |
+
"depth": 1.42,
|
| 25 |
+
"width": 0.44205570220947266,
|
| 26 |
+
"length": 0.3456200957298279,
|
| 27 |
+
"height": 0.131591796875
|
| 28 |
+
},
|
| 29 |
+
"scene_id": "0212_txt_8b9056387bc8",
|
| 30 |
+
"layout_path": null,
|
| 31 |
+
"image_path": "question_image_5.jpg"
|
| 32 |
+
}
|
0212_txt_8b9056387bc8/tasks/001_depth_estimation/question_6.json
ADDED
|
@@ -0,0 +1,32 @@
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| 1 |
+
{
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| 2 |
+
"type": "depth_estimation",
|
| 3 |
+
"question": "Measure the depth to the bathtub (red point) in meters. Calculate or judge based on the 3D center points of these objects. Reply with a single number.",
|
| 4 |
+
"answer": "1.17",
|
| 5 |
+
"camera_name": "view_003",
|
| 6 |
+
"camera_position": [
|
| 7 |
+
-0.0,
|
| 8 |
+
-0.0,
|
| 9 |
+
0.0
|
| 10 |
+
],
|
| 11 |
+
"camera_look_at": [
|
| 12 |
+
9.659257888793945,
|
| 13 |
+
-5.914589666286812e-16,
|
| 14 |
+
-2.5881905555725098
|
| 15 |
+
],
|
| 16 |
+
"object": {
|
| 17 |
+
"label": "bathtub",
|
| 18 |
+
"id": "bathtub_0",
|
| 19 |
+
"centroid": [
|
| 20 |
+
0.9827163815498352,
|
| 21 |
+
0.38475579023361206,
|
| 22 |
+
-0.8643798828125
|
| 23 |
+
],
|
| 24 |
+
"depth": 1.17,
|
| 25 |
+
"width": 1.2451171875,
|
| 26 |
+
"length": 1.560302734375,
|
| 27 |
+
"height": 0.556396484375
|
| 28 |
+
},
|
| 29 |
+
"scene_id": "0212_txt_8b9056387bc8",
|
| 30 |
+
"layout_path": null,
|
| 31 |
+
"image_path": "question_image_6.jpg"
|
| 32 |
+
}
|
0212_txt_8b9056387bc8/tasks/001_depth_estimation/question_7.json
ADDED
|
@@ -0,0 +1,32 @@
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| 1 |
+
{
|
| 2 |
+
"type": "depth_estimation",
|
| 3 |
+
"question": "Estimate the depth in meters of the toilet paper holder (red point). Calculate or judge based on the 3D center points of these objects. Respond with only a number.",
|
| 4 |
+
"answer": "1.44",
|
| 5 |
+
"camera_name": "rand_034",
|
| 6 |
+
"camera_position": [
|
| 7 |
+
0.19701411985730885,
|
| 8 |
+
-0.3020888380887629,
|
| 9 |
+
0.269225053187355
|
| 10 |
+
],
|
| 11 |
+
"camera_look_at": [
|
| 12 |
+
-0.4674592732352611,
|
| 13 |
+
-1.3408576969773796,
|
| 14 |
+
-0.553393416087653
|
| 15 |
+
],
|
| 16 |
+
"object": {
|
| 17 |
+
"label": "toilet paper holder",
|
| 18 |
+
"id": "toilet paper holder_0",
|
| 19 |
+
"centroid": [
|
| 20 |
+
-0.3883518576622009,
|
| 21 |
+
-1.321486473083496,
|
| 22 |
+
-0.5665600597858429
|
| 23 |
+
],
|
| 24 |
+
"depth": 1.44,
|
| 25 |
+
"width": 0.12451171875,
|
| 26 |
+
"length": 0.20538568496704102,
|
| 27 |
+
"height": 0.2185693383216858
|
| 28 |
+
},
|
| 29 |
+
"scene_id": "0212_txt_8b9056387bc8",
|
| 30 |
+
"layout_path": null,
|
| 31 |
+
"image_path": "question_image_7.jpg"
|
| 32 |
+
}
|
0212_txt_8b9056387bc8/tasks/001_depth_estimation/question_8.json
ADDED
|
@@ -0,0 +1,32 @@
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|
| 1 |
+
{
|
| 2 |
+
"type": "depth_estimation",
|
| 3 |
+
"question": "Report the depth of the cabinet (red point) in meters. Calculate or judge based on the 3D center points of these objects. Provide only the numerical value.",
|
| 4 |
+
"answer": "0.6",
|
| 5 |
+
"camera_name": "view_009",
|
| 6 |
+
"camera_position": [
|
| 7 |
+
-0.0,
|
| 8 |
+
-0.0,
|
| 9 |
+
0.0
|
| 10 |
+
],
|
| 11 |
+
"camera_look_at": [
|
| 12 |
+
-9.659257888793945,
|
| 13 |
+
1.774377005765162e-15,
|
| 14 |
+
-2.5881905555725098
|
| 15 |
+
],
|
| 16 |
+
"object": {
|
| 17 |
+
"label": "cabinet",
|
| 18 |
+
"id": "cabinet_0",
|
| 19 |
+
"centroid": [
|
| 20 |
+
-0.5712297558784485,
|
| 21 |
+
0.4973858594894409,
|
| 22 |
+
-0.19580078125
|
| 23 |
+
],
|
| 24 |
+
"depth": 0.6,
|
| 25 |
+
"width": 1.06591796875,
|
| 26 |
+
"length": 0.916015625,
|
| 27 |
+
"height": 1.02001953125
|
| 28 |
+
},
|
| 29 |
+
"scene_id": "0212_txt_8b9056387bc8",
|
| 30 |
+
"layout_path": null,
|
| 31 |
+
"image_path": "question_image_8.jpg"
|
| 32 |
+
}
|
0212_txt_8b9056387bc8/tasks/001_depth_estimation/question_9.json
ADDED
|
@@ -0,0 +1,32 @@
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|
| 1 |
+
{
|
| 2 |
+
"type": "depth_estimation",
|
| 3 |
+
"question": "What is the distance along the camera's viewing direction to the toilet paper holder (red point)? Calculate or judge based on the 3D center points of these objects. Answer in meters, number only.",
|
| 4 |
+
"answer": "1.42",
|
| 5 |
+
"camera_name": "rand_042",
|
| 6 |
+
"camera_position": [
|
| 7 |
+
-0.3256742734665065,
|
| 8 |
+
-0.15599647699682076,
|
| 9 |
+
0.3853044530250176
|
| 10 |
+
],
|
| 11 |
+
"camera_look_at": [
|
| 12 |
+
0.15517703028409224,
|
| 13 |
+
-1.3682388882963687,
|
| 14 |
+
-0.6335396522309629
|
| 15 |
+
],
|
| 16 |
+
"object": {
|
| 17 |
+
"label": "toilet paper holder",
|
| 18 |
+
"id": "toilet paper holder_0",
|
| 19 |
+
"centroid": [
|
| 20 |
+
-0.3883518576622009,
|
| 21 |
+
-1.321486473083496,
|
| 22 |
+
-0.5665600597858429
|
| 23 |
+
],
|
| 24 |
+
"depth": 1.42,
|
| 25 |
+
"width": 0.12451171875,
|
| 26 |
+
"length": 0.20538568496704102,
|
| 27 |
+
"height": 0.2185693383216858
|
| 28 |
+
},
|
| 29 |
+
"scene_id": "0212_txt_8b9056387bc8",
|
| 30 |
+
"layout_path": null,
|
| 31 |
+
"image_path": "question_image_9.jpg"
|
| 32 |
+
}
|
0212_txt_8b9056387bc8/tasks/001_depth_estimation/question_image_0.jpg
ADDED
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Git LFS Details
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0212_txt_8b9056387bc8/tasks/001_depth_estimation/question_image_1.jpg
ADDED
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Git LFS Details
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0212_txt_8b9056387bc8/tasks/001_depth_estimation/question_image_10.jpg
ADDED
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Git LFS Details
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0212_txt_8b9056387bc8/tasks/001_depth_estimation/question_image_11.jpg
ADDED
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Git LFS Details
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0212_txt_8b9056387bc8/tasks/001_depth_estimation/question_image_2.jpg
ADDED
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Git LFS Details
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0212_txt_8b9056387bc8/tasks/001_depth_estimation/question_image_3.jpg
ADDED
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Git LFS Details
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0212_txt_8b9056387bc8/tasks/001_depth_estimation/question_image_4.jpg
ADDED
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Git LFS Details
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0212_txt_8b9056387bc8/tasks/001_depth_estimation/question_image_5.jpg
ADDED
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Git LFS Details
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0212_txt_8b9056387bc8/tasks/001_depth_estimation/question_image_6.jpg
ADDED
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Git LFS Details
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0212_txt_8b9056387bc8/tasks/001_depth_estimation/question_image_7.jpg
ADDED
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Git LFS Details
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0212_txt_8b9056387bc8/tasks/001_depth_estimation/question_image_8.jpg
ADDED
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Git LFS Details
|
0212_txt_8b9056387bc8/tasks/001_depth_estimation/question_image_9.jpg
ADDED
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Git LFS Details
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0212_txt_8b9056387bc8/tasks/002_distance_estimation/question_image_0.jpg
ADDED
|
Git LFS Details
|
0212_txt_8b9056387bc8/tasks/002_distance_estimation/question_image_1.jpg
ADDED
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Git LFS Details
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0212_txt_8b9056387bc8/tasks/002_distance_estimation/question_image_10.jpg
ADDED
|
Git LFS Details
|
0212_txt_8b9056387bc8/tasks/002_distance_estimation/question_image_11.jpg
ADDED
|
Git LFS Details
|
0212_txt_8b9056387bc8/tasks/002_distance_estimation/question_image_2.jpg
ADDED
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Git LFS Details
|
0212_txt_8b9056387bc8/tasks/002_distance_estimation/question_image_3.jpg
ADDED
|
Git LFS Details
|
0212_txt_8b9056387bc8/tasks/002_distance_estimation/question_image_4.jpg
ADDED
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Git LFS Details
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0212_txt_8b9056387bc8/tasks/002_distance_estimation/question_image_5.jpg
ADDED
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Git LFS Details
|
0212_txt_8b9056387bc8/tasks/002_distance_estimation/question_image_6.jpg
ADDED
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Git LFS Details
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0212_txt_8b9056387bc8/tasks/002_distance_estimation/question_image_7.jpg
ADDED
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Git LFS Details
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0212_txt_8b9056387bc8/tasks/002_distance_estimation/question_image_8.jpg
ADDED
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Git LFS Details
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0212_txt_8b9056387bc8/tasks/002_distance_estimation/question_image_9.jpg
ADDED
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Git LFS Details
|
0212_txt_8b9056387bc8/tasks/003_object_distance/question_0.json
ADDED
|
@@ -0,0 +1,47 @@
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|
| 1 |
+
{
|
| 2 |
+
"type": "object_distance",
|
| 3 |
+
"question": "How far apart are toilet paper holder (blue point) and toilet (red point) in meters? Calculate or judge based on the 3D center points of these objects. Answer with a single number.",
|
| 4 |
+
"answer": "0.57",
|
| 5 |
+
"camera_name": "view_000",
|
| 6 |
+
"camera_position": [
|
| 7 |
+
-0.0,
|
| 8 |
+
-0.0,
|
| 9 |
+
0.0
|
| 10 |
+
],
|
| 11 |
+
"camera_look_at": [
|
| 12 |
+
0.0,
|
| 13 |
+
-9.659257888793945,
|
| 14 |
+
-2.5881905555725098
|
| 15 |
+
],
|
| 16 |
+
"blue": {
|
| 17 |
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