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Browse filesThis view is limited to 50 files because it contains too many changes. See raw diff
- 0191_txt_6b98c5e19b09/meta/.cache_manifest.json +7 -0
- 0191_txt_6b98c5e19b09/meta/camera_filter.json +19 -0
- 0191_txt_6b98c5e19b09/meta/dimension_filter.json +3 -0
- 0191_txt_6b98c5e19b09/meta/label_filter.json +7 -0
- 0191_txt_6b98c5e19b09/meta/scene.json +0 -0
- 0191_txt_6b98c5e19b09/meta/visibility.json +674 -0
- 0191_txt_6b98c5e19b09/meta/world_full.json +41 -0
- 0191_txt_6b98c5e19b09/meta/world_metadata.json +53 -0
- 0191_txt_6b98c5e19b09/tasks/000_closest_object/question_0.json +51 -0
- 0191_txt_6b98c5e19b09/tasks/000_closest_object/question_1.json +51 -0
- 0191_txt_6b98c5e19b09/tasks/000_closest_object/question_2.json +51 -0
- 0191_txt_6b98c5e19b09/tasks/001_depth_estimation/question_0.json +32 -0
- 0191_txt_6b98c5e19b09/tasks/001_depth_estimation/question_1.json +32 -0
- 0191_txt_6b98c5e19b09/tasks/001_depth_estimation/question_2.json +32 -0
- 0191_txt_6b98c5e19b09/tasks/001_depth_estimation/question_3.json +32 -0
- 0191_txt_6b98c5e19b09/tasks/001_depth_estimation/question_4.json +32 -0
- 0191_txt_6b98c5e19b09/tasks/001_depth_estimation/question_5.json +32 -0
- 0191_txt_6b98c5e19b09/tasks/001_depth_estimation/question_6.json +32 -0
- 0191_txt_6b98c5e19b09/tasks/001_depth_estimation/question_7.json +32 -0
- 0191_txt_6b98c5e19b09/tasks/002_distance_estimation/question_0.json +32 -0
- 0191_txt_6b98c5e19b09/tasks/002_distance_estimation/question_1.json +32 -0
- 0191_txt_6b98c5e19b09/tasks/002_distance_estimation/question_2.json +32 -0
- 0191_txt_6b98c5e19b09/tasks/002_distance_estimation/question_3.json +32 -0
- 0191_txt_6b98c5e19b09/tasks/002_distance_estimation/question_4.json +32 -0
- 0191_txt_6b98c5e19b09/tasks/002_distance_estimation/question_5.json +32 -0
- 0191_txt_6b98c5e19b09/tasks/002_distance_estimation/question_6.json +32 -0
- 0191_txt_6b98c5e19b09/tasks/002_distance_estimation/question_7.json +32 -0
- 0191_txt_6b98c5e19b09/tasks/003_object_distance/question_0.json +47 -0
- 0191_txt_6b98c5e19b09/tasks/003_object_distance/question_1.json +47 -0
- 0191_txt_6b98c5e19b09/tasks/003_object_distance/question_2.json +47 -0
- 0191_txt_6b98c5e19b09/tasks/004_relative_direction/question_image_0.jpg +3 -0
- 0191_txt_6b98c5e19b09/tasks/004_relative_direction/question_image_1.jpg +3 -0
- 0191_txt_6b98c5e19b09/tasks/004_relative_direction/question_image_2.jpg +3 -0
- 0191_txt_6b98c5e19b09/tasks/005_camera_object_position/question_0.json +39 -0
- 0191_txt_6b98c5e19b09/tasks/005_camera_object_position/question_1.json +39 -0
- 0191_txt_6b98c5e19b09/tasks/005_camera_object_position/question_2.json +39 -0
- 0191_txt_6b98c5e19b09/tasks/005_camera_object_position/question_3.json +39 -0
- 0191_txt_6b98c5e19b09/tasks/005_camera_object_position/question_4.json +39 -0
- 0191_txt_6b98c5e19b09/tasks/005_camera_object_position/question_5.json +39 -0
- 0191_txt_6b98c5e19b09/tasks/005_camera_object_position/question_6.json +39 -0
- 0191_txt_6b98c5e19b09/tasks/005_camera_object_position/question_7.json +39 -0
- 0191_txt_6b98c5e19b09/tasks/007_object_size/question_0.json +31 -0
- 0191_txt_6b98c5e19b09/tasks/007_object_size/question_1.json +31 -0
- 0191_txt_6b98c5e19b09/tasks/007_object_size/question_2.json +31 -0
- 0191_txt_6b98c5e19b09/tasks/007_object_size/question_3.json +31 -0
- 0191_txt_6b98c5e19b09/tasks/007_object_size/question_4.json +31 -0
- 0191_txt_6b98c5e19b09/tasks/007_object_size/question_5.json +31 -0
- 0191_txt_6b98c5e19b09/tasks/007_object_size/question_6.json +31 -0
- 0191_txt_6b98c5e19b09/tasks/007_object_size/question_7.json +31 -0
- 0191_txt_6b98c5e19b09/tasks/007_object_size/question_8.json +31 -0
0191_txt_6b98c5e19b09/meta/.cache_manifest.json
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{
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"cache_key": "6b98c5e19b09f4c1_marble-1.1_None",
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"world_id": "d44db128-fdc3-4652-966b-ff0b60ac0b08",
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"operation_id": "b87c676e-644f-41d0-9f33-9d859d1f63d1",
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"assets_downloaded": true,
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"usd_converted": true
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}
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0191_txt_6b98c5e19b09/meta/camera_filter.json
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{
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"rejected": [
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"rand_007",
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"rand_008",
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"rand_015",
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"rand_018",
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"rand_021",
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"rand_024",
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"rand_025",
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"rand_034",
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"rand_037",
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"rand_040",
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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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"rand_059"
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]
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}
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0191_txt_6b98c5e19b09/meta/dimension_filter.json
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{
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"excluded": []
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}
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0191_txt_6b98c5e19b09/meta/label_filter.json
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{
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"excluded": [
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"artwork_0",
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"bench_0",
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"bench_10"
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]
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}
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0191_txt_6b98c5e19b09/meta/scene.json
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The diff for this file is too large to render.
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0191_txt_6b98c5e19b09/meta/visibility.json
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@@ -0,0 +1,674 @@
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| 1 |
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|
| 628 |
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| 629 |
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|
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|
| 631 |
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|
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|
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| 635 |
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|
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| 637 |
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| 638 |
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| 639 |
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|
| 640 |
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| 641 |
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|
| 642 |
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| 643 |
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|
| 644 |
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],
|
| 645 |
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|
| 646 |
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|
| 647 |
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"table_0"
|
| 648 |
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],
|
| 649 |
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"view_011_step_left": [
|
| 650 |
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"backpack_0"
|
| 651 |
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],
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| 652 |
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"view_011_step_pitch_down": [
|
| 653 |
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"table_0"
|
| 654 |
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|
| 655 |
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"view_011_step_pitch_up": [
|
| 656 |
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"backpack_0",
|
| 657 |
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"table_0"
|
| 658 |
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],
|
| 659 |
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"view_011_step_right": [
|
| 660 |
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"backpack_0",
|
| 661 |
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"table_0"
|
| 662 |
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|
| 663 |
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|
| 664 |
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"backpack_0",
|
| 665 |
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"table_0"
|
| 666 |
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|
| 667 |
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"view_011_step_yaw_left": [
|
| 668 |
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"backpack_0"
|
| 669 |
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|
| 670 |
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|
| 671 |
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|
| 672 |
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"table_0"
|
| 673 |
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]
|
| 674 |
+
}
|
0191_txt_6b98c5e19b09/meta/world_full.json
ADDED
|
@@ -0,0 +1,41 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"world_id": "d44db128-fdc3-4652-966b-ff0b60ac0b08",
|
| 3 |
+
"display_name": "This is a compact, utilitarian corner bo",
|
| 4 |
+
"tags": null,
|
| 5 |
+
"assets": {
|
| 6 |
+
"mesh": {
|
| 7 |
+
"collider_mesh_url": "https://cdn.marble.worldlabs.ai/d44db128-fdc3-4652-966b-ff0b60ac0b08/f63bbbb6.glb"
|
| 8 |
+
},
|
| 9 |
+
"imagery": {
|
| 10 |
+
"pano_url": "https://cdn.marble.worldlabs.ai/d44db128-fdc3-4652-966b-ff0b60ac0b08/1cf9e560-0cfb-41ed-9ec8-cdfc97c08fba_panos/rgb_0.png"
|
| 11 |
+
},
|
| 12 |
+
"splats": {
|
| 13 |
+
"spz_urls": {
|
| 14 |
+
"500k": "https://cdn.marble.worldlabs.ai/d44db128-fdc3-4652-966b-ff0b60ac0b08/5c32559b-9809-4a8d-8ead-d6052b82c3c1_ceramic_500k.spz",
|
| 15 |
+
"100k": "https://cdn.marble.worldlabs.ai/d44db128-fdc3-4652-966b-ff0b60ac0b08/9b6f910d-c20f-497c-8ad2-85de6edbbfbf_dust_100k.spz",
|
| 16 |
+
"150k": "https://cdn.marble.worldlabs.ai/d44db128-fdc3-4652-966b-ff0b60ac0b08/f85d015f-539c-4b04-8d0d-d04db9d3833a_ceramic_150k.spz",
|
| 17 |
+
"full_res": "https://cdn.marble.worldlabs.ai/d44db128-fdc3-4652-966b-ff0b60ac0b08/47383593-1e53-4ac6-ad50-753b44cdf3e3_ceramic.spz"
|
| 18 |
+
},
|
| 19 |
+
"semantics_metadata": {
|
| 20 |
+
"metric_scale_factor": 0.5809282064437866,
|
| 21 |
+
"ground_plane_offset": 1.271254539489746
|
| 22 |
+
}
|
| 23 |
+
},
|
| 24 |
+
"thumbnail_url": "https://cdn.marble.worldlabs.ai/d44db128-fdc3-4652-966b-ff0b60ac0b08/83994a63-719f-4283-8c4b-f97f2e94e4b2_sand_mpi/thumbnail.webp",
|
| 25 |
+
"caption": "The scene is a compact, utilitarian corner booth area, captured in a realistic style, evoking a quiet, mundane, and slightly institutional atmosphere. The overall tone is functional and space-efficient, with minimal decoration and a focus on seating and surface area. The space is defined by two perpendicular walls meeting at a right angle, with a built-in L-shaped upholstered bench occupying the corner. A square laminate table with a single central metal pedestal leg is positioned centrally within the L-shaped booth. The booth\u2019s upholstery is a dark teal or deep blue fabric with a repeating circular pattern in muted gold and green tones; the seat cushions appear slightly worn. A framed rectangular artwork, with a black frame, depicting a stylized silhouette of an animal against a turquoise and multicolored background, is hung on the left wall, above the booth\u2019s left armrest. A white plastic duplex receptacle is mounted on the right wall, approximately 18 inches above the floor, with a white electrical cord extending downward from it. A dark gray or black fabric backpack, partially collapsed, rests on the floor in the bottom-right corner, near the wall and power outlet. The walls are painted a flat, matte off-white, possibly concrete block or drywall, with a slightly textured finish. The flooring is a light beige or tan linoleum or vinyl tile, showing minor scuffing. The table surface is a light gray or off-white laminate with a smooth, slightly glossy finish. "
|
| 26 |
+
},
|
| 27 |
+
"created_at": "2026-04-10T15:43:15Z",
|
| 28 |
+
"updated_at": "2026-04-10T15:48:41Z",
|
| 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 compact, utilitarian corner booth area, captured in a realistic style, evoking a quiet, mundane, and slightly institutional atmosphere. The overall tone is functional and space-efficient, with minimal decoration and a focus on seating and surface area. The space is defined by two perpendicular walls meeting at a right angle, with a built-in L-shaped upholstered bench occupying the corner. A square laminate table with a single central metal pedestal leg is positioned centrally within the L-shaped booth. The booth\u2019s upholstery is a dark teal or deep blue fabric with a repeating circular pattern in muted gold and green tones; the seat cushions appear slightly worn. A framed rectangular artwork, with a black frame, depicting a stylized silhouette of an animal against a turquoise and multicolored background, is hung on the left wall, above the booth\u2019s left armrest. A white plastic duplex receptacle is mounted on the right wall, approximately 18 inches above the floor, with a white electrical cord extending downward from it. A dark gray or black fabric backpack, partially collapsed, rests on the floor in the bottom-right corner, near the wall and power outlet. The walls are painted a flat, matte off-white, possibly concrete block or drywall, with a slightly textured finish. The flooring is a light beige or tan linoleum or vinyl tile, showing minor scuffing. The table surface is a light gray or off-white laminate with a smooth, slightly glossy finish. The 360 scene is faultless.",
|
| 37 |
+
"type": "text"
|
| 38 |
+
},
|
| 39 |
+
"world_marble_url": "https://marble.worldlabs.ai/world/d44db128-fdc3-4652-966b-ff0b60ac0b08",
|
| 40 |
+
"model": "marble-1.1"
|
| 41 |
+
}
|
0191_txt_6b98c5e19b09/meta/world_metadata.json
ADDED
|
@@ -0,0 +1,53 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"operation_id": "b87c676e-644f-41d0-9f33-9d859d1f63d1",
|
| 3 |
+
"created_at": "2026-04-10T15:43:16Z",
|
| 4 |
+
"updated_at": "2026-04-10T15:48:41Z",
|
| 5 |
+
"expires_at": "2026-04-10T18:43:16Z",
|
| 6 |
+
"done": true,
|
| 7 |
+
"error": null,
|
| 8 |
+
"metadata": {
|
| 9 |
+
"progress": {
|
| 10 |
+
"status": "SUCCEEDED",
|
| 11 |
+
"description": "World generation completed successfully"
|
| 12 |
+
},
|
| 13 |
+
"world_id": "d44db128-fdc3-4652-966b-ff0b60ac0b08"
|
| 14 |
+
},
|
| 15 |
+
"response": {
|
| 16 |
+
"world_id": "d44db128-fdc3-4652-966b-ff0b60ac0b08",
|
| 17 |
+
"display_name": "",
|
| 18 |
+
"tags": null,
|
| 19 |
+
"assets": {
|
| 20 |
+
"mesh": {
|
| 21 |
+
"collider_mesh_url": "https://cdn.marble.worldlabs.ai/d44db128-fdc3-4652-966b-ff0b60ac0b08/f63bbbb6.glb"
|
| 22 |
+
},
|
| 23 |
+
"imagery": {
|
| 24 |
+
"pano_url": "https://cdn.marble.worldlabs.ai/d44db128-fdc3-4652-966b-ff0b60ac0b08/1cf9e560-0cfb-41ed-9ec8-cdfc97c08fba_panos/rgb_0.png"
|
| 25 |
+
},
|
| 26 |
+
"splats": {
|
| 27 |
+
"spz_urls": {
|
| 28 |
+
"500k": "https://cdn.marble.worldlabs.ai/d44db128-fdc3-4652-966b-ff0b60ac0b08/5c32559b-9809-4a8d-8ead-d6052b82c3c1_ceramic_500k.spz",
|
| 29 |
+
"100k": "https://cdn.marble.worldlabs.ai/d44db128-fdc3-4652-966b-ff0b60ac0b08/9b6f910d-c20f-497c-8ad2-85de6edbbfbf_dust_100k.spz",
|
| 30 |
+
"150k": "https://cdn.marble.worldlabs.ai/d44db128-fdc3-4652-966b-ff0b60ac0b08/f85d015f-539c-4b04-8d0d-d04db9d3833a_ceramic_150k.spz",
|
| 31 |
+
"full_res": "https://cdn.marble.worldlabs.ai/d44db128-fdc3-4652-966b-ff0b60ac0b08/47383593-1e53-4ac6-ad50-753b44cdf3e3_ceramic.spz"
|
| 32 |
+
},
|
| 33 |
+
"semantics_metadata": {
|
| 34 |
+
"metric_scale_factor": 0.5809282,
|
| 35 |
+
"ground_plane_offset": 1.2712545
|
| 36 |
+
}
|
| 37 |
+
},
|
| 38 |
+
"thumbnail_url": "https://cdn.marble.worldlabs.ai/d44db128-fdc3-4652-966b-ff0b60ac0b08/83994a63-719f-4283-8c4b-f97f2e94e4b2_sand_mpi/thumbnail.webp",
|
| 39 |
+
"caption": "The scene is a compact, utilitarian corner booth area, captured in a realistic style, evoking a quiet, mundane, and slightly institutional atmosphere. The overall tone is functional and space-efficient, with minimal decoration and a focus on seating and surface area. The space is defined by two perpendicular walls meeting at a right angle, with a built-in L-shaped upholstered bench occupying the corner. A square laminate table with a single central metal pedestal leg is positioned centrally within the L-shaped booth. The booth\u2019s upholstery is a dark teal or deep blue fabric with a repeating circular pattern in muted gold and green tones; the seat cushions appear slightly worn. A framed rectangular artwork, with a black frame, depicting a stylized silhouette of an animal against a turquoise and multicolored background, is hung on the left wall, above the booth\u2019s left armrest. A white plastic duplex receptacle is mounted on the right wall, approximately 18 inches above the floor, with a white electrical cord extending downward from it. A dark gray or black fabric backpack, partially collapsed, rests on the floor in the bottom-right corner, near the wall and power outlet. The walls are painted a flat, matte off-white, possibly concrete block or drywall, with a slightly textured finish. The flooring is a light beige or tan linoleum or vinyl tile, showing minor scuffing. The table surface is a light gray or off-white laminate with a smooth, slightly glossy finish. 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/d44db128-fdc3-4652-966b-ff0b60ac0b08",
|
| 51 |
+
"model": null
|
| 52 |
+
}
|
| 53 |
+
}
|
0191_txt_6b98c5e19b09/tasks/000_closest_object/question_0.json
ADDED
|
@@ -0,0 +1,51 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"type": "closest_object",
|
| 3 |
+
"question": "Between artwork (blue point) and table (red point), which one is nearer to the camera? Calculate or judge based on the 3D center points of these objects. Choose the correct answer.",
|
| 4 |
+
"choices": [
|
| 5 |
+
"A. artwork (blue point)",
|
| 6 |
+
"B. table (red point)"
|
| 7 |
+
],
|
| 8 |
+
"answer": "B",
|
| 9 |
+
"camera_name": "rand_027",
|
| 10 |
+
"camera_position": [
|
| 11 |
+
0.9057322283898609,
|
| 12 |
+
2.401585957348253,
|
| 13 |
+
-1.0279933164953008
|
| 14 |
+
],
|
| 15 |
+
"camera_look_at": [
|
| 16 |
+
0.29889539425176825,
|
| 17 |
+
-2.127118105069478,
|
| 18 |
+
-1.1131133124882746
|
| 19 |
+
],
|
| 20 |
+
"blue": {
|
| 21 |
+
"circle_color": "blue",
|
| 22 |
+
"label": "artwork",
|
| 23 |
+
"id": "artwork_0",
|
| 24 |
+
"centroid": [
|
| 25 |
+
1.8485922813415527,
|
| 26 |
+
-2.2352962493896484,
|
| 27 |
+
0.885424792766571
|
| 28 |
+
],
|
| 29 |
+
"distance_to_camera": 5.104001424320519,
|
| 30 |
+
"width": 0.223388671875,
|
| 31 |
+
"length": 0.6025879383087158,
|
| 32 |
+
"height": 0.1580566167831421
|
| 33 |
+
},
|
| 34 |
+
"red": {
|
| 35 |
+
"circle_color": "red",
|
| 36 |
+
"label": "table",
|
| 37 |
+
"id": "table_0",
|
| 38 |
+
"centroid": [
|
| 39 |
+
0.22999636828899384,
|
| 40 |
+
-2.109790802001953,
|
| 41 |
+
-0.86669921875
|
| 42 |
+
],
|
| 43 |
+
"distance_to_camera": 4.564554195471765,
|
| 44 |
+
"width": 1.408618152141571,
|
| 45 |
+
"length": 1.426513671875,
|
| 46 |
+
"height": 0.072265625
|
| 47 |
+
},
|
| 48 |
+
"scene_id": "0191_txt_6b98c5e19b09",
|
| 49 |
+
"layout_path": null,
|
| 50 |
+
"image_path": "question_image_0.jpg"
|
| 51 |
+
}
|
0191_txt_6b98c5e19b09/tasks/000_closest_object/question_1.json
ADDED
|
@@ -0,0 +1,51 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"type": "closest_object",
|
| 3 |
+
"question": "Identify which object has a smaller distance to the camera: table (blue point) or backpack (red point). Calculate or judge based on the 3D center points of these objects. Choose the right response.",
|
| 4 |
+
"choices": [
|
| 5 |
+
"A. table (blue point)",
|
| 6 |
+
"B. backpack (red point)"
|
| 7 |
+
],
|
| 8 |
+
"answer": "A",
|
| 9 |
+
"camera_name": "view_011",
|
| 10 |
+
"camera_position": [
|
| 11 |
+
-0.0,
|
| 12 |
+
-0.0,
|
| 13 |
+
0.0
|
| 14 |
+
],
|
| 15 |
+
"camera_look_at": [
|
| 16 |
+
-4.829628944396973,
|
| 17 |
+
-8.36516284942627,
|
| 18 |
+
-2.5881905555725098
|
| 19 |
+
],
|
| 20 |
+
"blue": {
|
| 21 |
+
"circle_color": "blue",
|
| 22 |
+
"label": "table",
|
| 23 |
+
"id": "table_0",
|
| 24 |
+
"centroid": [
|
| 25 |
+
0.22999636828899384,
|
| 26 |
+
-2.109790802001953,
|
| 27 |
+
-0.86669921875
|
| 28 |
+
],
|
| 29 |
+
"distance_to_camera": 2.2924404230906483,
|
| 30 |
+
"width": 1.408618152141571,
|
| 31 |
+
"length": 1.426513671875,
|
| 32 |
+
"height": 0.072265625
|
| 33 |
+
},
|
| 34 |
+
"red": {
|
| 35 |
+
"circle_color": "red",
|
| 36 |
+
"label": "backpack",
|
| 37 |
+
"id": "backpack_0",
|
| 38 |
+
"centroid": [
|
| 39 |
+
-1.8054791688919067,
|
| 40 |
+
-1.5595252513885498,
|
| 41 |
+
-1.5760499238967896
|
| 42 |
+
],
|
| 43 |
+
"distance_to_camera": 2.859336881452797,
|
| 44 |
+
"width": 0.545166015625,
|
| 45 |
+
"length": 0.7273147106170654,
|
| 46 |
+
"height": 1.1291701793670654
|
| 47 |
+
},
|
| 48 |
+
"scene_id": "0191_txt_6b98c5e19b09",
|
| 49 |
+
"layout_path": null,
|
| 50 |
+
"image_path": "question_image_1.jpg"
|
| 51 |
+
}
|
0191_txt_6b98c5e19b09/tasks/000_closest_object/question_2.json
ADDED
|
@@ -0,0 +1,51 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"type": "closest_object",
|
| 3 |
+
"question": "Consider backpack (blue point) and table (red point). Which is located closer to the viewpoint? Calculate or judge based on the 3D center points of these objects. Select one.",
|
| 4 |
+
"choices": [
|
| 5 |
+
"A. backpack (blue point)",
|
| 6 |
+
"B. table (red point)"
|
| 7 |
+
],
|
| 8 |
+
"answer": "B",
|
| 9 |
+
"camera_name": "rand_002",
|
| 10 |
+
"camera_position": [
|
| 11 |
+
1.829115521394987,
|
| 12 |
+
2.4416712683945097,
|
| 13 |
+
-0.9630624438983411
|
| 14 |
+
],
|
| 15 |
+
"camera_look_at": [
|
| 16 |
+
0.16095712160193854,
|
| 17 |
+
-2.1462631240849124,
|
| 18 |
+
-1.0492701604979302
|
| 19 |
+
],
|
| 20 |
+
"blue": {
|
| 21 |
+
"circle_color": "blue",
|
| 22 |
+
"label": "backpack",
|
| 23 |
+
"id": "backpack_0",
|
| 24 |
+
"centroid": [
|
| 25 |
+
-1.8054791688919067,
|
| 26 |
+
-1.5595252513885498,
|
| 27 |
+
-1.5760499238967896
|
| 28 |
+
],
|
| 29 |
+
"distance_to_camera": 5.440184353789915,
|
| 30 |
+
"width": 0.545166015625,
|
| 31 |
+
"length": 0.7273147106170654,
|
| 32 |
+
"height": 1.1291701793670654
|
| 33 |
+
},
|
| 34 |
+
"red": {
|
| 35 |
+
"circle_color": "red",
|
| 36 |
+
"label": "table",
|
| 37 |
+
"id": "table_0",
|
| 38 |
+
"centroid": [
|
| 39 |
+
0.22999636828899384,
|
| 40 |
+
-2.109790802001953,
|
| 41 |
+
-0.86669921875
|
| 42 |
+
],
|
| 43 |
+
"distance_to_camera": 4.825170972644293,
|
| 44 |
+
"width": 1.408618152141571,
|
| 45 |
+
"length": 1.426513671875,
|
| 46 |
+
"height": 0.072265625
|
| 47 |
+
},
|
| 48 |
+
"scene_id": "0191_txt_6b98c5e19b09",
|
| 49 |
+
"layout_path": null,
|
| 50 |
+
"image_path": "question_image_2.jpg"
|
| 51 |
+
}
|
0191_txt_6b98c5e19b09/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 artwork (red point)? Calculate or judge based on the 3D center points of these objects. The unit is meter. Answer using a single number and nothing else.",
|
| 4 |
+
"answer": "2.4",
|
| 5 |
+
"camera_name": "view_002",
|
| 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": "artwork",
|
| 18 |
+
"id": "artwork_0",
|
| 19 |
+
"centroid": [
|
| 20 |
+
1.8485922813415527,
|
| 21 |
+
-2.2352962493896484,
|
| 22 |
+
0.885424792766571
|
| 23 |
+
],
|
| 24 |
+
"depth": 2.4,
|
| 25 |
+
"width": 0.223388671875,
|
| 26 |
+
"length": 0.6025879383087158,
|
| 27 |
+
"height": 0.1580566167831421
|
| 28 |
+
},
|
| 29 |
+
"scene_id": "0191_txt_6b98c5e19b09",
|
| 30 |
+
"layout_path": null,
|
| 31 |
+
"image_path": "question_image_0.jpg"
|
| 32 |
+
}
|
0191_txt_6b98c5e19b09/tasks/001_depth_estimation/question_1.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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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"type": "depth_estimation",
|
| 3 |
+
"question": "Determine the depth of the table (red point) in meters. Calculate or judge based on the 3D center points of these objects. Provide a single numerical answer.",
|
| 4 |
+
"answer": "5.23",
|
| 5 |
+
"camera_name": "rand_043",
|
| 6 |
+
"camera_position": [
|
| 7 |
+
0.7410187085041546,
|
| 8 |
+
-1.0958588143352224,
|
| 9 |
+
-0.8425223536054247
|
| 10 |
+
],
|
| 11 |
+
"camera_look_at": [
|
| 12 |
+
2.700189084044468,
|
| 13 |
+
4.983428471146905,
|
| 14 |
+
-1.3522190875183355
|
| 15 |
+
],
|
| 16 |
+
"object": {
|
| 17 |
+
"label": "table",
|
| 18 |
+
"id": "table_1",
|
| 19 |
+
"centroid": [
|
| 20 |
+
2.372511148452759,
|
| 21 |
+
3.8421995639801025,
|
| 22 |
+
-1.4584716856479645
|
| 23 |
+
],
|
| 24 |
+
"depth": 5.23,
|
| 25 |
+
"width": 1.2918360233306885,
|
| 26 |
+
"length": 1.4050788879394531,
|
| 27 |
+
"height": 1.56846684217453
|
| 28 |
+
},
|
| 29 |
+
"scene_id": "0191_txt_6b98c5e19b09",
|
| 30 |
+
"layout_path": null,
|
| 31 |
+
"image_path": "question_image_1.jpg"
|
| 32 |
+
}
|
0191_txt_6b98c5e19b09/tasks/001_depth_estimation/question_2.json
ADDED
|
@@ -0,0 +1,32 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"type": "depth_estimation",
|
| 3 |
+
"question": "What is the distance along the camera's viewing direction to the artwork (red point)? Calculate or judge based on the 3D center points of these objects. Answer in meters, number only.",
|
| 4 |
+
"answer": "2.53",
|
| 5 |
+
"camera_name": "view_001",
|
| 6 |
+
"camera_position": [
|
| 7 |
+
-0.0,
|
| 8 |
+
-0.0,
|
| 9 |
+
0.0
|
| 10 |
+
],
|
| 11 |
+
"camera_look_at": [
|
| 12 |
+
4.829628944396973,
|
| 13 |
+
-8.36516284942627,
|
| 14 |
+
-2.5881905555725098
|
| 15 |
+
],
|
| 16 |
+
"object": {
|
| 17 |
+
"label": "artwork",
|
| 18 |
+
"id": "artwork_0",
|
| 19 |
+
"centroid": [
|
| 20 |
+
1.8485922813415527,
|
| 21 |
+
-2.2352962493896484,
|
| 22 |
+
0.885424792766571
|
| 23 |
+
],
|
| 24 |
+
"depth": 2.53,
|
| 25 |
+
"width": 0.223388671875,
|
| 26 |
+
"length": 0.6025879383087158,
|
| 27 |
+
"height": 0.1580566167831421
|
| 28 |
+
},
|
| 29 |
+
"scene_id": "0191_txt_6b98c5e19b09",
|
| 30 |
+
"layout_path": null,
|
| 31 |
+
"image_path": "question_image_2.jpg"
|
| 32 |
+
}
|
0191_txt_6b98c5e19b09/tasks/001_depth_estimation/question_3.json
ADDED
|
@@ -0,0 +1,32 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"type": "depth_estimation",
|
| 3 |
+
"question": "How deep is the backpack (red point) from the camera? Calculate or judge based on the 3D center points of these objects. Give the answer in meters as a single number.",
|
| 4 |
+
"answer": "2.67",
|
| 5 |
+
"camera_name": "view_010",
|
| 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": "backpack",
|
| 18 |
+
"id": "backpack_0",
|
| 19 |
+
"centroid": [
|
| 20 |
+
-1.8054791688919067,
|
| 21 |
+
-1.5595252513885498,
|
| 22 |
+
-1.5760499238967896
|
| 23 |
+
],
|
| 24 |
+
"depth": 2.67,
|
| 25 |
+
"width": 0.545166015625,
|
| 26 |
+
"length": 0.7273147106170654,
|
| 27 |
+
"height": 1.1291701793670654
|
| 28 |
+
},
|
| 29 |
+
"scene_id": "0191_txt_6b98c5e19b09",
|
| 30 |
+
"layout_path": null,
|
| 31 |
+
"image_path": "question_image_3.jpg"
|
| 32 |
+
}
|
0191_txt_6b98c5e19b09/tasks/001_depth_estimation/question_4.json
ADDED
|
@@ -0,0 +1,32 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 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": "3.03",
|
| 5 |
+
"camera_name": "rand_055",
|
| 6 |
+
"camera_position": [
|
| 7 |
+
0.8723596609641194,
|
| 8 |
+
1.3359411177807374,
|
| 9 |
+
-0.5754845505076964
|
| 10 |
+
],
|
| 11 |
+
"camera_look_at": [
|
| 12 |
+
2.6208437179802186,
|
| 13 |
+
4.969175767047295,
|
| 14 |
+
-1.375983781345195
|
| 15 |
+
],
|
| 16 |
+
"object": {
|
| 17 |
+
"label": "table",
|
| 18 |
+
"id": "table_1",
|
| 19 |
+
"centroid": [
|
| 20 |
+
2.372511148452759,
|
| 21 |
+
3.8421995639801025,
|
| 22 |
+
-1.4584716856479645
|
| 23 |
+
],
|
| 24 |
+
"depth": 3.03,
|
| 25 |
+
"width": 1.2918360233306885,
|
| 26 |
+
"length": 1.4050788879394531,
|
| 27 |
+
"height": 1.56846684217453
|
| 28 |
+
},
|
| 29 |
+
"scene_id": "0191_txt_6b98c5e19b09",
|
| 30 |
+
"layout_path": null,
|
| 31 |
+
"image_path": "question_image_4.jpg"
|
| 32 |
+
}
|
0191_txt_6b98c5e19b09/tasks/001_depth_estimation/question_5.json
ADDED
|
@@ -0,0 +1,32 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"type": "depth_estimation",
|
| 3 |
+
"question": "Measure the depth to the table (red point) in meters. Calculate or judge based on the 3D center points of these objects. Reply with a single number.",
|
| 4 |
+
"answer": "4.56",
|
| 5 |
+
"camera_name": "rand_027",
|
| 6 |
+
"camera_position": [
|
| 7 |
+
0.9057322283898609,
|
| 8 |
+
2.401585957348253,
|
| 9 |
+
-1.0279933164953008
|
| 10 |
+
],
|
| 11 |
+
"camera_look_at": [
|
| 12 |
+
0.29889539425176825,
|
| 13 |
+
-2.127118105069478,
|
| 14 |
+
-1.1131133124882746
|
| 15 |
+
],
|
| 16 |
+
"object": {
|
| 17 |
+
"label": "table",
|
| 18 |
+
"id": "table_0",
|
| 19 |
+
"centroid": [
|
| 20 |
+
0.22999636828899384,
|
| 21 |
+
-2.109790802001953,
|
| 22 |
+
-0.86669921875
|
| 23 |
+
],
|
| 24 |
+
"depth": 4.56,
|
| 25 |
+
"width": 1.408618152141571,
|
| 26 |
+
"length": 1.426513671875,
|
| 27 |
+
"height": 0.072265625
|
| 28 |
+
},
|
| 29 |
+
"scene_id": "0191_txt_6b98c5e19b09",
|
| 30 |
+
"layout_path": null,
|
| 31 |
+
"image_path": "question_image_5.jpg"
|
| 32 |
+
}
|
0191_txt_6b98c5e19b09/tasks/001_depth_estimation/question_6.json
ADDED
|
@@ -0,0 +1,32 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"type": "depth_estimation",
|
| 3 |
+
"question": "Measure the depth to the table (red point) in meters. Calculate or judge based on the 3D center points of these objects. Reply with a single number.",
|
| 4 |
+
"answer": "2.26",
|
| 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": "table",
|
| 18 |
+
"id": "table_0",
|
| 19 |
+
"centroid": [
|
| 20 |
+
0.22999636828899384,
|
| 21 |
+
-2.109790802001953,
|
| 22 |
+
-0.86669921875
|
| 23 |
+
],
|
| 24 |
+
"depth": 2.26,
|
| 25 |
+
"width": 1.408618152141571,
|
| 26 |
+
"length": 1.426513671875,
|
| 27 |
+
"height": 0.072265625
|
| 28 |
+
},
|
| 29 |
+
"scene_id": "0191_txt_6b98c5e19b09",
|
| 30 |
+
"layout_path": null,
|
| 31 |
+
"image_path": "question_image_6.jpg"
|
| 32 |
+
}
|
0191_txt_6b98c5e19b09/tasks/001_depth_estimation/question_7.json
ADDED
|
@@ -0,0 +1,32 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"type": "depth_estimation",
|
| 3 |
+
"question": "Report the depth of the backpack (red point) in meters. Calculate or judge based on the 3D center points of these objects. Provide only the numerical value.",
|
| 4 |
+
"answer": "5.01",
|
| 5 |
+
"camera_name": "rand_002",
|
| 6 |
+
"camera_position": [
|
| 7 |
+
1.829115521394987,
|
| 8 |
+
2.4416712683945097,
|
| 9 |
+
-0.9630624438983411
|
| 10 |
+
],
|
| 11 |
+
"camera_look_at": [
|
| 12 |
+
0.16095712160193854,
|
| 13 |
+
-2.1462631240849124,
|
| 14 |
+
-1.0492701604979302
|
| 15 |
+
],
|
| 16 |
+
"object": {
|
| 17 |
+
"label": "backpack",
|
| 18 |
+
"id": "backpack_0",
|
| 19 |
+
"centroid": [
|
| 20 |
+
-1.8054791688919067,
|
| 21 |
+
-1.5595252513885498,
|
| 22 |
+
-1.5760499238967896
|
| 23 |
+
],
|
| 24 |
+
"depth": 5.01,
|
| 25 |
+
"width": 0.545166015625,
|
| 26 |
+
"length": 0.7273147106170654,
|
| 27 |
+
"height": 1.1291701793670654
|
| 28 |
+
},
|
| 29 |
+
"scene_id": "0191_txt_6b98c5e19b09",
|
| 30 |
+
"layout_path": null,
|
| 31 |
+
"image_path": "question_image_7.jpg"
|
| 32 |
+
}
|
0191_txt_6b98c5e19b09/tasks/002_distance_estimation/question_0.json
ADDED
|
@@ -0,0 +1,32 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"type": "distance_estimation",
|
| 3 |
+
"question": "What is the total distance in meters from the person who captured the image to the center of table (red point)? Calculate or judge based on the 3D center points of these objects. Answer using a single number and nothing else.",
|
| 4 |
+
"answer": "4.93",
|
| 5 |
+
"camera_name": "rand_053",
|
| 6 |
+
"camera_position": [
|
| 7 |
+
0.4565507972353997,
|
| 8 |
+
-0.6609750761137354,
|
| 9 |
+
-0.83029453923709
|
| 10 |
+
],
|
| 11 |
+
"camera_look_at": [
|
| 12 |
+
2.596663194204535,
|
| 13 |
+
5.0199531881318356,
|
| 14 |
+
-1.3533915405481338
|
| 15 |
+
],
|
| 16 |
+
"object": {
|
| 17 |
+
"label": "table",
|
| 18 |
+
"id": "table_1",
|
| 19 |
+
"centroid": [
|
| 20 |
+
2.372511148452759,
|
| 21 |
+
3.8421995639801025,
|
| 22 |
+
-1.4584716856479645
|
| 23 |
+
],
|
| 24 |
+
"distance": 4.933973290756054,
|
| 25 |
+
"width": 1.2918360233306885,
|
| 26 |
+
"length": 1.4050788879394531,
|
| 27 |
+
"height": 1.56846684217453
|
| 28 |
+
},
|
| 29 |
+
"scene_id": "0191_txt_6b98c5e19b09",
|
| 30 |
+
"layout_path": null,
|
| 31 |
+
"image_path": "question_image_0.jpg"
|
| 32 |
+
}
|
0191_txt_6b98c5e19b09/tasks/002_distance_estimation/question_1.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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|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"type": "distance_estimation",
|
| 3 |
+
"question": "What is the total distance in meters from the person who captured the image to the center of table (red point)? Calculate or judge based on the 3D center points of these objects. Answer using a single number and nothing else.",
|
| 4 |
+
"answer": "3.05",
|
| 5 |
+
"camera_name": "rand_055",
|
| 6 |
+
"camera_position": [
|
| 7 |
+
0.8723596609641194,
|
| 8 |
+
1.3359411177807374,
|
| 9 |
+
-0.5754845505076964
|
| 10 |
+
],
|
| 11 |
+
"camera_look_at": [
|
| 12 |
+
2.6208437179802186,
|
| 13 |
+
4.969175767047295,
|
| 14 |
+
-1.375983781345195
|
| 15 |
+
],
|
| 16 |
+
"object": {
|
| 17 |
+
"label": "table",
|
| 18 |
+
"id": "table_1",
|
| 19 |
+
"centroid": [
|
| 20 |
+
2.372511148452759,
|
| 21 |
+
3.8421995639801025,
|
| 22 |
+
-1.4584716856479645
|
| 23 |
+
],
|
| 24 |
+
"distance": 3.051467215190629,
|
| 25 |
+
"width": 1.2918360233306885,
|
| 26 |
+
"length": 1.4050788879394531,
|
| 27 |
+
"height": 1.56846684217453
|
| 28 |
+
},
|
| 29 |
+
"scene_id": "0191_txt_6b98c5e19b09",
|
| 30 |
+
"layout_path": null,
|
| 31 |
+
"image_path": "question_image_1.jpg"
|
| 32 |
+
}
|
0191_txt_6b98c5e19b09/tasks/002_distance_estimation/question_2.json
ADDED
|
@@ -0,0 +1,32 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
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|
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|
|
|
|
|
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|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
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|
|
|
|
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|
|
|
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|
|
|
|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"type": "distance_estimation",
|
| 3 |
+
"question": "What is the straight-line distance from the camera to the artwork (red point) in meters? Calculate or judge based on the 3D center points of these objects. Give a numerical answer.",
|
| 4 |
+
"answer": "3.03",
|
| 5 |
+
"camera_name": "view_002",
|
| 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": "artwork",
|
| 18 |
+
"id": "artwork_0",
|
| 19 |
+
"centroid": [
|
| 20 |
+
1.8485922813415527,
|
| 21 |
+
-2.2352962493896484,
|
| 22 |
+
0.885424792766571
|
| 23 |
+
],
|
| 24 |
+
"distance": 3.0327907624524184,
|
| 25 |
+
"width": 0.223388671875,
|
| 26 |
+
"length": 0.6025879383087158,
|
| 27 |
+
"height": 0.1580566167831421
|
| 28 |
+
},
|
| 29 |
+
"scene_id": "0191_txt_6b98c5e19b09",
|
| 30 |
+
"layout_path": null,
|
| 31 |
+
"image_path": "question_image_2.jpg"
|
| 32 |
+
}
|
0191_txt_6b98c5e19b09/tasks/002_distance_estimation/question_3.json
ADDED
|
@@ -0,0 +1,32 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"type": "distance_estimation",
|
| 3 |
+
"question": "How far is the artwork (red point) from the camera in meters? Calculate or judge based on the 3D center points of these objects. Answer with a single number.",
|
| 4 |
+
"answer": "3.03",
|
| 5 |
+
"camera_name": "view_002",
|
| 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": "artwork",
|
| 18 |
+
"id": "artwork_0",
|
| 19 |
+
"centroid": [
|
| 20 |
+
1.8485922813415527,
|
| 21 |
+
-2.2352962493896484,
|
| 22 |
+
0.885424792766571
|
| 23 |
+
],
|
| 24 |
+
"distance": 3.0327907624524184,
|
| 25 |
+
"width": 0.223388671875,
|
| 26 |
+
"length": 0.6025879383087158,
|
| 27 |
+
"height": 0.1580566167831421
|
| 28 |
+
},
|
| 29 |
+
"scene_id": "0191_txt_6b98c5e19b09",
|
| 30 |
+
"layout_path": null,
|
| 31 |
+
"image_path": "question_image_3.jpg"
|
| 32 |
+
}
|
0191_txt_6b98c5e19b09/tasks/002_distance_estimation/question_4.json
ADDED
|
@@ -0,0 +1,32 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"type": "distance_estimation",
|
| 3 |
+
"question": "What is the spatial distance from the observer to the backpack (red point) in meters? Calculate or judge based on the 3D center points of these objects. Reply with a number.",
|
| 4 |
+
"answer": "2.86",
|
| 5 |
+
"camera_name": "view_011",
|
| 6 |
+
"camera_position": [
|
| 7 |
+
-0.0,
|
| 8 |
+
-0.0,
|
| 9 |
+
0.0
|
| 10 |
+
],
|
| 11 |
+
"camera_look_at": [
|
| 12 |
+
-4.829628944396973,
|
| 13 |
+
-8.36516284942627,
|
| 14 |
+
-2.5881905555725098
|
| 15 |
+
],
|
| 16 |
+
"object": {
|
| 17 |
+
"label": "backpack",
|
| 18 |
+
"id": "backpack_0",
|
| 19 |
+
"centroid": [
|
| 20 |
+
-1.8054791688919067,
|
| 21 |
+
-1.5595252513885498,
|
| 22 |
+
-1.5760499238967896
|
| 23 |
+
],
|
| 24 |
+
"distance": 2.859336881452797,
|
| 25 |
+
"width": 0.545166015625,
|
| 26 |
+
"length": 0.7273147106170654,
|
| 27 |
+
"height": 1.1291701793670654
|
| 28 |
+
},
|
| 29 |
+
"scene_id": "0191_txt_6b98c5e19b09",
|
| 30 |
+
"layout_path": null,
|
| 31 |
+
"image_path": "question_image_4.jpg"
|
| 32 |
+
}
|
0191_txt_6b98c5e19b09/tasks/002_distance_estimation/question_5.json
ADDED
|
@@ -0,0 +1,32 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"type": "distance_estimation",
|
| 3 |
+
"question": "Report the distance in meters from the camera to the table (red point). Calculate or judge based on the 3D center points of these objects. State a single number.",
|
| 4 |
+
"answer": "1.71",
|
| 5 |
+
"camera_name": "rand_056",
|
| 6 |
+
"camera_position": [
|
| 7 |
+
0.6289057726895535,
|
| 8 |
+
-0.5242058295646111,
|
| 9 |
+
-1.3661657632872586
|
| 10 |
+
],
|
| 11 |
+
"camera_look_at": [
|
| 12 |
+
0.9504243972390259,
|
| 13 |
+
-2.3413745056796493,
|
| 14 |
+
-1.4631143051161246
|
| 15 |
+
],
|
| 16 |
+
"object": {
|
| 17 |
+
"label": "table",
|
| 18 |
+
"id": "table_0",
|
| 19 |
+
"centroid": [
|
| 20 |
+
0.22999636828899384,
|
| 21 |
+
-2.109790802001953,
|
| 22 |
+
-0.86669921875
|
| 23 |
+
],
|
| 24 |
+
"distance": 1.7095833547535275,
|
| 25 |
+
"width": 1.408618152141571,
|
| 26 |
+
"length": 1.426513671875,
|
| 27 |
+
"height": 0.072265625
|
| 28 |
+
},
|
| 29 |
+
"scene_id": "0191_txt_6b98c5e19b09",
|
| 30 |
+
"layout_path": null,
|
| 31 |
+
"image_path": "question_image_5.jpg"
|
| 32 |
+
}
|
0191_txt_6b98c5e19b09/tasks/002_distance_estimation/question_6.json
ADDED
|
@@ -0,0 +1,32 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"type": "distance_estimation",
|
| 3 |
+
"question": "Estimate the 3D distance in meters between the camera and the table (red point). Calculate or judge based on the 3D center points of these objects. Respond with only a number.",
|
| 4 |
+
"answer": "1.7",
|
| 5 |
+
"camera_name": "rand_000",
|
| 6 |
+
"camera_position": [
|
| 7 |
+
-0.2627853115852672,
|
| 8 |
+
-0.6153724840009338,
|
| 9 |
+
-1.5148423385671728
|
| 10 |
+
],
|
| 11 |
+
"camera_look_at": [
|
| 12 |
+
0.2571901691848778,
|
| 13 |
+
-2.126260811985003,
|
| 14 |
+
-1.6452284790800766
|
| 15 |
+
],
|
| 16 |
+
"object": {
|
| 17 |
+
"label": "table",
|
| 18 |
+
"id": "table_0",
|
| 19 |
+
"centroid": [
|
| 20 |
+
0.22999636828899384,
|
| 21 |
+
-2.109790802001953,
|
| 22 |
+
-0.86669921875
|
| 23 |
+
],
|
| 24 |
+
"distance": 1.7018253132924754,
|
| 25 |
+
"width": 1.408618152141571,
|
| 26 |
+
"length": 1.426513671875,
|
| 27 |
+
"height": 0.072265625
|
| 28 |
+
},
|
| 29 |
+
"scene_id": "0191_txt_6b98c5e19b09",
|
| 30 |
+
"layout_path": null,
|
| 31 |
+
"image_path": "question_image_6.jpg"
|
| 32 |
+
}
|
0191_txt_6b98c5e19b09/tasks/002_distance_estimation/question_7.json
ADDED
|
@@ -0,0 +1,32 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"type": "distance_estimation",
|
| 3 |
+
"question": "Calculate the Euclidean distance in meters from the viewpoint to the backpack (red point). Calculate or judge based on the 3D center points of these objects. Answer with a number only.",
|
| 4 |
+
"answer": "2.86",
|
| 5 |
+
"camera_name": "view_011",
|
| 6 |
+
"camera_position": [
|
| 7 |
+
-0.0,
|
| 8 |
+
-0.0,
|
| 9 |
+
0.0
|
| 10 |
+
],
|
| 11 |
+
"camera_look_at": [
|
| 12 |
+
-4.829628944396973,
|
| 13 |
+
-8.36516284942627,
|
| 14 |
+
-2.5881905555725098
|
| 15 |
+
],
|
| 16 |
+
"object": {
|
| 17 |
+
"label": "backpack",
|
| 18 |
+
"id": "backpack_0",
|
| 19 |
+
"centroid": [
|
| 20 |
+
-1.8054791688919067,
|
| 21 |
+
-1.5595252513885498,
|
| 22 |
+
-1.5760499238967896
|
| 23 |
+
],
|
| 24 |
+
"distance": 2.859336881452797,
|
| 25 |
+
"width": 0.545166015625,
|
| 26 |
+
"length": 0.7273147106170654,
|
| 27 |
+
"height": 1.1291701793670654
|
| 28 |
+
},
|
| 29 |
+
"scene_id": "0191_txt_6b98c5e19b09",
|
| 30 |
+
"layout_path": null,
|
| 31 |
+
"image_path": "question_image_7.jpg"
|
| 32 |
+
}
|
0191_txt_6b98c5e19b09/tasks/003_object_distance/question_0.json
ADDED
|
@@ -0,0 +1,47 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"type": "object_distance",
|
| 3 |
+
"question": "Estimate the 3D Euclidean distance between artwork (blue point) and table (red point) in meters. Calculate or judge based on the 3D center points of these objects. Answer with one number.",
|
| 4 |
+
"answer": "2.39",
|
| 5 |
+
"camera_name": "rand_057",
|
| 6 |
+
"camera_position": [
|
| 7 |
+
0.6059882288979521,
|
| 8 |
+
2.670758969017888,
|
| 9 |
+
-1.4347603525685786
|
| 10 |
+
],
|
| 11 |
+
"camera_look_at": [
|
| 12 |
+
0.18412497182598853,
|
| 13 |
+
-2.0877020399316395,
|
| 14 |
+
-1.5090741917793393
|
| 15 |
+
],
|
| 16 |
+
"blue": {
|
| 17 |
+
"circle_color": "blue",
|
| 18 |
+
"label": "artwork",
|
| 19 |
+
"id": "artwork_0",
|
| 20 |
+
"centroid": [
|
| 21 |
+
1.8485922813415527,
|
| 22 |
+
-2.2352962493896484,
|
| 23 |
+
0.885424792766571
|
| 24 |
+
],
|
| 25 |
+
"distance_to_camera": 5.567468162984587,
|
| 26 |
+
"width": 0.223388671875,
|
| 27 |
+
"length": 0.6025879383087158,
|
| 28 |
+
"height": 0.1580566167831421
|
| 29 |
+
},
|
| 30 |
+
"red": {
|
| 31 |
+
"circle_color": "red",
|
| 32 |
+
"label": "table",
|
| 33 |
+
"id": "table_0",
|
| 34 |
+
"centroid": [
|
| 35 |
+
0.22999636828899384,
|
| 36 |
+
-2.109790802001953,
|
| 37 |
+
-0.86669921875
|
| 38 |
+
],
|
| 39 |
+
"distance_to_camera": 4.82884245385965,
|
| 40 |
+
"width": 1.408618152141571,
|
| 41 |
+
"length": 1.426513671875,
|
| 42 |
+
"height": 0.072265625
|
| 43 |
+
},
|
| 44 |
+
"scene_id": "0191_txt_6b98c5e19b09",
|
| 45 |
+
"layout_path": null,
|
| 46 |
+
"image_path": "question_image_0.jpg"
|
| 47 |
+
}
|
0191_txt_6b98c5e19b09/tasks/003_object_distance/question_1.json
ADDED
|
@@ -0,0 +1,47 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"type": "object_distance",
|
| 3 |
+
"question": "How many meters separate table (blue point) and backpack (red point)? Calculate or judge based on the 3D center points of these objects. Reply with a number only.",
|
| 4 |
+
"answer": "2.22",
|
| 5 |
+
"camera_name": "rand_002",
|
| 6 |
+
"camera_position": [
|
| 7 |
+
1.829115521394987,
|
| 8 |
+
2.4416712683945097,
|
| 9 |
+
-0.9630624438983411
|
| 10 |
+
],
|
| 11 |
+
"camera_look_at": [
|
| 12 |
+
0.16095712160193854,
|
| 13 |
+
-2.1462631240849124,
|
| 14 |
+
-1.0492701604979302
|
| 15 |
+
],
|
| 16 |
+
"blue": {
|
| 17 |
+
"circle_color": "blue",
|
| 18 |
+
"label": "table",
|
| 19 |
+
"id": "table_0",
|
| 20 |
+
"centroid": [
|
| 21 |
+
0.22999636828899384,
|
| 22 |
+
-2.109790802001953,
|
| 23 |
+
-0.86669921875
|
| 24 |
+
],
|
| 25 |
+
"distance_to_camera": 4.825170972644293,
|
| 26 |
+
"width": 1.408618152141571,
|
| 27 |
+
"length": 1.426513671875,
|
| 28 |
+
"height": 0.072265625
|
| 29 |
+
},
|
| 30 |
+
"red": {
|
| 31 |
+
"circle_color": "red",
|
| 32 |
+
"label": "backpack",
|
| 33 |
+
"id": "backpack_0",
|
| 34 |
+
"centroid": [
|
| 35 |
+
-1.8054791688919067,
|
| 36 |
+
-1.5595252513885498,
|
| 37 |
+
-1.5760499238967896
|
| 38 |
+
],
|
| 39 |
+
"distance_to_camera": 5.440184353789915,
|
| 40 |
+
"width": 0.545166015625,
|
| 41 |
+
"length": 0.7273147106170654,
|
| 42 |
+
"height": 1.1291701793670654
|
| 43 |
+
},
|
| 44 |
+
"scene_id": "0191_txt_6b98c5e19b09",
|
| 45 |
+
"layout_path": null,
|
| 46 |
+
"image_path": "question_image_1.jpg"
|
| 47 |
+
}
|
0191_txt_6b98c5e19b09/tasks/003_object_distance/question_2.json
ADDED
|
@@ -0,0 +1,47 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"type": "object_distance",
|
| 3 |
+
"question": "Report the Euclidean distance in meters from table (blue point) to artwork (red point). Calculate or judge based on the 3D center points of these objects. Provide only the numerical value.",
|
| 4 |
+
"answer": "2.39",
|
| 5 |
+
"camera_name": "rand_040",
|
| 6 |
+
"camera_position": [
|
| 7 |
+
1.8974402952110867,
|
| 8 |
+
2.2913142515328886,
|
| 9 |
+
-0.6264969124977844
|
| 10 |
+
],
|
| 11 |
+
"camera_look_at": [
|
| 12 |
+
0.22865615857617705,
|
| 13 |
+
-2.0886291147881417,
|
| 14 |
+
-0.8521019836412966
|
| 15 |
+
],
|
| 16 |
+
"blue": {
|
| 17 |
+
"circle_color": "blue",
|
| 18 |
+
"label": "table",
|
| 19 |
+
"id": "table_0",
|
| 20 |
+
"centroid": [
|
| 21 |
+
0.22999636828899384,
|
| 22 |
+
-2.109790802001953,
|
| 23 |
+
-0.86669921875
|
| 24 |
+
],
|
| 25 |
+
"distance_to_camera": 4.712514412668483,
|
| 26 |
+
"width": 1.408618152141571,
|
| 27 |
+
"length": 1.426513671875,
|
| 28 |
+
"height": 0.072265625
|
| 29 |
+
},
|
| 30 |
+
"red": {
|
| 31 |
+
"circle_color": "red",
|
| 32 |
+
"label": "artwork",
|
| 33 |
+
"id": "artwork_0",
|
| 34 |
+
"centroid": [
|
| 35 |
+
1.8485922813415527,
|
| 36 |
+
-2.2352962493896484,
|
| 37 |
+
0.885424792766571
|
| 38 |
+
],
|
| 39 |
+
"distance_to_camera": 4.772682264552151,
|
| 40 |
+
"width": 0.223388671875,
|
| 41 |
+
"length": 0.6025879383087158,
|
| 42 |
+
"height": 0.1580566167831421
|
| 43 |
+
},
|
| 44 |
+
"scene_id": "0191_txt_6b98c5e19b09",
|
| 45 |
+
"layout_path": null,
|
| 46 |
+
"image_path": "question_image_2.jpg"
|
| 47 |
+
}
|
0191_txt_6b98c5e19b09/tasks/004_relative_direction/question_image_0.jpg
ADDED
|
Git LFS Details
|
0191_txt_6b98c5e19b09/tasks/004_relative_direction/question_image_1.jpg
ADDED
|
Git LFS Details
|
0191_txt_6b98c5e19b09/tasks/004_relative_direction/question_image_2.jpg
ADDED
|
Git LFS Details
|
0191_txt_6b98c5e19b09/tasks/005_camera_object_position/question_0.json
ADDED
|
@@ -0,0 +1,39 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"type": "camera_object_position",
|
| 3 |
+
"question": "Determine where power outlet (bbox) is situated with respect to the camera's line of sight. Calculate or judge based on the 3D center points of these objects. Choose the correct response.",
|
| 4 |
+
"choices": [
|
| 5 |
+
"A. right, , behind",
|
| 6 |
+
"B. left, above, front",
|
| 7 |
+
"C. left, above, behind",
|
| 8 |
+
"D. right, above, behind"
|
| 9 |
+
],
|
| 10 |
+
"answer": "B",
|
| 11 |
+
"camera_name": "view_007",
|
| 12 |
+
"camera_position": [
|
| 13 |
+
-0.0,
|
| 14 |
+
-0.0,
|
| 15 |
+
0.0
|
| 16 |
+
],
|
| 17 |
+
"camera_look_at": [
|
| 18 |
+
-4.829628944396973,
|
| 19 |
+
8.36516284942627,
|
| 20 |
+
-2.5881905555725098
|
| 21 |
+
],
|
| 22 |
+
"object": {
|
| 23 |
+
"label": "power outlet",
|
| 24 |
+
"id": "power outlet_0",
|
| 25 |
+
"centroid": [
|
| 26 |
+
-0.675118625164032,
|
| 27 |
+
0.6183531284332275,
|
| 28 |
+
0.10104736685752869
|
| 29 |
+
],
|
| 30 |
+
"image_u": 0.306,
|
| 31 |
+
"image_v": 0.095,
|
| 32 |
+
"width": 0.066162109375,
|
| 33 |
+
"length": 0.12953126430511475,
|
| 34 |
+
"height": 0.18158692121505737
|
| 35 |
+
},
|
| 36 |
+
"scene_id": "0191_txt_6b98c5e19b09",
|
| 37 |
+
"layout_path": null,
|
| 38 |
+
"image_path": "question_image_0.jpg"
|
| 39 |
+
}
|
0191_txt_6b98c5e19b09/tasks/005_camera_object_position/question_1.json
ADDED
|
@@ -0,0 +1,39 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"type": "camera_object_position",
|
| 3 |
+
"question": "Considering the observer's view, describe the location of artwork (bbox). Calculate or judge based on the 3D center points of these objects. Choose the right answer.",
|
| 4 |
+
"choices": [
|
| 5 |
+
"A. left, above, front",
|
| 6 |
+
"B. right, above, front",
|
| 7 |
+
"C. , below, behind",
|
| 8 |
+
"D. , , front"
|
| 9 |
+
],
|
| 10 |
+
"answer": "A",
|
| 11 |
+
"camera_name": "rand_027",
|
| 12 |
+
"camera_position": [
|
| 13 |
+
0.9057322283898609,
|
| 14 |
+
2.401585957348253,
|
| 15 |
+
-1.0279933164953008
|
| 16 |
+
],
|
| 17 |
+
"camera_look_at": [
|
| 18 |
+
0.29889539425176825,
|
| 19 |
+
-2.127118105069478,
|
| 20 |
+
-1.1131133124882746
|
| 21 |
+
],
|
| 22 |
+
"object": {
|
| 23 |
+
"label": "artwork",
|
| 24 |
+
"id": "artwork_0",
|
| 25 |
+
"centroid": [
|
| 26 |
+
1.8485922813415527,
|
| 27 |
+
-2.2352962493896484,
|
| 28 |
+
0.885424792766571
|
| 29 |
+
],
|
| 30 |
+
"image_u": 0.299,
|
| 31 |
+
"image_v": 0.04,
|
| 32 |
+
"width": 0.223388671875,
|
| 33 |
+
"length": 0.6025879383087158,
|
| 34 |
+
"height": 0.1580566167831421
|
| 35 |
+
},
|
| 36 |
+
"scene_id": "0191_txt_6b98c5e19b09",
|
| 37 |
+
"layout_path": null,
|
| 38 |
+
"image_path": "question_image_1.jpg"
|
| 39 |
+
}
|
0191_txt_6b98c5e19b09/tasks/005_camera_object_position/question_2.json
ADDED
|
@@ -0,0 +1,39 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"type": "camera_object_position",
|
| 3 |
+
"question": "Considering the observer's view, describe the location of artwork (bbox). Calculate or judge based on the 3D center points of these objects. Choose the right answer.",
|
| 4 |
+
"choices": [
|
| 5 |
+
"A. right, , behind",
|
| 6 |
+
"B. , below, behind",
|
| 7 |
+
"C. left, above, front",
|
| 8 |
+
"D. right, above, behind"
|
| 9 |
+
],
|
| 10 |
+
"answer": "C",
|
| 11 |
+
"camera_name": "rand_040",
|
| 12 |
+
"camera_position": [
|
| 13 |
+
1.8974402952110867,
|
| 14 |
+
2.2913142515328886,
|
| 15 |
+
-0.6264969124977844
|
| 16 |
+
],
|
| 17 |
+
"camera_look_at": [
|
| 18 |
+
0.22865615857617705,
|
| 19 |
+
-2.0886291147881417,
|
| 20 |
+
-0.8521019836412966
|
| 21 |
+
],
|
| 22 |
+
"object": {
|
| 23 |
+
"label": "artwork",
|
| 24 |
+
"id": "artwork_0",
|
| 25 |
+
"centroid": [
|
| 26 |
+
1.8485922813415527,
|
| 27 |
+
-2.2352962493896484,
|
| 28 |
+
0.885424792766571
|
| 29 |
+
],
|
| 30 |
+
"image_u": 0.284,
|
| 31 |
+
"image_v": 0.08,
|
| 32 |
+
"width": 0.223388671875,
|
| 33 |
+
"length": 0.6025879383087158,
|
| 34 |
+
"height": 0.1580566167831421
|
| 35 |
+
},
|
| 36 |
+
"scene_id": "0191_txt_6b98c5e19b09",
|
| 37 |
+
"layout_path": null,
|
| 38 |
+
"image_path": "question_image_2.jpg"
|
| 39 |
+
}
|
0191_txt_6b98c5e19b09/tasks/005_camera_object_position/question_3.json
ADDED
|
@@ -0,0 +1,39 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"type": "camera_object_position",
|
| 3 |
+
"question": "Determine where table (bbox) is situated with respect to the camera's line of sight. Calculate or judge based on the 3D center points of these objects. Choose the correct response.",
|
| 4 |
+
"choices": [
|
| 5 |
+
"A. left, , behind",
|
| 6 |
+
"B. right, below, behind",
|
| 7 |
+
"C. left, below, front",
|
| 8 |
+
"D. left, above, behind"
|
| 9 |
+
],
|
| 10 |
+
"answer": "C",
|
| 11 |
+
"camera_name": "view_011",
|
| 12 |
+
"camera_position": [
|
| 13 |
+
-0.0,
|
| 14 |
+
-0.0,
|
| 15 |
+
0.0
|
| 16 |
+
],
|
| 17 |
+
"camera_look_at": [
|
| 18 |
+
-4.829628944396973,
|
| 19 |
+
-8.36516284942627,
|
| 20 |
+
-2.5881905555725098
|
| 21 |
+
],
|
| 22 |
+
"object": {
|
| 23 |
+
"label": "table",
|
| 24 |
+
"id": "table_0",
|
| 25 |
+
"centroid": [
|
| 26 |
+
0.22999636828899384,
|
| 27 |
+
-2.109790802001953,
|
| 28 |
+
-0.86669921875
|
| 29 |
+
],
|
| 30 |
+
"image_u": 0.116,
|
| 31 |
+
"image_v": 0.715,
|
| 32 |
+
"width": 1.408618152141571,
|
| 33 |
+
"length": 1.426513671875,
|
| 34 |
+
"height": 0.072265625
|
| 35 |
+
},
|
| 36 |
+
"scene_id": "0191_txt_6b98c5e19b09",
|
| 37 |
+
"layout_path": null,
|
| 38 |
+
"image_path": "question_image_3.jpg"
|
| 39 |
+
}
|
0191_txt_6b98c5e19b09/tasks/005_camera_object_position/question_4.json
ADDED
|
@@ -0,0 +1,39 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"type": "camera_object_position",
|
| 3 |
+
"question": "How is object power outlet (bbox) situated with respect to the observer's main viewpoint? Calculate or judge based on the 3D center points of these objects. Select the correct response from the given choices.",
|
| 4 |
+
"choices": [
|
| 5 |
+
"A. left, , front",
|
| 6 |
+
"B. right, above, behind",
|
| 7 |
+
"C. , below, ",
|
| 8 |
+
"D. left, above, front"
|
| 9 |
+
],
|
| 10 |
+
"answer": "D",
|
| 11 |
+
"camera_name": "view_007",
|
| 12 |
+
"camera_position": [
|
| 13 |
+
-0.0,
|
| 14 |
+
-0.0,
|
| 15 |
+
0.0
|
| 16 |
+
],
|
| 17 |
+
"camera_look_at": [
|
| 18 |
+
-4.829628944396973,
|
| 19 |
+
8.36516284942627,
|
| 20 |
+
-2.5881905555725098
|
| 21 |
+
],
|
| 22 |
+
"object": {
|
| 23 |
+
"label": "power outlet",
|
| 24 |
+
"id": "power outlet_0",
|
| 25 |
+
"centroid": [
|
| 26 |
+
-0.675118625164032,
|
| 27 |
+
0.6183531284332275,
|
| 28 |
+
0.10104736685752869
|
| 29 |
+
],
|
| 30 |
+
"image_u": 0.306,
|
| 31 |
+
"image_v": 0.095,
|
| 32 |
+
"width": 0.066162109375,
|
| 33 |
+
"length": 0.12953126430511475,
|
| 34 |
+
"height": 0.18158692121505737
|
| 35 |
+
},
|
| 36 |
+
"scene_id": "0191_txt_6b98c5e19b09",
|
| 37 |
+
"layout_path": null,
|
| 38 |
+
"image_path": "question_image_4.jpg"
|
| 39 |
+
}
|
0191_txt_6b98c5e19b09/tasks/005_camera_object_position/question_5.json
ADDED
|
@@ -0,0 +1,39 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"type": "camera_object_position",
|
| 3 |
+
"question": "Where is table (bbox) located relative to the camera's center of view? Calculate or judge based on the 3D center points of these objects. Choose the correct answer.",
|
| 4 |
+
"choices": [
|
| 5 |
+
"A. , , ",
|
| 6 |
+
"B. right, , ",
|
| 7 |
+
"C. left, below, behind",
|
| 8 |
+
"D. right, below, front"
|
| 9 |
+
],
|
| 10 |
+
"answer": "D",
|
| 11 |
+
"camera_name": "view_001",
|
| 12 |
+
"camera_position": [
|
| 13 |
+
-0.0,
|
| 14 |
+
-0.0,
|
| 15 |
+
0.0
|
| 16 |
+
],
|
| 17 |
+
"camera_look_at": [
|
| 18 |
+
4.829628944396973,
|
| 19 |
+
-8.36516284942627,
|
| 20 |
+
-2.5881905555725098
|
| 21 |
+
],
|
| 22 |
+
"object": {
|
| 23 |
+
"label": "table",
|
| 24 |
+
"id": "table_0",
|
| 25 |
+
"centroid": [
|
| 26 |
+
0.22999636828899384,
|
| 27 |
+
-2.109790802001953,
|
| 28 |
+
-0.86669921875
|
| 29 |
+
],
|
| 30 |
+
"image_u": 0.734,
|
| 31 |
+
"image_v": 0.663,
|
| 32 |
+
"width": 1.408618152141571,
|
| 33 |
+
"length": 1.426513671875,
|
| 34 |
+
"height": 0.072265625
|
| 35 |
+
},
|
| 36 |
+
"scene_id": "0191_txt_6b98c5e19b09",
|
| 37 |
+
"layout_path": null,
|
| 38 |
+
"image_path": "question_image_5.jpg"
|
| 39 |
+
}
|
0191_txt_6b98c5e19b09/tasks/005_camera_object_position/question_6.json
ADDED
|
@@ -0,0 +1,39 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"type": "camera_object_position",
|
| 3 |
+
"question": "Relative to the camera's forward direction, where is backpack (bbox)? Calculate or judge based on the 3D center points of these objects. Select the appropriate choice.",
|
| 4 |
+
"choices": [
|
| 5 |
+
"A. left, below, front",
|
| 6 |
+
"B. , below, ",
|
| 7 |
+
"C. left, above, behind",
|
| 8 |
+
"D. left, , front"
|
| 9 |
+
],
|
| 10 |
+
"answer": "A",
|
| 11 |
+
"camera_name": "view_009",
|
| 12 |
+
"camera_position": [
|
| 13 |
+
-0.0,
|
| 14 |
+
-0.0,
|
| 15 |
+
0.0
|
| 16 |
+
],
|
| 17 |
+
"camera_look_at": [
|
| 18 |
+
-9.659257888793945,
|
| 19 |
+
1.774377005765162e-15,
|
| 20 |
+
-2.5881905555725098
|
| 21 |
+
],
|
| 22 |
+
"object": {
|
| 23 |
+
"label": "backpack",
|
| 24 |
+
"id": "backpack_0",
|
| 25 |
+
"centroid": [
|
| 26 |
+
-1.8054791688919067,
|
| 27 |
+
-1.5595252513885498,
|
| 28 |
+
-1.5760499238967896
|
| 29 |
+
],
|
| 30 |
+
"image_u": 0.083,
|
| 31 |
+
"image_v": 1.001,
|
| 32 |
+
"width": 0.545166015625,
|
| 33 |
+
"length": 0.7273147106170654,
|
| 34 |
+
"height": 1.1291701793670654
|
| 35 |
+
},
|
| 36 |
+
"scene_id": "0191_txt_6b98c5e19b09",
|
| 37 |
+
"layout_path": null,
|
| 38 |
+
"image_path": "question_image_6.jpg"
|
| 39 |
+
}
|
0191_txt_6b98c5e19b09/tasks/005_camera_object_position/question_7.json
ADDED
|
@@ -0,0 +1,39 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"type": "camera_object_position",
|
| 3 |
+
"question": "What is the spatial position of backpack (bbox) from the observer's main viewing angle? Calculate or judge based on the 3D center points of these objects. Select one option.",
|
| 4 |
+
"choices": [
|
| 5 |
+
"A. , , behind",
|
| 6 |
+
"B. , above, front",
|
| 7 |
+
"C. right, below, front",
|
| 8 |
+
"D. , below, "
|
| 9 |
+
],
|
| 10 |
+
"answer": "C",
|
| 11 |
+
"camera_name": "view_011",
|
| 12 |
+
"camera_position": [
|
| 13 |
+
-0.0,
|
| 14 |
+
-0.0,
|
| 15 |
+
0.0
|
| 16 |
+
],
|
| 17 |
+
"camera_look_at": [
|
| 18 |
+
-4.829628944396973,
|
| 19 |
+
-8.36516284942627,
|
| 20 |
+
-2.5881905555725098
|
| 21 |
+
],
|
| 22 |
+
"object": {
|
| 23 |
+
"label": "backpack",
|
| 24 |
+
"id": "backpack_0",
|
| 25 |
+
"centroid": [
|
| 26 |
+
-1.8054791688919067,
|
| 27 |
+
-1.5595252513885498,
|
| 28 |
+
-1.5760499238967896
|
| 29 |
+
],
|
| 30 |
+
"image_u": 0.674,
|
| 31 |
+
"image_v": 0.872,
|
| 32 |
+
"width": 0.545166015625,
|
| 33 |
+
"length": 0.7273147106170654,
|
| 34 |
+
"height": 1.1291701793670654
|
| 35 |
+
},
|
| 36 |
+
"scene_id": "0191_txt_6b98c5e19b09",
|
| 37 |
+
"layout_path": null,
|
| 38 |
+
"image_path": "question_image_7.jpg"
|
| 39 |
+
}
|
0191_txt_6b98c5e19b09/tasks/007_object_size/question_0.json
ADDED
|
@@ -0,0 +1,31 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"type": "object_size",
|
| 3 |
+
"question": "Measure the longest dimension (length, width, or height) of the table. Answer in centimeters.",
|
| 4 |
+
"answer": "157.0",
|
| 5 |
+
"camera_name": "rand_054",
|
| 6 |
+
"camera_position": [
|
| 7 |
+
-0.6473175898277054,
|
| 8 |
+
-0.4640248619753574,
|
| 9 |
+
-0.7369881030611953
|
| 10 |
+
],
|
| 11 |
+
"camera_look_at": [
|
| 12 |
+
0.9166389907022021,
|
| 13 |
+
5.015706978047933,
|
| 14 |
+
-0.8271851173783487
|
| 15 |
+
],
|
| 16 |
+
"object": {
|
| 17 |
+
"label": "table",
|
| 18 |
+
"id": "table_1",
|
| 19 |
+
"centroid": [
|
| 20 |
+
2.372511148452759,
|
| 21 |
+
3.8421995639801025,
|
| 22 |
+
-1.4584716856479645
|
| 23 |
+
],
|
| 24 |
+
"width": 1.2918360233306885,
|
| 25 |
+
"length": 1.4050788879394531,
|
| 26 |
+
"height": 1.56846684217453
|
| 27 |
+
},
|
| 28 |
+
"scene_id": "0191_txt_6b98c5e19b09",
|
| 29 |
+
"layout_path": null,
|
| 30 |
+
"image_path": "question_image_0.jpg"
|
| 31 |
+
}
|
0191_txt_6b98c5e19b09/tasks/007_object_size/question_1.json
ADDED
|
@@ -0,0 +1,31 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"type": "object_size",
|
| 3 |
+
"question": "How many centimeters is the longest dimension of the table?",
|
| 4 |
+
"answer": "157.0",
|
| 5 |
+
"camera_name": "rand_031",
|
| 6 |
+
"camera_position": [
|
| 7 |
+
-0.3380365238999966,
|
| 8 |
+
-0.133322884317565,
|
| 9 |
+
-1.3860476430378916
|
| 10 |
+
],
|
| 11 |
+
"camera_look_at": [
|
| 12 |
+
2.671476142640789,
|
| 13 |
+
5.046447469145334,
|
| 14 |
+
-1.5054306579354777
|
| 15 |
+
],
|
| 16 |
+
"object": {
|
| 17 |
+
"label": "table",
|
| 18 |
+
"id": "table_1",
|
| 19 |
+
"centroid": [
|
| 20 |
+
2.372511148452759,
|
| 21 |
+
3.8421995639801025,
|
| 22 |
+
-1.4584716856479645
|
| 23 |
+
],
|
| 24 |
+
"width": 1.2918360233306885,
|
| 25 |
+
"length": 1.4050788879394531,
|
| 26 |
+
"height": 1.56846684217453
|
| 27 |
+
},
|
| 28 |
+
"scene_id": "0191_txt_6b98c5e19b09",
|
| 29 |
+
"layout_path": null,
|
| 30 |
+
"image_path": "question_image_1.jpg"
|
| 31 |
+
}
|
0191_txt_6b98c5e19b09/tasks/007_object_size/question_2.json
ADDED
|
@@ -0,0 +1,31 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"type": "object_size",
|
| 3 |
+
"question": "What is the maximum dimension of the power outlet in centimeters?",
|
| 4 |
+
"answer": "18.0",
|
| 5 |
+
"camera_name": "view_007",
|
| 6 |
+
"camera_position": [
|
| 7 |
+
-0.0,
|
| 8 |
+
-0.0,
|
| 9 |
+
0.0
|
| 10 |
+
],
|
| 11 |
+
"camera_look_at": [
|
| 12 |
+
-4.829628944396973,
|
| 13 |
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|
| 14 |
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|
| 15 |
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],
|
| 16 |
+
"object": {
|
| 17 |
+
"label": "power outlet",
|
| 18 |
+
"id": "power outlet_0",
|
| 19 |
+
"centroid": [
|
| 20 |
+
-0.675118625164032,
|
| 21 |
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|
| 22 |
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|
| 23 |
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],
|
| 24 |
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"width": 0.066162109375,
|
| 25 |
+
"length": 0.12953126430511475,
|
| 26 |
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"height": 0.18158692121505737
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| 27 |
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},
|
| 28 |
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"scene_id": "0191_txt_6b98c5e19b09",
|
| 29 |
+
"layout_path": null,
|
| 30 |
+
"image_path": "question_image_2.jpg"
|
| 31 |
+
}
|
0191_txt_6b98c5e19b09/tasks/007_object_size/question_3.json
ADDED
|
@@ -0,0 +1,31 @@
|
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|
|
|
| 1 |
+
{
|
| 2 |
+
"type": "object_size",
|
| 3 |
+
"question": "What is the length of the longest dimension (length, width, or height) of the table, measured in centimeters?",
|
| 4 |
+
"answer": "143.0",
|
| 5 |
+
"camera_name": "rand_002",
|
| 6 |
+
"camera_position": [
|
| 7 |
+
1.829115521394987,
|
| 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 |
+
-1.0492701604979302
|
| 15 |
+
],
|
| 16 |
+
"object": {
|
| 17 |
+
"label": "table",
|
| 18 |
+
"id": "table_0",
|
| 19 |
+
"centroid": [
|
| 20 |
+
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|
| 21 |
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|
| 22 |
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-0.86669921875
|
| 23 |
+
],
|
| 24 |
+
"width": 1.408618152141571,
|
| 25 |
+
"length": 1.426513671875,
|
| 26 |
+
"height": 0.072265625
|
| 27 |
+
},
|
| 28 |
+
"scene_id": "0191_txt_6b98c5e19b09",
|
| 29 |
+
"layout_path": null,
|
| 30 |
+
"image_path": "question_image_3.jpg"
|
| 31 |
+
}
|
0191_txt_6b98c5e19b09/tasks/007_object_size/question_4.json
ADDED
|
@@ -0,0 +1,31 @@
|
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|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"type": "object_size",
|
| 3 |
+
"question": "How many centimeters is the longest dimension of the backpack?",
|
| 4 |
+
"answer": "113.0",
|
| 5 |
+
"camera_name": "rand_040",
|
| 6 |
+
"camera_position": [
|
| 7 |
+
1.8974402952110867,
|
| 8 |
+
2.2913142515328886,
|
| 9 |
+
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|
| 10 |
+
],
|
| 11 |
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"camera_look_at": [
|
| 12 |
+
0.22865615857617705,
|
| 13 |
+
-2.0886291147881417,
|
| 14 |
+
-0.8521019836412966
|
| 15 |
+
],
|
| 16 |
+
"object": {
|
| 17 |
+
"label": "backpack",
|
| 18 |
+
"id": "backpack_0",
|
| 19 |
+
"centroid": [
|
| 20 |
+
-1.8054791688919067,
|
| 21 |
+
-1.5595252513885498,
|
| 22 |
+
-1.5760499238967896
|
| 23 |
+
],
|
| 24 |
+
"width": 0.545166015625,
|
| 25 |
+
"length": 0.7273147106170654,
|
| 26 |
+
"height": 1.1291701793670654
|
| 27 |
+
},
|
| 28 |
+
"scene_id": "0191_txt_6b98c5e19b09",
|
| 29 |
+
"layout_path": null,
|
| 30 |
+
"image_path": "question_image_4.jpg"
|
| 31 |
+
}
|
0191_txt_6b98c5e19b09/tasks/007_object_size/question_5.json
ADDED
|
@@ -0,0 +1,31 @@
|
|
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|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"type": "object_size",
|
| 3 |
+
"question": "How many centimeters is the longest dimension of the artwork?",
|
| 4 |
+
"answer": "60.0",
|
| 5 |
+
"camera_name": "view_002",
|
| 6 |
+
"camera_position": [
|
| 7 |
+
-0.0,
|
| 8 |
+
-0.0,
|
| 9 |
+
0.0
|
| 10 |
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],
|
| 11 |
+
"camera_look_at": [
|
| 12 |
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8.36516284942627,
|
| 13 |
+
-4.829628944396973,
|
| 14 |
+
-2.5881905555725098
|
| 15 |
+
],
|
| 16 |
+
"object": {
|
| 17 |
+
"label": "artwork",
|
| 18 |
+
"id": "artwork_0",
|
| 19 |
+
"centroid": [
|
| 20 |
+
1.8485922813415527,
|
| 21 |
+
-2.2352962493896484,
|
| 22 |
+
0.885424792766571
|
| 23 |
+
],
|
| 24 |
+
"width": 0.223388671875,
|
| 25 |
+
"length": 0.6025879383087158,
|
| 26 |
+
"height": 0.1580566167831421
|
| 27 |
+
},
|
| 28 |
+
"scene_id": "0191_txt_6b98c5e19b09",
|
| 29 |
+
"layout_path": null,
|
| 30 |
+
"image_path": "question_image_5.jpg"
|
| 31 |
+
}
|
0191_txt_6b98c5e19b09/tasks/007_object_size/question_6.json
ADDED
|
@@ -0,0 +1,31 @@
|
|
|
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|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"type": "object_size",
|
| 3 |
+
"question": "How many centimeters is the longest dimension of the table?",
|
| 4 |
+
"answer": "143.0",
|
| 5 |
+
"camera_name": "rand_027",
|
| 6 |
+
"camera_position": [
|
| 7 |
+
0.9057322283898609,
|
| 8 |
+
2.401585957348253,
|
| 9 |
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|
| 10 |
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],
|
| 11 |
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"camera_look_at": [
|
| 12 |
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0.29889539425176825,
|
| 13 |
+
-2.127118105069478,
|
| 14 |
+
-1.1131133124882746
|
| 15 |
+
],
|
| 16 |
+
"object": {
|
| 17 |
+
"label": "table",
|
| 18 |
+
"id": "table_0",
|
| 19 |
+
"centroid": [
|
| 20 |
+
0.22999636828899384,
|
| 21 |
+
-2.109790802001953,
|
| 22 |
+
-0.86669921875
|
| 23 |
+
],
|
| 24 |
+
"width": 1.408618152141571,
|
| 25 |
+
"length": 1.426513671875,
|
| 26 |
+
"height": 0.072265625
|
| 27 |
+
},
|
| 28 |
+
"scene_id": "0191_txt_6b98c5e19b09",
|
| 29 |
+
"layout_path": null,
|
| 30 |
+
"image_path": "question_image_6.jpg"
|
| 31 |
+
}
|
0191_txt_6b98c5e19b09/tasks/007_object_size/question_7.json
ADDED
|
@@ -0,0 +1,31 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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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": "object_size",
|
| 3 |
+
"question": "How long is the largest dimension of the power outlet in centimeters?",
|
| 4 |
+
"answer": "18.0",
|
| 5 |
+
"camera_name": "view_007",
|
| 6 |
+
"camera_position": [
|
| 7 |
+
-0.0,
|
| 8 |
+
-0.0,
|
| 9 |
+
0.0
|
| 10 |
+
],
|
| 11 |
+
"camera_look_at": [
|
| 12 |
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-4.829628944396973,
|
| 13 |
+
8.36516284942627,
|
| 14 |
+
-2.5881905555725098
|
| 15 |
+
],
|
| 16 |
+
"object": {
|
| 17 |
+
"label": "power outlet",
|
| 18 |
+
"id": "power outlet_0",
|
| 19 |
+
"centroid": [
|
| 20 |
+
-0.675118625164032,
|
| 21 |
+
0.6183531284332275,
|
| 22 |
+
0.10104736685752869
|
| 23 |
+
],
|
| 24 |
+
"width": 0.066162109375,
|
| 25 |
+
"length": 0.12953126430511475,
|
| 26 |
+
"height": 0.18158692121505737
|
| 27 |
+
},
|
| 28 |
+
"scene_id": "0191_txt_6b98c5e19b09",
|
| 29 |
+
"layout_path": null,
|
| 30 |
+
"image_path": "question_image_7.jpg"
|
| 31 |
+
}
|
0191_txt_6b98c5e19b09/tasks/007_object_size/question_8.json
ADDED
|
@@ -0,0 +1,31 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"type": "object_size",
|
| 3 |
+
"question": "Measure the longest dimension (length, width, or height) of the artwork. Answer in centimeters.",
|
| 4 |
+
"answer": "60.0",
|
| 5 |
+
"camera_name": "view_001",
|
| 6 |
+
"camera_position": [
|
| 7 |
+
-0.0,
|
| 8 |
+
-0.0,
|
| 9 |
+
0.0
|
| 10 |
+
],
|
| 11 |
+
"camera_look_at": [
|
| 12 |
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4.829628944396973,
|
| 13 |
+
-8.36516284942627,
|
| 14 |
+
-2.5881905555725098
|
| 15 |
+
],
|
| 16 |
+
"object": {
|
| 17 |
+
"label": "artwork",
|
| 18 |
+
"id": "artwork_0",
|
| 19 |
+
"centroid": [
|
| 20 |
+
1.8485922813415527,
|
| 21 |
+
-2.2352962493896484,
|
| 22 |
+
0.885424792766571
|
| 23 |
+
],
|
| 24 |
+
"width": 0.223388671875,
|
| 25 |
+
"length": 0.6025879383087158,
|
| 26 |
+
"height": 0.1580566167831421
|
| 27 |
+
},
|
| 28 |
+
"scene_id": "0191_txt_6b98c5e19b09",
|
| 29 |
+
"layout_path": null,
|
| 30 |
+
"image_path": "question_image_8.jpg"
|
| 31 |
+
}
|