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- .gitattributes +7 -0
- 0189_txt_5c2e6986de03/meta/.cache_manifest.json +7 -0
- 0189_txt_5c2e6986de03/meta/camera_filter.json +3 -0
- 0189_txt_5c2e6986de03/meta/dimension_filter.json +3 -0
- 0189_txt_5c2e6986de03/meta/label_filter.json +3 -0
- 0189_txt_5c2e6986de03/meta/scene.json +0 -0
- 0189_txt_5c2e6986de03/meta/segmentation/filtered_objects_v3.json +18 -0
- 0189_txt_5c2e6986de03/meta/segmentation/instance_info.json +233 -0
- 0189_txt_5c2e6986de03/meta/segmentation/instance_masks/manifest.json +5 -0
- 0189_txt_5c2e6986de03/meta/segmentation/instance_masks/view_000_labels.json +1 -0
- 0189_txt_5c2e6986de03/meta/segmentation/instance_masks/view_001_labels.json +1 -0
- 0189_txt_5c2e6986de03/meta/segmentation/instance_masks/view_002_labels.json +1 -0
- 0189_txt_5c2e6986de03/meta/segmentation/instance_masks/view_003_labels.json +1 -0
- 0189_txt_5c2e6986de03/meta/segmentation/instance_masks/view_004_labels.json +1 -0
- 0189_txt_5c2e6986de03/meta/segmentation/instance_masks/view_005_labels.json +1 -0
- 0189_txt_5c2e6986de03/meta/segmentation/instance_masks/view_006_labels.json +1 -0
- 0189_txt_5c2e6986de03/meta/segmentation/instance_masks/view_007_labels.json +1 -0
- 0189_txt_5c2e6986de03/meta/segmentation/instance_masks/view_008_labels.json +1 -0
- 0189_txt_5c2e6986de03/meta/segmentation/instance_masks/view_009_labels.json +1 -0
- 0189_txt_5c2e6986de03/meta/segmentation/instance_masks/view_010_labels.json +1 -0
- 0189_txt_5c2e6986de03/meta/segmentation/instance_masks/view_011_labels.json +1 -0
- 0189_txt_5c2e6986de03/meta/segmentation/object_lists.json +157 -0
- 0189_txt_5c2e6986de03/meta/segmentation/postprocess.done +0 -0
- 0189_txt_5c2e6986de03/meta/segmentation/scene.json +319 -0
- 0189_txt_5c2e6986de03/meta/segmentation/views/cameras.json +614 -0
- 0189_txt_5c2e6986de03/meta/visibility.json +652 -0
- 0189_txt_5c2e6986de03/meta/world_full.json +41 -0
- 0189_txt_5c2e6986de03/meta/world_metadata.json +53 -0
- 0189_txt_5c2e6986de03/tasks/000_closest_object/question_0.json +51 -0
- 0189_txt_5c2e6986de03/tasks/000_closest_object/question_1.json +51 -0
- 0189_txt_5c2e6986de03/tasks/000_closest_object/question_image_0.jpg +3 -0
- 0189_txt_5c2e6986de03/tasks/000_closest_object/question_image_1.jpg +3 -0
- 0189_txt_5c2e6986de03/tasks/001_depth_estimation/question_0.json +32 -0
- 0189_txt_5c2e6986de03/tasks/001_depth_estimation/question_1.json +32 -0
- 0189_txt_5c2e6986de03/tasks/001_depth_estimation/question_2.json +32 -0
- 0189_txt_5c2e6986de03/tasks/001_depth_estimation/question_3.json +32 -0
- 0189_txt_5c2e6986de03/tasks/001_depth_estimation/question_4.json +32 -0
- 0189_txt_5c2e6986de03/tasks/001_depth_estimation/question_5.json +32 -0
- 0189_txt_5c2e6986de03/tasks/001_depth_estimation/question_6.json +32 -0
- 0189_txt_5c2e6986de03/tasks/001_depth_estimation/question_7.json +32 -0
- 0189_txt_5c2e6986de03/tasks/001_depth_estimation/question_8.json +32 -0
- 0189_txt_5c2e6986de03/tasks/001_depth_estimation/question_9.json +32 -0
- 0189_txt_5c2e6986de03/tasks/002_distance_estimation/question_image_0.jpg +3 -0
- 0189_txt_5c2e6986de03/tasks/002_distance_estimation/question_image_1.jpg +3 -0
- 0189_txt_5c2e6986de03/tasks/002_distance_estimation/question_image_2.jpg +3 -0
- 0189_txt_5c2e6986de03/tasks/002_distance_estimation/question_image_3.jpg +3 -0
- 0189_txt_5c2e6986de03/tasks/002_distance_estimation/question_image_4.jpg +3 -0
- 0189_txt_5c2e6986de03/tasks/002_distance_estimation/question_image_5.jpg +3 -0
- 0189_txt_5c2e6986de03/tasks/002_distance_estimation/question_image_6.jpg +3 -0
- 0189_txt_5c2e6986de03/tasks/002_distance_estimation/question_image_7.jpg +3 -0
.gitattributes
CHANGED
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@@ -212,3 +212,10 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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0217_txt_f73190b6154a/meta/scene.usd filter=lfs diff=lfs merge=lfs -text
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0217_txt_f73190b6154a/meta/splat_100k.spz filter=lfs diff=lfs merge=lfs -text
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0217_txt_f73190b6154a/meta/scene.usd filter=lfs diff=lfs merge=lfs -text
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0217_txt_f73190b6154a/meta/splat_100k.spz filter=lfs diff=lfs merge=lfs -text
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0217_txt_f73190b6154a/meta/splat_150k.spz filter=lfs diff=lfs merge=lfs -text
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0245_txt_ed04c0092873/meta/collider_mesh.glb filter=lfs diff=lfs merge=lfs -text
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0245_txt_ed04c0092873/meta/splat_500k.spz filter=lfs diff=lfs merge=lfs -text
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0245_txt_ed04c0092873/meta/splat_full_res.spz filter=lfs diff=lfs merge=lfs -text
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0245_txt_ed04c0092873/meta/scene.usd filter=lfs diff=lfs merge=lfs -text
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0245_txt_ed04c0092873/meta/splat_100k.spz filter=lfs diff=lfs merge=lfs -text
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0245_txt_ed04c0092873/meta/splat_150k.spz filter=lfs diff=lfs merge=lfs -text
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0245_txt_ed04c0092873/meta/scene.ply filter=lfs diff=lfs merge=lfs -text
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0189_txt_5c2e6986de03/meta/.cache_manifest.json
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{
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0189_txt_5c2e6986de03/meta/camera_filter.json
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0189_txt_5c2e6986de03/meta/dimension_filter.json
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0189_txt_5c2e6986de03/meta/label_filter.json
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0189_txt_5c2e6986de03/meta/scene.json
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0189_txt_5c2e6986de03/meta/segmentation/filtered_objects_v3.json
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0189_txt_5c2e6986de03/meta/segmentation/instance_info.json
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| 119 |
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0.3583984375,
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0.501220703125
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|
| 125 |
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|
| 126 |
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]
|
| 127 |
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},
|
| 128 |
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"7": {
|
| 129 |
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"instance_id": 7,
|
| 130 |
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"label": "microwave_0",
|
| 131 |
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"category": "microwave",
|
| 132 |
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"n_gaussians": 119553,
|
| 133 |
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|
| 134 |
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| 146 |
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|
| 147 |
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]
|
| 148 |
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},
|
| 149 |
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"9": {
|
| 150 |
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"instance_id": 9,
|
| 151 |
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"label": "pot_0",
|
| 152 |
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"category": "pot",
|
| 153 |
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"n_gaussians": 21457,
|
| 154 |
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"center": [
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| 155 |
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| 167 |
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| 168 |
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| 169 |
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},
|
| 170 |
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"10": {
|
| 171 |
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"instance_id": 10,
|
| 172 |
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"label": "table_0",
|
| 173 |
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"category": "table",
|
| 174 |
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"n_gaussians": 18127,
|
| 175 |
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"center": [
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| 176 |
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|
| 188 |
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|
| 189 |
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|
| 190 |
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},
|
| 191 |
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"11": {
|
| 192 |
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"instance_id": 11,
|
| 193 |
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"label": "bag_1",
|
| 194 |
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"category": "bag",
|
| 195 |
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"n_gaussians": 2266,
|
| 196 |
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"center": [
|
| 197 |
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| 199 |
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| 204 |
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| 205 |
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| 206 |
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"bbox_max": [
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|
| 209 |
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|
| 210 |
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]
|
| 211 |
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},
|
| 212 |
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"12": {
|
| 213 |
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"instance_id": 12,
|
| 214 |
+
"label": "box_1",
|
| 215 |
+
"category": "box",
|
| 216 |
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"n_gaussians": 2043,
|
| 217 |
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"center": [
|
| 218 |
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|
| 219 |
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|
| 220 |
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],
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"bbox_min": [
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|
| 225 |
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],
|
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"bbox_max": [
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|
| 229 |
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|
| 230 |
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|
| 231 |
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]
|
| 232 |
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}
|
| 233 |
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}
|
0189_txt_5c2e6986de03/meta/segmentation/instance_masks/manifest.json
ADDED
|
@@ -0,0 +1,5 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"filter_cache_version": 3,
|
| 3 |
+
"min_score": 0.35,
|
| 4 |
+
"object_names_sha1": "b520b9d78bfa3b79b625cee68adc7b002eb161ca"
|
| 5 |
+
}
|
0189_txt_5c2e6986de03/meta/segmentation/instance_masks/view_000_labels.json
ADDED
|
@@ -0,0 +1 @@
|
|
|
|
|
|
|
| 1 |
+
{"1": "base", "2": "box", "3": "countertop", "4": "drip tray", "5": "espresso machine", "6": "lid", "7": "lid", "8": "microwave", "9": "mug", "10": "pot", "11": "pot", "12": "table", "13": "trivet", "14": "trivet"}
|
0189_txt_5c2e6986de03/meta/segmentation/instance_masks/view_001_labels.json
ADDED
|
@@ -0,0 +1 @@
|
|
|
|
|
|
|
| 1 |
+
{"1": "base", "2": "countertop", "3": "drip tray", "4": "drip tray", "5": "espresso machine", "6": "lid", "7": "lid", "8": "mug", "9": "pot", "10": "potholder", "11": "table", "12": "trivet", "13": "trivet"}
|
0189_txt_5c2e6986de03/meta/segmentation/instance_masks/view_002_labels.json
ADDED
|
@@ -0,0 +1 @@
|
|
|
|
|
|
|
| 1 |
+
{"1": "countertop", "2": "lid", "3": "mug", "4": "pot", "5": "table"}
|
0189_txt_5c2e6986de03/meta/segmentation/instance_masks/view_003_labels.json
ADDED
|
@@ -0,0 +1 @@
|
|
|
|
|
|
|
| 1 |
+
{"1": "bag"}
|
0189_txt_5c2e6986de03/meta/segmentation/instance_masks/view_004_labels.json
ADDED
|
@@ -0,0 +1 @@
|
|
|
|
|
|
|
| 1 |
+
{"1": "bag", "2": "door"}
|
0189_txt_5c2e6986de03/meta/segmentation/instance_masks/view_005_labels.json
ADDED
|
@@ -0,0 +1 @@
|
|
|
|
|
|
|
| 1 |
+
{"1": "door"}
|
0189_txt_5c2e6986de03/meta/segmentation/instance_masks/view_006_labels.json
ADDED
|
@@ -0,0 +1 @@
|
|
|
|
|
|
|
| 1 |
+
{"1": "bag", "2": "door", "3": "potholder"}
|
0189_txt_5c2e6986de03/meta/segmentation/instance_masks/view_007_labels.json
ADDED
|
@@ -0,0 +1 @@
|
|
|
|
|
|
|
| 1 |
+
{"1": "door"}
|
0189_txt_5c2e6986de03/meta/segmentation/instance_masks/view_008_labels.json
ADDED
|
@@ -0,0 +1 @@
|
|
|
|
|
|
|
| 1 |
+
{"1": "table"}
|
0189_txt_5c2e6986de03/meta/segmentation/instance_masks/view_009_labels.json
ADDED
|
@@ -0,0 +1 @@
|
|
|
|
|
|
|
| 1 |
+
{"1": "box", "2": "cereal box", "3": "microwave", "4": "table"}
|
0189_txt_5c2e6986de03/meta/segmentation/instance_masks/view_010_labels.json
ADDED
|
@@ -0,0 +1 @@
|
|
|
|
|
|
|
| 1 |
+
{"1": "box", "2": "cereal box", "3": "microwave", "4": "table"}
|
0189_txt_5c2e6986de03/meta/segmentation/instance_masks/view_011_labels.json
ADDED
|
@@ -0,0 +1 @@
|
|
|
|
|
|
|
| 1 |
+
{"1": "box", "2": "cereal box", "3": "countertop", "4": "drip tray", "5": "espresso machine", "6": "lid", "7": "microwave", "8": "mug", "9": "table"}
|
0189_txt_5c2e6986de03/meta/segmentation/object_lists.json
ADDED
|
@@ -0,0 +1,157 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"caption_objects": [
|
| 3 |
+
"countertop",
|
| 4 |
+
"microwave",
|
| 5 |
+
"cereal box",
|
| 6 |
+
"mug",
|
| 7 |
+
"espresso machine",
|
| 8 |
+
"base",
|
| 9 |
+
"portafilter",
|
| 10 |
+
"lever",
|
| 11 |
+
"drip tray",
|
| 12 |
+
"pot",
|
| 13 |
+
"handle",
|
| 14 |
+
"lid",
|
| 15 |
+
"potholder",
|
| 16 |
+
"bag"
|
| 17 |
+
],
|
| 18 |
+
"view_objects": [
|
| 19 |
+
[
|
| 20 |
+
"pot",
|
| 21 |
+
"lid",
|
| 22 |
+
"handle",
|
| 23 |
+
"trivet",
|
| 24 |
+
"coffee machine",
|
| 25 |
+
"cup",
|
| 26 |
+
"milk frother",
|
| 27 |
+
"drip tray",
|
| 28 |
+
"microwave",
|
| 29 |
+
"box",
|
| 30 |
+
"cable"
|
| 31 |
+
],
|
| 32 |
+
[
|
| 33 |
+
"pot",
|
| 34 |
+
"lid",
|
| 35 |
+
"trivet",
|
| 36 |
+
"cup",
|
| 37 |
+
"coffee machine",
|
| 38 |
+
"milk frother",
|
| 39 |
+
"drip tray"
|
| 40 |
+
],
|
| 41 |
+
[
|
| 42 |
+
"pot",
|
| 43 |
+
"lid",
|
| 44 |
+
"handle",
|
| 45 |
+
"trivet",
|
| 46 |
+
"table",
|
| 47 |
+
"cup",
|
| 48 |
+
"bottle"
|
| 49 |
+
],
|
| 50 |
+
[
|
| 51 |
+
"light switch",
|
| 52 |
+
"table",
|
| 53 |
+
"quilted pad",
|
| 54 |
+
"bag"
|
| 55 |
+
],
|
| 56 |
+
[
|
| 57 |
+
"door",
|
| 58 |
+
"door frame",
|
| 59 |
+
"hinge",
|
| 60 |
+
"light switch",
|
| 61 |
+
"bottle"
|
| 62 |
+
],
|
| 63 |
+
[
|
| 64 |
+
"door",
|
| 65 |
+
"door handle",
|
| 66 |
+
"lock",
|
| 67 |
+
"hinge",
|
| 68 |
+
"baseboard"
|
| 69 |
+
],
|
| 70 |
+
[
|
| 71 |
+
"door",
|
| 72 |
+
"door handle",
|
| 73 |
+
"lock",
|
| 74 |
+
"hinge",
|
| 75 |
+
"bag",
|
| 76 |
+
"hook"
|
| 77 |
+
],
|
| 78 |
+
[
|
| 79 |
+
"bag",
|
| 80 |
+
"tote bag",
|
| 81 |
+
"door",
|
| 82 |
+
"door frame",
|
| 83 |
+
"door handle",
|
| 84 |
+
"baseboard"
|
| 85 |
+
],
|
| 86 |
+
[
|
| 87 |
+
"table",
|
| 88 |
+
"bag",
|
| 89 |
+
"hanger"
|
| 90 |
+
],
|
| 91 |
+
[
|
| 92 |
+
"microwave",
|
| 93 |
+
"table",
|
| 94 |
+
"sign",
|
| 95 |
+
"knob",
|
| 96 |
+
"display"
|
| 97 |
+
],
|
| 98 |
+
[
|
| 99 |
+
"microwave",
|
| 100 |
+
"box",
|
| 101 |
+
"dial",
|
| 102 |
+
"display",
|
| 103 |
+
"power cord"
|
| 104 |
+
],
|
| 105 |
+
[
|
| 106 |
+
"coffee machine",
|
| 107 |
+
"milk frother",
|
| 108 |
+
"mug",
|
| 109 |
+
"microwave",
|
| 110 |
+
"box",
|
| 111 |
+
"dial",
|
| 112 |
+
"button",
|
| 113 |
+
"power cord"
|
| 114 |
+
]
|
| 115 |
+
],
|
| 116 |
+
"merged_objects": [
|
| 117 |
+
"bag",
|
| 118 |
+
"base",
|
| 119 |
+
"baseboard",
|
| 120 |
+
"bottle",
|
| 121 |
+
"box",
|
| 122 |
+
"button",
|
| 123 |
+
"cable",
|
| 124 |
+
"cereal box",
|
| 125 |
+
"coffee machine",
|
| 126 |
+
"countertop",
|
| 127 |
+
"cup",
|
| 128 |
+
"dial",
|
| 129 |
+
"display",
|
| 130 |
+
"door",
|
| 131 |
+
"door frame",
|
| 132 |
+
"door handle",
|
| 133 |
+
"drip tray",
|
| 134 |
+
"espresso machine",
|
| 135 |
+
"handle",
|
| 136 |
+
"hanger",
|
| 137 |
+
"hinge",
|
| 138 |
+
"hook",
|
| 139 |
+
"knob",
|
| 140 |
+
"lever",
|
| 141 |
+
"lid",
|
| 142 |
+
"light switch",
|
| 143 |
+
"lock",
|
| 144 |
+
"microwave",
|
| 145 |
+
"milk frother",
|
| 146 |
+
"mug",
|
| 147 |
+
"portafilter",
|
| 148 |
+
"pot",
|
| 149 |
+
"potholder",
|
| 150 |
+
"power cord",
|
| 151 |
+
"quilted pad",
|
| 152 |
+
"sign",
|
| 153 |
+
"table",
|
| 154 |
+
"tote bag",
|
| 155 |
+
"trivet"
|
| 156 |
+
]
|
| 157 |
+
}
|
0189_txt_5c2e6986de03/meta/segmentation/postprocess.done
ADDED
|
File without changes
|
0189_txt_5c2e6986de03/meta/segmentation/scene.json
ADDED
|
@@ -0,0 +1,319 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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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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| 277 |
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| 278 |
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| 279 |
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| 280 |
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|
| 289 |
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| 290 |
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|
| 291 |
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| 292 |
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| 293 |
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|
| 319 |
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}
|
0189_txt_5c2e6986de03/meta/segmentation/views/cameras.json
ADDED
|
@@ -0,0 +1,614 @@
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| 1 |
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[
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| 2 |
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|
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0189_txt_5c2e6986de03/meta/visibility.json
ADDED
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@@ -0,0 +1,652 @@
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|
| 1 |
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{
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| 2 |
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| 3 |
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| 11 |
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| 12 |
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| 13 |
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| 15 |
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| 16 |
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| 18 |
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| 22 |
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| 31 |
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| 37 |
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0189_txt_5c2e6986de03/meta/world_full.json
ADDED
|
@@ -0,0 +1,41 @@
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|
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|
| 1 |
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|
| 3 |
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| 4 |
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| 5 |
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| 6 |
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| 8 |
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| 18 |
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| 19 |
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| 20 |
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| 21 |
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| 23 |
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| 24 |
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"thumbnail_url": "https://cdn.marble.worldlabs.ai/2d37da1c-2419-480c-9c96-a02f19132fbb/4714f27d-0bab-4bbc-b4cc-138aa23b51b9_sand_mpi/thumbnail.webp",
|
| 25 |
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|
| 26 |
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},
|
| 27 |
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"created_at": "2026-04-10T15:32:01Z",
|
| 28 |
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|
| 29 |
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|
| 30 |
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|
| 31 |
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|
| 32 |
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|
| 33 |
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|
| 34 |
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},
|
| 35 |
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"world_prompt": {
|
| 36 |
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"text_prompt": "The scene is a compact, cluttered kitchenette or dorm-style countertop space, captured in a realistic style with a warm, artificial lighting that creates a cozy yet slightly dim ambiance. The overall mood is utilitarian and domestic, reflecting everyday use and improvisation. A light oak or birch laminate countertop, approximately 3 feet wide and 1.5 feet deep with a smooth, slightly glossy finish, occupies the central foreground, supporting all visible objects. A standard countertop white microwave oven, roughly 20 inches wide by 12 inches high, made of matte white plastic with a dark glass door and control panel, is positioned on the right side of the counter, angled slightly toward the viewer. Two cardboard cereal boxes, one blue \"Ziploc\"-branded and one yellow, are stacked atop the microwave, both glossy and slightly askew. A cylindrical, glossy red ceramic mug with a white interior sits on a metallic espresso machine base, located center-left. A compact, silver and black espresso machine with a chrome portafilter and red lever is positioned in the center of the counter, its base dark gray plastic with a textured drip tray. A medium-sized stainless steel pot with a black plastic handle and lid rests on a quilted gray potholder on the left side of the counter, slightly tilted. Two gray, diamond-stitched fabric potholders with black trim, soft and slightly wrinkled, are placed under the pot and the espresso machine. Beneath the counter, a blue plastic bag and folded fabric are visible, indicating limited storage. The background consists of a plain off-white painted drywall, smooth and unadorned, forming the left boundary of the scene. The 360 scene is faultless.",
|
| 37 |
+
"type": "text"
|
| 38 |
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},
|
| 39 |
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"world_marble_url": "https://marble.worldlabs.ai/world/2d37da1c-2419-480c-9c96-a02f19132fbb",
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| 40 |
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"model": "marble-1.1"
|
| 41 |
+
}
|
0189_txt_5c2e6986de03/meta/world_metadata.json
ADDED
|
@@ -0,0 +1,53 @@
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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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|
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|
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|
| 1 |
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{
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"operation_id": "91cc1dd3-e38a-43e0-9cc5-07399dd87f96",
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| 4 |
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"updated_at": "2026-04-10T15:37:38Z",
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| 5 |
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"expires_at": "2026-04-10T18:32:02Z",
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| 6 |
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"done": true,
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| 7 |
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| 8 |
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"metadata": {
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| 9 |
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"progress": {
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| 10 |
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"status": "SUCCEEDED",
|
| 11 |
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"description": "World generation completed successfully"
|
| 12 |
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},
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| 13 |
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"world_id": "2d37da1c-2419-480c-9c96-a02f19132fbb"
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| 14 |
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| 15 |
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| 18 |
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| 19 |
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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/2d37da1c-2419-480c-9c96-a02f19132fbb/196bf7b1-f997-41aa-8c3c-aa1d373a76a0_panos/rgb_0.png"
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"spz_urls": {
|
| 28 |
+
"500k": "https://cdn.marble.worldlabs.ai/2d37da1c-2419-480c-9c96-a02f19132fbb/033355d2-7499-42be-9957-b510b60725f8_ceramic_500k.spz",
|
| 29 |
+
"100k": "https://cdn.marble.worldlabs.ai/2d37da1c-2419-480c-9c96-a02f19132fbb/48753c38-b079-40a5-b278-97325b6d4314_dust_100k.spz",
|
| 30 |
+
"150k": "https://cdn.marble.worldlabs.ai/2d37da1c-2419-480c-9c96-a02f19132fbb/1db7bf2f-2e86-493b-8610-af8c990c6101_ceramic_150k.spz",
|
| 31 |
+
"full_res": "https://cdn.marble.worldlabs.ai/2d37da1c-2419-480c-9c96-a02f19132fbb/fb7604d2-4438-4761-975e-d618877dffae_ceramic.spz"
|
| 32 |
+
},
|
| 33 |
+
"semantics_metadata": {
|
| 34 |
+
"metric_scale_factor": 0.3685969,
|
| 35 |
+
"ground_plane_offset": 0.97778285
|
| 36 |
+
}
|
| 37 |
+
},
|
| 38 |
+
"thumbnail_url": "https://cdn.marble.worldlabs.ai/2d37da1c-2419-480c-9c96-a02f19132fbb/4714f27d-0bab-4bbc-b4cc-138aa23b51b9_sand_mpi/thumbnail.webp",
|
| 39 |
+
"caption": "The scene is a compact, cluttered kitchenette or dorm-style countertop space, captured in a realistic style with a warm, artificial lighting that creates a cozy yet slightly dim ambiance. The overall mood is utilitarian and domestic, reflecting everyday use and improvisation. A light oak or birch laminate countertop, approximately 3 feet wide and 1.5 feet deep with a smooth, slightly glossy finish, occupies the central foreground, supporting all visible objects. A standard countertop white microwave oven, roughly 20 inches wide by 12 inches high, made of matte white plastic with a dark glass door and control panel, is positioned on the right side of the counter, angled slightly toward the viewer. Two cardboard cereal boxes, one blue \"Ziploc\"-branded and one yellow, are stacked atop the microwave, both glossy and slightly askew. A cylindrical, glossy red ceramic mug with a white interior sits on a metallic espresso machine base, located center-left. A compact, silver and black espresso machine with a chrome portafilter and red lever is positioned in the center of the counter, its base dark gray plastic with a textured drip tray. A medium-sized stainless steel pot with a black plastic handle and lid rests on a quilted gray potholder on the left side of the counter, slightly tilted. Two gray, diamond-stitched fabric potholders with black trim, soft and slightly wrinkled, are placed under the pot and the espresso machine. Beneath the counter, a blue plastic bag and folded fabric are visible, indicating limited storage. The background consists of a plain off-white painted drywall, smooth and unadorned, forming the left boundary of the scene. The 360 scene is faultless."
|
| 40 |
+
},
|
| 41 |
+
"created_at": null,
|
| 42 |
+
"updated_at": null,
|
| 43 |
+
"permission": {
|
| 44 |
+
"public": false,
|
| 45 |
+
"allowed_readers": [],
|
| 46 |
+
"allowed_writers": [],
|
| 47 |
+
"allow_id_access": false
|
| 48 |
+
},
|
| 49 |
+
"world_prompt": null,
|
| 50 |
+
"world_marble_url": "https://marble.worldlabs.ai/world/2d37da1c-2419-480c-9c96-a02f19132fbb",
|
| 51 |
+
"model": null
|
| 52 |
+
}
|
| 53 |
+
}
|
0189_txt_5c2e6986de03/tasks/000_closest_object/question_0.json
ADDED
|
@@ -0,0 +1,51 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"type": "closest_object",
|
| 3 |
+
"question": "Out of countertop (blue point) and trivet (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. countertop (blue point)",
|
| 6 |
+
"B. trivet (red point)"
|
| 7 |
+
],
|
| 8 |
+
"answer": "A",
|
| 9 |
+
"camera_name": "view_001",
|
| 10 |
+
"camera_position": [
|
| 11 |
+
-0.0,
|
| 12 |
+
-0.0,
|
| 13 |
+
0.0
|
| 14 |
+
],
|
| 15 |
+
"camera_look_at": [
|
| 16 |
+
4.829628944396973,
|
| 17 |
+
-8.36516284942627,
|
| 18 |
+
-2.5881905555725098
|
| 19 |
+
],
|
| 20 |
+
"blue": {
|
| 21 |
+
"circle_color": "blue",
|
| 22 |
+
"label": "countertop",
|
| 23 |
+
"id": "countertop_0",
|
| 24 |
+
"centroid": [
|
| 25 |
+
-0.054939381778240204,
|
| 26 |
+
-0.8063626885414124,
|
| 27 |
+
-0.16357421875
|
| 28 |
+
],
|
| 29 |
+
"distance_to_camera": 0.8246184852291287,
|
| 30 |
+
"width": 1.957763671875,
|
| 31 |
+
"length": 0.8935546875,
|
| 32 |
+
"height": 0.8564453125
|
| 33 |
+
},
|
| 34 |
+
"red": {
|
| 35 |
+
"circle_color": "red",
|
| 36 |
+
"label": "trivet",
|
| 37 |
+
"id": "trivet_0",
|
| 38 |
+
"centroid": [
|
| 39 |
+
0.9240515828132629,
|
| 40 |
+
-0.9906067848205566,
|
| 41 |
+
-0.505859375
|
| 42 |
+
],
|
| 43 |
+
"distance_to_camera": 1.446052155735611,
|
| 44 |
+
"width": 0.7814698219299316,
|
| 45 |
+
"length": 1.1378908157348633,
|
| 46 |
+
"height": 0.111328125
|
| 47 |
+
},
|
| 48 |
+
"scene_id": "0189_txt_5c2e6986de03",
|
| 49 |
+
"layout_path": null,
|
| 50 |
+
"image_path": "question_image_0.jpg"
|
| 51 |
+
}
|
0189_txt_5c2e6986de03/tasks/000_closest_object/question_1.json
ADDED
|
@@ -0,0 +1,51 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"type": "closest_object",
|
| 3 |
+
"question": "Of countertop (blue point) and trivet (red point), which is positioned closer to the camera? Calculate or judge based on the 3D center points of these objects. Select your answer from the choices.",
|
| 4 |
+
"choices": [
|
| 5 |
+
"A. countertop (blue point)",
|
| 6 |
+
"B. trivet (red point)"
|
| 7 |
+
],
|
| 8 |
+
"answer": "A",
|
| 9 |
+
"camera_name": "view_000",
|
| 10 |
+
"camera_position": [
|
| 11 |
+
-0.0,
|
| 12 |
+
-0.0,
|
| 13 |
+
0.0
|
| 14 |
+
],
|
| 15 |
+
"camera_look_at": [
|
| 16 |
+
0.0,
|
| 17 |
+
-9.659257888793945,
|
| 18 |
+
-2.5881905555725098
|
| 19 |
+
],
|
| 20 |
+
"blue": {
|
| 21 |
+
"circle_color": "blue",
|
| 22 |
+
"label": "countertop",
|
| 23 |
+
"id": "countertop_0",
|
| 24 |
+
"centroid": [
|
| 25 |
+
-0.054939381778240204,
|
| 26 |
+
-0.8063626885414124,
|
| 27 |
+
-0.16357421875
|
| 28 |
+
],
|
| 29 |
+
"distance_to_camera": 0.8246184852291287,
|
| 30 |
+
"width": 1.957763671875,
|
| 31 |
+
"length": 0.8935546875,
|
| 32 |
+
"height": 0.8564453125
|
| 33 |
+
},
|
| 34 |
+
"red": {
|
| 35 |
+
"circle_color": "red",
|
| 36 |
+
"label": "trivet",
|
| 37 |
+
"id": "trivet_0",
|
| 38 |
+
"centroid": [
|
| 39 |
+
0.9240515828132629,
|
| 40 |
+
-0.9906067848205566,
|
| 41 |
+
-0.505859375
|
| 42 |
+
],
|
| 43 |
+
"distance_to_camera": 1.446052155735611,
|
| 44 |
+
"width": 0.7814698219299316,
|
| 45 |
+
"length": 1.1378908157348633,
|
| 46 |
+
"height": 0.111328125
|
| 47 |
+
},
|
| 48 |
+
"scene_id": "0189_txt_5c2e6986de03",
|
| 49 |
+
"layout_path": null,
|
| 50 |
+
"image_path": "question_image_1.jpg"
|
| 51 |
+
}
|
0189_txt_5c2e6986de03/tasks/000_closest_object/question_image_0.jpg
ADDED
|
Git LFS Details
|
0189_txt_5c2e6986de03/tasks/000_closest_object/question_image_1.jpg
ADDED
|
Git LFS Details
|
0189_txt_5c2e6986de03/tasks/001_depth_estimation/question_0.json
ADDED
|
@@ -0,0 +1,32 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"type": "depth_estimation",
|
| 3 |
+
"question": "What is the depth of the bag (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": "1.26",
|
| 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": "bag",
|
| 18 |
+
"id": "bag_0",
|
| 19 |
+
"centroid": [
|
| 20 |
+
-0.6469674110412598,
|
| 21 |
+
1.3444938659667969,
|
| 22 |
+
0.1663183569908142
|
| 23 |
+
],
|
| 24 |
+
"depth": 1.26,
|
| 25 |
+
"width": 0.1577734351158142,
|
| 26 |
+
"length": 0.45165038108825684,
|
| 27 |
+
"height": 0.39720702171325684
|
| 28 |
+
},
|
| 29 |
+
"scene_id": "0189_txt_5c2e6986de03",
|
| 30 |
+
"layout_path": null,
|
| 31 |
+
"image_path": "question_image_0.jpg"
|
| 32 |
+
}
|
0189_txt_5c2e6986de03/tasks/001_depth_estimation/question_1.json
ADDED
|
@@ -0,0 +1,32 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"type": "depth_estimation",
|
| 3 |
+
"question": "Estimate the depth in meters of the bag (red point). Calculate or judge based on the 3D center points of these objects. Respond with only a number.",
|
| 4 |
+
"answer": "1.15",
|
| 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": "bag",
|
| 18 |
+
"id": "bag_0",
|
| 19 |
+
"centroid": [
|
| 20 |
+
-0.6469674110412598,
|
| 21 |
+
1.3444938659667969,
|
| 22 |
+
0.1663183569908142
|
| 23 |
+
],
|
| 24 |
+
"depth": 1.15,
|
| 25 |
+
"width": 0.1577734351158142,
|
| 26 |
+
"length": 0.45165038108825684,
|
| 27 |
+
"height": 0.39720702171325684
|
| 28 |
+
},
|
| 29 |
+
"scene_id": "0189_txt_5c2e6986de03",
|
| 30 |
+
"layout_path": null,
|
| 31 |
+
"image_path": "question_image_1.jpg"
|
| 32 |
+
}
|
0189_txt_5c2e6986de03/tasks/001_depth_estimation/question_2.json
ADDED
|
@@ -0,0 +1,32 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"type": "depth_estimation",
|
| 3 |
+
"question": "What depth value in meters corresponds to the countertop (red point)? Calculate or judge based on the 3D center points of these objects. Answer with a number only.",
|
| 4 |
+
"answer": "0.82",
|
| 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 |
+
"object": {
|
| 17 |
+
"label": "countertop",
|
| 18 |
+
"id": "countertop_0",
|
| 19 |
+
"centroid": [
|
| 20 |
+
-0.054939381778240204,
|
| 21 |
+
-0.8063626885414124,
|
| 22 |
+
-0.16357421875
|
| 23 |
+
],
|
| 24 |
+
"depth": 0.82,
|
| 25 |
+
"width": 1.957763671875,
|
| 26 |
+
"length": 0.8935546875,
|
| 27 |
+
"height": 0.8564453125
|
| 28 |
+
},
|
| 29 |
+
"scene_id": "0189_txt_5c2e6986de03",
|
| 30 |
+
"layout_path": null,
|
| 31 |
+
"image_path": "question_image_2.jpg"
|
| 32 |
+
}
|
0189_txt_5c2e6986de03/tasks/001_depth_estimation/question_3.json
ADDED
|
@@ -0,0 +1,32 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"type": "depth_estimation",
|
| 3 |
+
"question": "Calculate the depth of the countertop (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": "0.74",
|
| 5 |
+
"camera_name": "view_011",
|
| 6 |
+
"camera_position": [
|
| 7 |
+
-0.0,
|
| 8 |
+
-0.0,
|
| 9 |
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0.0
|
| 10 |
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],
|
| 11 |
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"camera_look_at": [
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| 12 |
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| 13 |
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| 14 |
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| 15 |
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],
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| 16 |
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"object": {
|
| 17 |
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"label": "countertop",
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| 18 |
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"id": "countertop_0",
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| 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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],
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| 24 |
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"depth": 0.74,
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| 25 |
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"width": 1.957763671875,
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| 26 |
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"length": 0.8935546875,
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| 27 |
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"height": 0.8564453125
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| 28 |
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},
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| 29 |
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"scene_id": "0189_txt_5c2e6986de03",
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| 30 |
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"layout_path": null,
|
| 31 |
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"image_path": "question_image_3.jpg"
|
| 32 |
+
}
|
0189_txt_5c2e6986de03/tasks/001_depth_estimation/question_4.json
ADDED
|
@@ -0,0 +1,32 @@
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|
|
|
|
| 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": "0.75",
|
| 5 |
+
"camera_name": "view_011",
|
| 6 |
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"camera_position": [
|
| 7 |
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-0.0,
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| 8 |
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| 9 |
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0.0
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| 10 |
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],
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| 11 |
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"camera_look_at": [
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| 12 |
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| 14 |
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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": "table",
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| 18 |
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"id": "table_0",
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| 19 |
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"centroid": [
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| 20 |
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| 21 |
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| 22 |
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| 23 |
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],
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| 24 |
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"depth": 0.75,
|
| 25 |
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"width": 0.927001953125,
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| 26 |
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"length": 1.096923828125,
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| 27 |
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"height": 0.02490234375
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| 28 |
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},
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| 29 |
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"scene_id": "0189_txt_5c2e6986de03",
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| 30 |
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"layout_path": null,
|
| 31 |
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"image_path": "question_image_4.jpg"
|
| 32 |
+
}
|
0189_txt_5c2e6986de03/tasks/001_depth_estimation/question_5.json
ADDED
|
@@ -0,0 +1,32 @@
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|
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|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"type": "depth_estimation",
|
| 3 |
+
"question": "Determine the depth of the mug (red point) in meters. Calculate or judge based on the 3D center points of these objects. Provide a single numerical answer.",
|
| 4 |
+
"answer": "1.38",
|
| 5 |
+
"camera_name": "view_001",
|
| 6 |
+
"camera_position": [
|
| 7 |
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-0.0,
|
| 8 |
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-0.0,
|
| 9 |
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0.0
|
| 10 |
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],
|
| 11 |
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"camera_look_at": [
|
| 12 |
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4.829628944396973,
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| 13 |
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|
| 14 |
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-2.5881905555725098
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| 15 |
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],
|
| 16 |
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"object": {
|
| 17 |
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"label": "mug",
|
| 18 |
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"id": "mug_0",
|
| 19 |
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"centroid": [
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| 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": 0.25211915373802185,
|
| 26 |
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"length": 0.22453129291534424,
|
| 27 |
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"height": 0.3076171875
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| 28 |
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},
|
| 29 |
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"scene_id": "0189_txt_5c2e6986de03",
|
| 30 |
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"layout_path": null,
|
| 31 |
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"image_path": "question_image_5.jpg"
|
| 32 |
+
}
|
0189_txt_5c2e6986de03/tasks/001_depth_estimation/question_6.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": "Calculate the depth of the table (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": "0.84",
|
| 5 |
+
"camera_name": "view_010",
|
| 6 |
+
"camera_position": [
|
| 7 |
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-0.0,
|
| 8 |
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-0.0,
|
| 9 |
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0.0
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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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-2.5881905555725098
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| 15 |
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],
|
| 16 |
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"object": {
|
| 17 |
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"label": "table",
|
| 18 |
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"id": "table_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": 0.84,
|
| 25 |
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"width": 0.927001953125,
|
| 26 |
+
"length": 1.096923828125,
|
| 27 |
+
"height": 0.02490234375
|
| 28 |
+
},
|
| 29 |
+
"scene_id": "0189_txt_5c2e6986de03",
|
| 30 |
+
"layout_path": null,
|
| 31 |
+
"image_path": "question_image_6.jpg"
|
| 32 |
+
}
|
0189_txt_5c2e6986de03/tasks/001_depth_estimation/question_7.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": "Report the depth of the trivet (red point) in meters. Calculate or judge based on the 3D center points of these objects. Provide only the numerical value.",
|
| 4 |
+
"answer": "1.41",
|
| 5 |
+
"camera_name": "view_001",
|
| 6 |
+
"camera_position": [
|
| 7 |
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-0.0,
|
| 8 |
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-0.0,
|
| 9 |
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0.0
|
| 10 |
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],
|
| 11 |
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"camera_look_at": [
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| 12 |
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| 13 |
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|
| 14 |
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-2.5881905555725098
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| 15 |
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],
|
| 16 |
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"object": {
|
| 17 |
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"label": "trivet",
|
| 18 |
+
"id": "trivet_0",
|
| 19 |
+
"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": 1.41,
|
| 25 |
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"width": 0.7814698219299316,
|
| 26 |
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"length": 1.1378908157348633,
|
| 27 |
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"height": 0.111328125
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| 28 |
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},
|
| 29 |
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"scene_id": "0189_txt_5c2e6986de03",
|
| 30 |
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"layout_path": null,
|
| 31 |
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"image_path": "question_image_7.jpg"
|
| 32 |
+
}
|
0189_txt_5c2e6986de03/tasks/001_depth_estimation/question_8.json
ADDED
|
@@ -0,0 +1,32 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"type": "depth_estimation",
|
| 3 |
+
"question": "Estimate the depth in meters of the trivet (red point). Calculate or judge based on the 3D center points of these objects. Respond with only a number.",
|
| 4 |
+
"answer": "1.41",
|
| 5 |
+
"camera_name": "view_001",
|
| 6 |
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"camera_position": [
|
| 7 |
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-0.0,
|
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],
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|
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],
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| 16 |
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"object": {
|
| 17 |
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"label": "trivet",
|
| 18 |
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"id": "trivet_0",
|
| 19 |
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"centroid": [
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],
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"depth": 1.41,
|
| 25 |
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"width": 0.7814698219299316,
|
| 26 |
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"length": 1.1378908157348633,
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| 27 |
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"height": 0.111328125
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},
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| 29 |
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"scene_id": "0189_txt_5c2e6986de03",
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| 30 |
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"layout_path": null,
|
| 31 |
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"image_path": "question_image_8.jpg"
|
| 32 |
+
}
|
0189_txt_5c2e6986de03/tasks/001_depth_estimation/question_9.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 mug (red point). Calculate or judge based on the 3D center points of these objects. Respond with only a number.",
|
| 4 |
+
"answer": "1.38",
|
| 5 |
+
"camera_name": "view_001",
|
| 6 |
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"camera_position": [
|
| 7 |
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-0.0,
|
| 8 |
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0.0
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],
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"camera_look_at": [
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|
| 14 |
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-2.5881905555725098
|
| 15 |
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],
|
| 16 |
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"object": {
|
| 17 |
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"label": "mug",
|
| 18 |
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"id": "mug_0",
|
| 19 |
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"centroid": [
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| 20 |
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|
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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": 0.25211915373802185,
|
| 26 |
+
"length": 0.22453129291534424,
|
| 27 |
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"height": 0.3076171875
|
| 28 |
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},
|
| 29 |
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"scene_id": "0189_txt_5c2e6986de03",
|
| 30 |
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"layout_path": null,
|
| 31 |
+
"image_path": "question_image_9.jpg"
|
| 32 |
+
}
|
0189_txt_5c2e6986de03/tasks/002_distance_estimation/question_image_0.jpg
ADDED
|
Git LFS Details
|
0189_txt_5c2e6986de03/tasks/002_distance_estimation/question_image_1.jpg
ADDED
|
Git LFS Details
|
0189_txt_5c2e6986de03/tasks/002_distance_estimation/question_image_2.jpg
ADDED
|
Git LFS Details
|
0189_txt_5c2e6986de03/tasks/002_distance_estimation/question_image_3.jpg
ADDED
|
Git LFS Details
|
0189_txt_5c2e6986de03/tasks/002_distance_estimation/question_image_4.jpg
ADDED
|
Git LFS Details
|
0189_txt_5c2e6986de03/tasks/002_distance_estimation/question_image_5.jpg
ADDED
|
Git LFS Details
|
0189_txt_5c2e6986de03/tasks/002_distance_estimation/question_image_6.jpg
ADDED
|
Git LFS Details
|
0189_txt_5c2e6986de03/tasks/002_distance_estimation/question_image_7.jpg
ADDED
|
Git LFS Details
|