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  1. 0239_txt_b72ba4077d48/tasks/001_depth_estimation/question_0.json +32 -0
  2. 0239_txt_b72ba4077d48/tasks/001_depth_estimation/question_1.json +32 -0
  3. 0239_txt_b72ba4077d48/tasks/001_depth_estimation/question_10.json +32 -0
  4. 0239_txt_b72ba4077d48/tasks/001_depth_estimation/question_11.json +32 -0
  5. 0239_txt_b72ba4077d48/tasks/001_depth_estimation/question_12.json +32 -0
  6. 0239_txt_b72ba4077d48/tasks/001_depth_estimation/question_13.json +32 -0
  7. 0239_txt_b72ba4077d48/tasks/001_depth_estimation/question_14.json +32 -0
  8. 0239_txt_b72ba4077d48/tasks/001_depth_estimation/question_15.json +32 -0
  9. 0239_txt_b72ba4077d48/tasks/001_depth_estimation/question_16.json +32 -0
  10. 0239_txt_b72ba4077d48/tasks/001_depth_estimation/question_17.json +32 -0
  11. 0239_txt_b72ba4077d48/tasks/001_depth_estimation/question_18.json +32 -0
  12. 0239_txt_b72ba4077d48/tasks/001_depth_estimation/question_19.json +32 -0
  13. 0239_txt_b72ba4077d48/tasks/001_depth_estimation/question_2.json +32 -0
  14. 0239_txt_b72ba4077d48/tasks/001_depth_estimation/question_20.json +32 -0
  15. 0239_txt_b72ba4077d48/tasks/001_depth_estimation/question_21.json +32 -0
  16. 0239_txt_b72ba4077d48/tasks/001_depth_estimation/question_22.json +32 -0
  17. 0239_txt_b72ba4077d48/tasks/001_depth_estimation/question_23.json +32 -0
  18. 0239_txt_b72ba4077d48/tasks/001_depth_estimation/question_24.json +32 -0
  19. 0239_txt_b72ba4077d48/tasks/001_depth_estimation/question_25.json +32 -0
  20. 0239_txt_b72ba4077d48/tasks/001_depth_estimation/question_26.json +32 -0
  21. 0239_txt_b72ba4077d48/tasks/001_depth_estimation/question_27.json +32 -0
  22. 0239_txt_b72ba4077d48/tasks/001_depth_estimation/question_28.json +32 -0
  23. 0239_txt_b72ba4077d48/tasks/001_depth_estimation/question_29.json +32 -0
  24. 0239_txt_b72ba4077d48/tasks/001_depth_estimation/question_3.json +32 -0
  25. 0239_txt_b72ba4077d48/tasks/001_depth_estimation/question_30.json +32 -0
  26. 0239_txt_b72ba4077d48/tasks/001_depth_estimation/question_31.json +32 -0
  27. 0239_txt_b72ba4077d48/tasks/001_depth_estimation/question_32.json +32 -0
  28. 0239_txt_b72ba4077d48/tasks/001_depth_estimation/question_33.json +32 -0
  29. 0239_txt_b72ba4077d48/tasks/001_depth_estimation/question_34.json +32 -0
  30. 0239_txt_b72ba4077d48/tasks/001_depth_estimation/question_35.json +32 -0
  31. 0239_txt_b72ba4077d48/tasks/001_depth_estimation/question_36.json +32 -0
  32. 0239_txt_b72ba4077d48/tasks/001_depth_estimation/question_37.json +32 -0
  33. 0239_txt_b72ba4077d48/tasks/001_depth_estimation/question_38.json +32 -0
  34. 0239_txt_b72ba4077d48/tasks/001_depth_estimation/question_39.json +32 -0
  35. 0239_txt_b72ba4077d48/tasks/001_depth_estimation/question_4.json +32 -0
  36. 0239_txt_b72ba4077d48/tasks/001_depth_estimation/question_40.json +32 -0
  37. 0239_txt_b72ba4077d48/tasks/001_depth_estimation/question_41.json +32 -0
  38. 0239_txt_b72ba4077d48/tasks/001_depth_estimation/question_42.json +32 -0
  39. 0239_txt_b72ba4077d48/tasks/001_depth_estimation/question_43.json +32 -0
  40. 0239_txt_b72ba4077d48/tasks/001_depth_estimation/question_44.json +32 -0
  41. 0239_txt_b72ba4077d48/tasks/001_depth_estimation/question_45.json +32 -0
  42. 0239_txt_b72ba4077d48/tasks/001_depth_estimation/question_46.json +32 -0
  43. 0239_txt_b72ba4077d48/tasks/001_depth_estimation/question_5.json +32 -0
  44. 0239_txt_b72ba4077d48/tasks/001_depth_estimation/question_6.json +32 -0
  45. 0239_txt_b72ba4077d48/tasks/001_depth_estimation/question_7.json +32 -0
  46. 0239_txt_b72ba4077d48/tasks/001_depth_estimation/question_8.json +32 -0
  47. 0239_txt_b72ba4077d48/tasks/001_depth_estimation/question_9.json +32 -0
  48. 0239_txt_b72ba4077d48/tasks/003_object_distance/question_1.json +47 -0
  49. 0239_txt_b72ba4077d48/tasks/003_object_distance/question_12.json +47 -0
  50. 0239_txt_b72ba4077d48/tasks/003_object_distance/question_13.json +47 -0
0239_txt_b72ba4077d48/tasks/001_depth_estimation/question_0.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "depth_estimation",
3
+ "question": "Report the depth of the shelf (red point) in meters. Calculate or judge based on the 3D center points of these objects. Provide only the numerical value.",
4
+ "answer": "1.79",
5
+ "camera_name": "rand_046",
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+ "camera_position": [
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+ ],
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+ "object": {
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+ "label": "shelf",
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+ "id": "shelf_1",
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+ "centroid": [
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+ ],
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+ "depth": 1.79,
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+ "length": 0.9253612756729126,
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+ "height": 0.07522949576377869
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+ "layout_path": null,
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+ "image_path": "question_image_0.jpg"
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+ }
0239_txt_b72ba4077d48/tasks/001_depth_estimation/question_1.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "depth_estimation",
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+ "question": "Determine the depth of the photo (red point) in meters. Calculate or judge based on the 3D center points of these objects. Provide a single numerical answer.",
4
+ "answer": "1.01",
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+ "camera_name": "view_003",
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+ "camera_position": [
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+ -0.0,
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+ -0.0,
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+ 0.0
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+ ],
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+ "camera_look_at": [
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+ ],
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+ "object": {
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+ "label": "photo",
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+ "id": "photo_2",
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+ "centroid": [
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+ 0.9343600273132324,
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+ "depth": 1.01,
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+ "width": 0.5647362470626831,
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+ "length": 0.45330071449279785,
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+ "height": 1.5678026974201202
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+ },
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+ "scene_id": "0239_txt_b72ba4077d48",
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+ "layout_path": null,
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+ "image_path": "question_image_1.jpg"
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+ }
0239_txt_b72ba4077d48/tasks/001_depth_estimation/question_10.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
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+ "type": "depth_estimation",
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+ "question": "Calculate the depth of the tissue box (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.",
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+ "answer": "1.47",
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+ "camera_name": "rand_012",
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+ "camera_position": [
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+ ],
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+ "object": {
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+ "label": "tissue box",
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+ "id": "tissue box_0",
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+ ],
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+ "depth": 1.47,
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+ "length": 0.28137701749801636,
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+ "height": 0.12516599893569946
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+ },
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+ "scene_id": "0239_txt_b72ba4077d48",
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+ "layout_path": null,
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+ "image_path": "question_image_10.jpg"
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+ }
0239_txt_b72ba4077d48/tasks/001_depth_estimation/question_11.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
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+ "type": "depth_estimation",
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+ "question": "Determine the depth of the box (red point) in meters. Calculate or judge based on the 3D center points of these objects. Provide a single numerical answer.",
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+ "answer": "1.19",
5
+ "camera_name": "rand_058",
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+ "camera_position": [
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+ 0.6649564375067484,
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+ -0.7663913681592024,
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+ ],
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+ "camera_look_at": [
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+ ],
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+ "object": {
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+ "id": "box_0",
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+ "centroid": [
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+ ],
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+ "height": 0.44086456298828125
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+ },
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+ "scene_id": "0239_txt_b72ba4077d48",
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+ "layout_path": null,
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+ "image_path": "question_image_11.jpg"
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+ }
0239_txt_b72ba4077d48/tasks/001_depth_estimation/question_12.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
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+ "type": "depth_estimation",
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+ "question": "What is the distance along the camera's viewing direction to the chair (red point)? Calculate or judge based on the 3D center points of these objects. Answer in meters, number only.",
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+ "answer": "1.47",
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+ "camera_name": "view_001",
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+ "camera_position": [
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+ -0.0,
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+ -0.0,
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+ 0.0
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+ ],
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+ ],
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+ "object": {
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+ "label": "chair",
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+ "id": "chair_0",
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+ "centroid": [
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+ -1.3398154973983765,
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+ ],
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+ "depth": 1.47,
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+ "width": 0.8229103088378906,
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+ "length": 0.5543556213378906,
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+ "height": 0.6681251525878906
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+ },
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+ "scene_id": "0239_txt_b72ba4077d48",
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+ "layout_path": null,
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+ "image_path": "question_image_12.jpg"
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+ }
0239_txt_b72ba4077d48/tasks/001_depth_estimation/question_13.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "depth_estimation",
3
+ "question": "Report the depth of the book (red point) in meters. Calculate or judge based on the 3D center points of these objects. Provide only the numerical value.",
4
+ "answer": "1.63",
5
+ "camera_name": "rand_062",
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+ "camera_position": [
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+ 1.1680464999382616,
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+ -0.7034073190912127,
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+ -0.4255131328083195
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+ ],
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+ "camera_look_at": [
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+ 0.6347903070114391,
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+ -1.4728648378672573,
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+ -0.9080852575666725
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+ ],
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+ "object": {
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+ "label": "book",
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+ "id": "book_2",
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+ "centroid": [
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+ 0.6573570370674133,
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+ -2.5501480102539062,
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+ -0.4692626893520355
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+ ],
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+ "depth": 1.63,
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+ "width": 0.3348633050918579,
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+ "length": 0.41513681411743164,
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+ "height": 0.051806628704071045
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+ },
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+ "scene_id": "0239_txt_b72ba4077d48",
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+ "layout_path": null,
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+ "image_path": "question_image_13.jpg"
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+ }
0239_txt_b72ba4077d48/tasks/001_depth_estimation/question_14.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "depth_estimation",
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+ "question": "Report the depth of the shelf (red point) in meters. Calculate or judge based on the 3D center points of these objects. Provide only the numerical value.",
4
+ "answer": "1.39",
5
+ "camera_name": "rand_020",
6
+ "camera_position": [
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+ 0.7037591953201373,
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+ -0.718272168233749,
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+ -0.41109346239104827
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+ ],
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+ "camera_look_at": [
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+ 1.6295511300691152,
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+ -0.5361422470056578
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+ ],
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+ "object": {
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+ "label": "shelf",
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+ "id": "shelf_0",
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+ "centroid": [
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+ 0.8857706189155579,
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+ 0.734611988067627,
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+ -0.4510498046875
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+ ],
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+ "depth": 1.39,
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+ "width": 1.0848437547683716,
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+ "length": 1.0363867282867432,
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+ "height": 1.504638671875
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+ },
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+ "scene_id": "0239_txt_b72ba4077d48",
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+ "layout_path": null,
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+ "image_path": "question_image_14.jpg"
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+ }
0239_txt_b72ba4077d48/tasks/001_depth_estimation/question_15.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "depth_estimation",
3
+ "question": "How deep is the book (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": "2.22",
5
+ "camera_name": "rand_006",
6
+ "camera_position": [
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+ 0.5771473168295401,
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+ -1.3175779933543916,
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+ -0.7566170476448053
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+ ],
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+ "camera_look_at": [
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+ 0.9169026278412001,
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+ 0.7873493091891719,
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+ -0.8971077453476332
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+ ],
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+ "object": {
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+ "label": "book",
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+ "id": "book_1",
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+ "centroid": [
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+ 0.5308487415313721,
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+ 0.9819958806037903,
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+ -0.20254638604819775
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+ ],
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+ "depth": 2.22,
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+ "width": 0.451904296875,
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+ "length": 0.48986339569091797,
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+ "height": 0.5118994154036045
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+ },
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+ "scene_id": "0239_txt_b72ba4077d48",
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+ "layout_path": null,
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+ "image_path": "question_image_15.jpg"
32
+ }
0239_txt_b72ba4077d48/tasks/001_depth_estimation/question_16.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
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+ "type": "depth_estimation",
3
+ "question": "What is the distance along the camera's viewing direction to the photo (red point)? Calculate or judge based on the 3D center points of these objects. Answer in meters, number only.",
4
+ "answer": "2.24",
5
+ "camera_name": "rand_051",
6
+ "camera_position": [
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+ 0.5296281730316958,
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+ 0.6715865458116252,
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+ -0.4664356021527256
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+ ],
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+ "camera_look_at": [
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+ -1.0937283564786897,
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+ -0.23175365592600472,
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+ -0.6209999040045974
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+ ],
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+ "object": {
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+ "label": "photo",
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+ "id": "photo_3",
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+ "centroid": [
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+ -0.9069451689720154,
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+ -1.4368290901184082,
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+ -0.1190185546875
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+ ],
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+ "depth": 2.24,
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+ "width": 0.42116212844848633,
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+ "length": 0.41357421875,
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+ "height": 0.215087890625
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+ },
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+ "scene_id": "0239_txt_b72ba4077d48",
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+ "layout_path": null,
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+ "image_path": "question_image_16.jpg"
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+ }
0239_txt_b72ba4077d48/tasks/001_depth_estimation/question_17.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "depth_estimation",
3
+ "question": "What depth value in meters corresponds to the bookshelf (red point)? Calculate or judge based on the 3D center points of these objects. Answer with a number only.",
4
+ "answer": "2.2",
5
+ "camera_name": "rand_038",
6
+ "camera_position": [
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+ -0.2811781792541255,
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+ -0.8493343420959873,
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+ -0.5641272586839721
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+ ],
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+ "camera_look_at": [
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+ 1.3640660943258025,
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+ 0.6182413398597877,
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+ -0.6381168772505004
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+ ],
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+ "object": {
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+ "label": "bookshelf",
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+ "id": "bookshelf_0",
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+ "centroid": [
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+ 1.313517451286316,
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+ 0.6787940263748169,
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+ -0.4371338188648224
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+ ],
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+ "depth": 2.2,
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+ "width": 1.473808765411377,
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+ "length": 1.17041015625,
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+ "height": 1.4363965392112732
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+ },
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+ "scene_id": "0239_txt_b72ba4077d48",
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+ "layout_path": null,
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+ "image_path": "question_image_17.jpg"
32
+ }
0239_txt_b72ba4077d48/tasks/001_depth_estimation/question_18.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "depth_estimation",
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+ "question": "What depth value in meters corresponds to the photo (red point)? Calculate or judge based on the 3D center points of these objects. Answer with a number only.",
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+ "answer": "1.0",
5
+ "camera_name": "rand_061",
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+ "camera_position": [
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+ -0.31097115259028796,
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+ "camera_look_at": [
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+ ],
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+ "object": {
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+ "label": "photo",
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+ "id": "photo_6",
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+ "centroid": [
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+ 0.6169655919075012,
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+ "depth": 1.0,
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+ "width": 0.270263671875,
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+ "length": 0.2228027582168579,
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+ "height": 0.1683593988418579
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+ },
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+ "scene_id": "0239_txt_b72ba4077d48",
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+ "layout_path": null,
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+ "image_path": "question_image_18.jpg"
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+ }
0239_txt_b72ba4077d48/tasks/001_depth_estimation/question_19.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "depth_estimation",
3
+ "question": "Determine the depth of the book (red point) in meters. Calculate or judge based on the 3D center points of these objects. Provide a single numerical answer.",
4
+ "answer": "0.52",
5
+ "camera_name": "rand_037",
6
+ "camera_position": [
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+ 0.18026246252198483,
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+ -1.584162713548229,
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+ -0.44535557382250235
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+ ],
11
+ "camera_look_at": [
12
+ 0.950244356610906,
13
+ -1.0434022789684025,
14
+ -1.1781412258261168
15
+ ],
16
+ "object": {
17
+ "label": "book",
18
+ "id": "book_0",
19
+ "centroid": [
20
+ 0.7123234868049622,
21
+ -1.6936728954315186,
22
+ -0.8162841796875
23
+ ],
24
+ "depth": 0.52,
25
+ "width": 0.60400390625,
26
+ "length": 0.6007814407348633,
27
+ "height": 0.044189453125
28
+ },
29
+ "scene_id": "0239_txt_b72ba4077d48",
30
+ "layout_path": null,
31
+ "image_path": "question_image_19.jpg"
32
+ }
0239_txt_b72ba4077d48/tasks/001_depth_estimation/question_2.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "depth_estimation",
3
+ "question": "Report the depth of the sunglasses (red point) in meters. Calculate or judge based on the 3D center points of these objects. Provide only the numerical value.",
4
+ "answer": "0.9",
5
+ "camera_name": "rand_034",
6
+ "camera_position": [
7
+ -0.06873393698242636,
8
+ -0.17862034861933412,
9
+ -0.6182904998442451
10
+ ],
11
+ "camera_look_at": [
12
+ -0.9521084407858205,
13
+ 0.05397691707940011,
14
+ -1.056087475021078
15
+ ],
16
+ "object": {
17
+ "label": "sunglasses",
18
+ "id": "sunglasses_0",
19
+ "centroid": [
20
+ -1.103621244430542,
21
+ -0.1855262666940689,
22
+ -0.626220703125
23
+ ],
24
+ "depth": 0.9,
25
+ "width": 0.19189453125,
26
+ "length": 0.32426752895116806,
27
+ "height": 0.1015625
28
+ },
29
+ "scene_id": "0239_txt_b72ba4077d48",
30
+ "layout_path": null,
31
+ "image_path": "question_image_2.jpg"
32
+ }
0239_txt_b72ba4077d48/tasks/001_depth_estimation/question_20.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "depth_estimation",
3
+ "question": "Estimate the depth in meters of the shelf (red point). Calculate or judge based on the 3D center points of these objects. Respond with only a number.",
4
+ "answer": "0.93",
5
+ "camera_name": "rand_032",
6
+ "camera_position": [
7
+ 0.284192922675115,
8
+ -0.10587135720617859,
9
+ -0.5205758140629522
10
+ ],
11
+ "camera_look_at": [
12
+ 1.315107054236295,
13
+ 0.7130521589441567,
14
+ -0.6331600864492626
15
+ ],
16
+ "object": {
17
+ "label": "shelf",
18
+ "id": "shelf_1",
19
+ "centroid": [
20
+ 0.8900377750396729,
21
+ 0.6363433003425598,
22
+ -0.5077954083681107
23
+ ],
24
+ "depth": 0.93,
25
+ "width": 1.0875048637390137,
26
+ "length": 0.9253612756729126,
27
+ "height": 0.07522949576377869
28
+ },
29
+ "scene_id": "0239_txt_b72ba4077d48",
30
+ "layout_path": null,
31
+ "image_path": "question_image_20.jpg"
32
+ }
0239_txt_b72ba4077d48/tasks/001_depth_estimation/question_21.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "depth_estimation",
3
+ "question": "Measure the depth to the book (red point) in meters. Calculate or judge based on the 3D center points of these objects. Reply with a single number.",
4
+ "answer": "0.52",
5
+ "camera_name": "rand_037",
6
+ "camera_position": [
7
+ 0.18026246252198483,
8
+ -1.584162713548229,
9
+ -0.44535557382250235
10
+ ],
11
+ "camera_look_at": [
12
+ 0.950244356610906,
13
+ -1.0434022789684025,
14
+ -1.1781412258261168
15
+ ],
16
+ "object": {
17
+ "label": "book",
18
+ "id": "book_0",
19
+ "centroid": [
20
+ 0.7123234868049622,
21
+ -1.6936728954315186,
22
+ -0.8162841796875
23
+ ],
24
+ "depth": 0.52,
25
+ "width": 0.60400390625,
26
+ "length": 0.6007814407348633,
27
+ "height": 0.044189453125
28
+ },
29
+ "scene_id": "0239_txt_b72ba4077d48",
30
+ "layout_path": null,
31
+ "image_path": "question_image_21.jpg"
32
+ }
0239_txt_b72ba4077d48/tasks/001_depth_estimation/question_22.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "depth_estimation",
3
+ "question": "Calculate the depth of the tissue box (red point) from the camera viewpoint. Calculate or judge based on the 3D center points of these objects. State the answer in meters as one number.",
4
+ "answer": "1.01",
5
+ "camera_name": "rand_036",
6
+ "camera_position": [
7
+ -0.3937222216657502,
8
+ 0.08616888742931397,
9
+ -0.5913969405237585
10
+ ],
11
+ "camera_look_at": [
12
+ -1.0707375026220998,
13
+ 0.09909866956674931,
14
+ -1.1154735835383907
15
+ ],
16
+ "object": {
17
+ "label": "tissue box",
18
+ "id": "tissue box_0",
19
+ "centroid": [
20
+ -1.3447366952896118,
21
+ -0.7116829752922058,
22
+ -1.0291747748851776
23
+ ],
24
+ "depth": 1.01,
25
+ "width": 0.41841793060302734,
26
+ "length": 0.28137701749801636,
27
+ "height": 0.12516599893569946
28
+ },
29
+ "scene_id": "0239_txt_b72ba4077d48",
30
+ "layout_path": null,
31
+ "image_path": "question_image_22.jpg"
32
+ }
0239_txt_b72ba4077d48/tasks/001_depth_estimation/question_23.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "depth_estimation",
3
+ "question": "Measure the depth to the desk (red point) in meters. Calculate or judge based on the 3D center points of these objects. Reply with a single number.",
4
+ "answer": "1.55",
5
+ "camera_name": "rand_015",
6
+ "camera_position": [
7
+ 0.1457808872957322,
8
+ -1.491911034797295,
9
+ -0.4356079937295594
10
+ ],
11
+ "camera_look_at": [
12
+ -1.1874100549683981,
13
+ -0.2602540321452209,
14
+ -0.6227717888787263
15
+ ],
16
+ "object": {
17
+ "label": "desk",
18
+ "id": "desk_1",
19
+ "centroid": [
20
+ -1.1225066184997559,
21
+ -0.7050848007202148,
22
+ -1.3616747856140137
23
+ ],
24
+ "depth": 1.55,
25
+ "width": 0.5147509574890137,
26
+ "length": 0.7464404404163361,
27
+ "height": 0.5915136337280273
28
+ },
29
+ "scene_id": "0239_txt_b72ba4077d48",
30
+ "layout_path": null,
31
+ "image_path": "question_image_23.jpg"
32
+ }
0239_txt_b72ba4077d48/tasks/001_depth_estimation/question_24.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 photo (red point)? Calculate or judge based on the 3D center points of these objects. Answer in meters, number only.",
4
+ "answer": "1.97",
5
+ "camera_name": "rand_048",
6
+ "camera_position": [
7
+ -0.1841579864870168,
8
+ -1.2945613028295921,
9
+ -0.6359284880871503
10
+ ],
11
+ "camera_look_at": [
12
+ -0.6237315060139061,
13
+ 0.6253625016394899,
14
+ -0.7295127034144561
15
+ ],
16
+ "object": {
17
+ "label": "photo",
18
+ "id": "photo_1",
19
+ "centroid": [
20
+ -0.6066189408302307,
21
+ 0.6712506413459778,
22
+ 0.0865478515625
23
+ ],
24
+ "depth": 1.97,
25
+ "width": 0.47509765625,
26
+ "length": 0.533203125,
27
+ "height": 0.397705078125
28
+ },
29
+ "scene_id": "0239_txt_b72ba4077d48",
30
+ "layout_path": null,
31
+ "image_path": "question_image_24.jpg"
32
+ }
0239_txt_b72ba4077d48/tasks/001_depth_estimation/question_25.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "depth_estimation",
3
+ "question": "Determine the depth of the book (red point) in meters. Calculate or judge based on the 3D center points of these objects. Provide a single numerical answer.",
4
+ "answer": "1.98",
5
+ "camera_name": "rand_040",
6
+ "camera_position": [
7
+ -0.616662303696267,
8
+ -0.6527011484925835,
9
+ -0.5281970158801697
10
+ ],
11
+ "camera_look_at": [
12
+ 0.5110505755478629,
13
+ 0.9113441866380323,
14
+ -0.6323931391471173
15
+ ],
16
+ "object": {
17
+ "label": "book",
18
+ "id": "book_1",
19
+ "centroid": [
20
+ 0.5308487415313721,
21
+ 0.9819958806037903,
22
+ -0.20254638604819775
23
+ ],
24
+ "depth": 1.98,
25
+ "width": 0.451904296875,
26
+ "length": 0.48986339569091797,
27
+ "height": 0.5118994154036045
28
+ },
29
+ "scene_id": "0239_txt_b72ba4077d48",
30
+ "layout_path": null,
31
+ "image_path": "question_image_25.jpg"
32
+ }
0239_txt_b72ba4077d48/tasks/001_depth_estimation/question_26.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "depth_estimation",
3
+ "question": "Measure the depth to the bookshelf (red point) in meters. Calculate or judge based on the 3D center points of these objects. Reply with a single number.",
4
+ "answer": "2.11",
5
+ "camera_name": "rand_007",
6
+ "camera_position": [
7
+ 0.7474430276499611,
8
+ -0.9874959491868368,
9
+ -0.7007589900694631
10
+ ],
11
+ "camera_look_at": [
12
+ 1.2333614325811038,
13
+ 0.7511991107162219,
14
+ -0.8016419535960484
15
+ ],
16
+ "object": {
17
+ "label": "bookshelf",
18
+ "id": "bookshelf_1",
19
+ "centroid": [
20
+ 0.4178919792175293,
21
+ 1.2878831624984741,
22
+ -0.8674560785293579
23
+ ],
24
+ "depth": 2.11,
25
+ "width": 0.2975097894668579,
26
+ "length": 0.3392578363418579,
27
+ "height": 0.555908203125
28
+ },
29
+ "scene_id": "0239_txt_b72ba4077d48",
30
+ "layout_path": null,
31
+ "image_path": "question_image_26.jpg"
32
+ }
0239_txt_b72ba4077d48/tasks/001_depth_estimation/question_27.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "depth_estimation",
3
+ "question": "How deep is the light switch (red point) from the camera? Calculate or judge based on the 3D center points of these objects. Give the answer in meters as a single number.",
4
+ "answer": "1.85",
5
+ "camera_name": "rand_056",
6
+ "camera_position": [
7
+ 0.36609971939760455,
8
+ -0.7455716769041889,
9
+ -0.4254729463554434
10
+ ],
11
+ "camera_look_at": [
12
+ 1.238163750081621,
13
+ 0.704074897398625,
14
+ -0.5191283029867955
15
+ ],
16
+ "object": {
17
+ "label": "light switch",
18
+ "id": "light switch_1",
19
+ "centroid": [
20
+ 0.21875233948230743,
21
+ 1.5391556024551392,
22
+ 0.10424316674470901
23
+ ],
24
+ "depth": 1.85,
25
+ "width": 0.09864257276058197,
26
+ "length": 0.11923825740814209,
27
+ "height": 0.20737303793430328
28
+ },
29
+ "scene_id": "0239_txt_b72ba4077d48",
30
+ "layout_path": null,
31
+ "image_path": "question_image_27.jpg"
32
+ }
0239_txt_b72ba4077d48/tasks/001_depth_estimation/question_28.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "depth_estimation",
3
+ "question": "Estimate the depth in meters of the photo (red point). Calculate or judge based on the 3D center points of these objects. Respond with only a number.",
4
+ "answer": "1.74",
5
+ "camera_name": "rand_029",
6
+ "camera_position": [
7
+ 1.4043229034451077,
8
+ -1.1349112123383456,
9
+ -0.7257651450621905
10
+ ],
11
+ "camera_look_at": [
12
+ -1.3634493303236361,
13
+ -0.7523594621605434,
14
+ -1.0426801243023962
15
+ ],
16
+ "object": {
17
+ "label": "photo",
18
+ "id": "photo_4",
19
+ "centroid": [
20
+ -0.5285824537277222,
21
+ -1.7989171743392944,
22
+ -0.1226806640625
23
+ ],
24
+ "depth": 1.74,
25
+ "width": 0.149169921875,
26
+ "length": 0.1455078125,
27
+ "height": 0.226806640625
28
+ },
29
+ "scene_id": "0239_txt_b72ba4077d48",
30
+ "layout_path": null,
31
+ "image_path": "question_image_28.jpg"
32
+ }
0239_txt_b72ba4077d48/tasks/001_depth_estimation/question_29.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "depth_estimation",
3
+ "question": "Determine the depth of the photo (red point) in meters. Calculate or judge based on the 3D center points of these objects. Provide a single numerical answer.",
4
+ "answer": "1.52",
5
+ "camera_name": "rand_050",
6
+ "camera_position": [
7
+ -0.33718128477306386,
8
+ -0.05693827538371782,
9
+ -0.5244140146707483
10
+ ],
11
+ "camera_look_at": [
12
+ 0.6768605750089178,
13
+ -2.57894838546958,
14
+ -0.6625691304171178
15
+ ],
16
+ "object": {
17
+ "label": "photo",
18
+ "id": "photo_4",
19
+ "centroid": [
20
+ -0.5285824537277222,
21
+ -1.7989171743392944,
22
+ -0.1226806640625
23
+ ],
24
+ "depth": 1.52,
25
+ "width": 0.149169921875,
26
+ "length": 0.1455078125,
27
+ "height": 0.226806640625
28
+ },
29
+ "scene_id": "0239_txt_b72ba4077d48",
30
+ "layout_path": null,
31
+ "image_path": "question_image_29.jpg"
32
+ }
0239_txt_b72ba4077d48/tasks/001_depth_estimation/question_3.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "depth_estimation",
3
+ "question": "How deep is the desk (red point) from the camera? Calculate or judge based on the 3D center points of these objects. Give the answer in meters as a single number.",
4
+ "answer": "1.4",
5
+ "camera_name": "rand_031",
6
+ "camera_position": [
7
+ 0.41681740337718537,
8
+ -0.19562531283694817,
9
+ -0.45322720290190155
10
+ ],
11
+ "camera_look_at": [
12
+ 0.7864942389040965,
13
+ -2.293990644819421,
14
+ -0.6857762284513482
15
+ ],
16
+ "object": {
17
+ "label": "desk",
18
+ "id": "desk_0",
19
+ "centroid": [
20
+ 0.6864579319953918,
21
+ -1.5303361415863037,
22
+ -0.92974853515625
23
+ ],
24
+ "depth": 1.4,
25
+ "width": 1.574951171875,
26
+ "length": 1.461334228515625,
27
+ "height": 0.2105712890625
28
+ },
29
+ "scene_id": "0239_txt_b72ba4077d48",
30
+ "layout_path": null,
31
+ "image_path": "question_image_3.jpg"
32
+ }
0239_txt_b72ba4077d48/tasks/001_depth_estimation/question_30.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "depth_estimation",
3
+ "question": "Report the depth of the poster (red point) in meters. Calculate or judge based on the 3D center points of these objects. Provide only the numerical value.",
4
+ "answer": "0.84",
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
+ 8.36516284942627,
14
+ -2.5881905555725098
15
+ ],
16
+ "object": {
17
+ "label": "poster",
18
+ "id": "poster_0",
19
+ "centroid": [
20
+ -0.6467678546905518,
21
+ 0.619057834148407,
22
+ -0.04981689155101776
23
+ ],
24
+ "depth": 0.84,
25
+ "width": 0.7074951231479645,
26
+ "length": 0.783935546875,
27
+ "height": 0.6860107481479645
28
+ },
29
+ "scene_id": "0239_txt_b72ba4077d48",
30
+ "layout_path": null,
31
+ "image_path": "question_image_30.jpg"
32
+ }
0239_txt_b72ba4077d48/tasks/001_depth_estimation/question_31.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "depth_estimation",
3
+ "question": "Measure the depth to the sunglasses (red point) in meters. Calculate or judge based on the 3D center points of these objects. Reply with a single number.",
4
+ "answer": "1.28",
5
+ "camera_name": "rand_048",
6
+ "camera_position": [
7
+ -0.1841579864870168,
8
+ -1.2945613028295921,
9
+ -0.6359284880871503
10
+ ],
11
+ "camera_look_at": [
12
+ -0.6237315060139061,
13
+ 0.6253625016394899,
14
+ -0.7295127034144561
15
+ ],
16
+ "object": {
17
+ "label": "sunglasses",
18
+ "id": "sunglasses_0",
19
+ "centroid": [
20
+ -1.103621244430542,
21
+ -0.1855262666940689,
22
+ -0.626220703125
23
+ ],
24
+ "depth": 1.28,
25
+ "width": 0.19189453125,
26
+ "length": 0.32426752895116806,
27
+ "height": 0.1015625
28
+ },
29
+ "scene_id": "0239_txt_b72ba4077d48",
30
+ "layout_path": null,
31
+ "image_path": "question_image_31.jpg"
32
+ }
0239_txt_b72ba4077d48/tasks/001_depth_estimation/question_32.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "depth_estimation",
3
+ "question": "How far along the depth axis is the photo (red point) from the camera? Calculate or judge based on the 3D center points of these objects. Answer in meters 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": "photo",
18
+ "id": "photo_7",
19
+ "centroid": [
20
+ 0.7724186182022095,
21
+ -2.364161252975464,
22
+ -0.6786938607692719
23
+ ],
24
+ "depth": 2.53,
25
+ "width": 0.1777685284614563,
26
+ "length": 0.2727844715118408,
27
+ "height": 0.2685888409614563
28
+ },
29
+ "scene_id": "0239_txt_b72ba4077d48",
30
+ "layout_path": null,
31
+ "image_path": "question_image_32.jpg"
32
+ }
0239_txt_b72ba4077d48/tasks/001_depth_estimation/question_33.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "depth_estimation",
3
+ "question": "Measure the depth to the box (red point) in meters. Calculate or judge based on the 3D center points of these objects. Reply with a single number.",
4
+ "answer": "2.04",
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": "box",
18
+ "id": "box_0",
19
+ "centroid": [
20
+ 1.0544344186782837,
21
+ -2.069040298461914,
22
+ -0.6025123596191406
23
+ ],
24
+ "depth": 2.04,
25
+ "width": 1.111083984375,
26
+ "length": 0.9066311120986938,
27
+ "height": 0.44086456298828125
28
+ },
29
+ "scene_id": "0239_txt_b72ba4077d48",
30
+ "layout_path": null,
31
+ "image_path": "question_image_33.jpg"
32
+ }
0239_txt_b72ba4077d48/tasks/001_depth_estimation/question_34.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "depth_estimation",
3
+ "question": "What depth value in meters corresponds to the bookshelf (red point)? Calculate or judge based on the 3D center points of these objects. Answer with a number only.",
4
+ "answer": "1.06",
5
+ "camera_name": "rand_061",
6
+ "camera_position": [
7
+ 0.6971467375252866,
8
+ -0.31097115259028796,
9
+ -0.45995182506944765
10
+ ],
11
+ "camera_look_at": [
12
+ 0.8265625912916773,
13
+ 0.5539412530140655,
14
+ -0.5877076483736388
15
+ ],
16
+ "object": {
17
+ "label": "bookshelf",
18
+ "id": "bookshelf_0",
19
+ "centroid": [
20
+ 1.313517451286316,
21
+ 0.6787940263748169,
22
+ -0.4371338188648224
23
+ ],
24
+ "depth": 1.06,
25
+ "width": 1.473808765411377,
26
+ "length": 1.17041015625,
27
+ "height": 1.4363965392112732
28
+ },
29
+ "scene_id": "0239_txt_b72ba4077d48",
30
+ "layout_path": null,
31
+ "image_path": "question_image_34.jpg"
32
+ }
0239_txt_b72ba4077d48/tasks/001_depth_estimation/question_35.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "depth_estimation",
3
+ "question": "Report the depth of the shelf (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": "rand_057",
6
+ "camera_position": [
7
+ 0.5881947238318923,
8
+ -0.6980416884438484,
9
+ -0.6758001612888056
10
+ ],
11
+ "camera_look_at": [
12
+ 1.283957155707639,
13
+ 0.7848652266537568,
14
+ -0.7720081160735341
15
+ ],
16
+ "object": {
17
+ "label": "shelf",
18
+ "id": "shelf_0",
19
+ "centroid": [
20
+ 0.8857706189155579,
21
+ 0.734611988067627,
22
+ -0.4510498046875
23
+ ],
24
+ "depth": 1.41,
25
+ "width": 1.0848437547683716,
26
+ "length": 1.0363867282867432,
27
+ "height": 1.504638671875
28
+ },
29
+ "scene_id": "0239_txt_b72ba4077d48",
30
+ "layout_path": null,
31
+ "image_path": "question_image_35.jpg"
32
+ }
0239_txt_b72ba4077d48/tasks/001_depth_estimation/question_36.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "depth_estimation",
3
+ "question": "Report the depth of the bookshelf (red point) in meters. Calculate or judge based on the 3D center points of these objects. Provide only the numerical value.",
4
+ "answer": "1.87",
5
+ "camera_name": "rand_059",
6
+ "camera_position": [
7
+ 0.2631616627525142,
8
+ -0.580682953877021,
9
+ -0.5740702309338481
10
+ ],
11
+ "camera_look_at": [
12
+ 0.19889487097442965,
13
+ 1.5725767639837775,
14
+ -0.6573009021870442
15
+ ],
16
+ "object": {
17
+ "label": "bookshelf",
18
+ "id": "bookshelf_1",
19
+ "centroid": [
20
+ 0.4178919792175293,
21
+ 1.2878831624984741,
22
+ -0.8674560785293579
23
+ ],
24
+ "depth": 1.87,
25
+ "width": 0.2975097894668579,
26
+ "length": 0.3392578363418579,
27
+ "height": 0.555908203125
28
+ },
29
+ "scene_id": "0239_txt_b72ba4077d48",
30
+ "layout_path": null,
31
+ "image_path": "question_image_36.jpg"
32
+ }
0239_txt_b72ba4077d48/tasks/001_depth_estimation/question_37.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "depth_estimation",
3
+ "question": "Report the depth of the photo (red point) in meters. Calculate or judge based on the 3D center points of these objects. Provide only the numerical value.",
4
+ "answer": "1.83",
5
+ "camera_name": "rand_008",
6
+ "camera_position": [
7
+ 0.05614492198450392,
8
+ -0.4997353577736152,
9
+ -0.6581116323088816
10
+ ],
11
+ "camera_look_at": [
12
+ 0.22269631195972175,
13
+ -1.2899487941118342,
14
+ -0.9896460924940861
15
+ ],
16
+ "object": {
17
+ "label": "photo",
18
+ "id": "photo_7",
19
+ "centroid": [
20
+ 0.7724186182022095,
21
+ -2.364161252975464,
22
+ -0.6786938607692719
23
+ ],
24
+ "depth": 1.83,
25
+ "width": 0.1777685284614563,
26
+ "length": 0.2727844715118408,
27
+ "height": 0.2685888409614563
28
+ },
29
+ "scene_id": "0239_txt_b72ba4077d48",
30
+ "layout_path": null,
31
+ "image_path": "question_image_37.jpg"
32
+ }
0239_txt_b72ba4077d48/tasks/001_depth_estimation/question_38.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "depth_estimation",
3
+ "question": "How far along the depth axis is the desk (red point) from the camera? Calculate or judge based on the 3D center points of these objects. Answer in meters only.",
4
+ "answer": "1.48",
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": "desk",
18
+ "id": "desk_1",
19
+ "centroid": [
20
+ -1.1225066184997559,
21
+ -0.7050848007202148,
22
+ -1.3616747856140137
23
+ ],
24
+ "depth": 1.48,
25
+ "width": 0.5147509574890137,
26
+ "length": 0.7464404404163361,
27
+ "height": 0.5915136337280273
28
+ },
29
+ "scene_id": "0239_txt_b72ba4077d48",
30
+ "layout_path": null,
31
+ "image_path": "question_image_38.jpg"
32
+ }
0239_txt_b72ba4077d48/tasks/001_depth_estimation/question_39.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "depth_estimation",
3
+ "question": "What depth value in meters corresponds to the cable (red point)? Calculate or judge based on the 3D center points of these objects. Answer with a number only.",
4
+ "answer": "2.54",
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": "cable",
18
+ "id": "cable_0",
19
+ "centroid": [
20
+ 1.309485673904419,
21
+ -1.9137613773345947,
22
+ -1.9972851276397705
23
+ ],
24
+ "depth": 2.54,
25
+ "width": 0.39283204078674316,
26
+ "length": 0.3947265148162842,
27
+ "height": 0.304140567779541
28
+ },
29
+ "scene_id": "0239_txt_b72ba4077d48",
30
+ "layout_path": null,
31
+ "image_path": "question_image_39.jpg"
32
+ }
0239_txt_b72ba4077d48/tasks/001_depth_estimation/question_4.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "depth_estimation",
3
+ "question": "Measure the depth to the chair (red point) in meters. Calculate or judge based on the 3D center points of these objects. Reply with a single number.",
4
+ "answer": "1.47",
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": "chair",
18
+ "id": "chair_0",
19
+ "centroid": [
20
+ 0.19375702738761902,
21
+ -1.3398154973983765,
22
+ -0.9942188262939453
23
+ ],
24
+ "depth": 1.47,
25
+ "width": 0.8229103088378906,
26
+ "length": 0.5543556213378906,
27
+ "height": 0.6681251525878906
28
+ },
29
+ "scene_id": "0239_txt_b72ba4077d48",
30
+ "layout_path": null,
31
+ "image_path": "question_image_4.jpg"
32
+ }
0239_txt_b72ba4077d48/tasks/001_depth_estimation/question_40.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "depth_estimation",
3
+ "question": "How deep is the cable (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": "2.75",
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": "cable",
18
+ "id": "cable_0",
19
+ "centroid": [
20
+ 1.309485673904419,
21
+ -1.9137613773345947,
22
+ -1.9972851276397705
23
+ ],
24
+ "depth": 2.75,
25
+ "width": 0.39283204078674316,
26
+ "length": 0.3947265148162842,
27
+ "height": 0.304140567779541
28
+ },
29
+ "scene_id": "0239_txt_b72ba4077d48",
30
+ "layout_path": null,
31
+ "image_path": "question_image_40.jpg"
32
+ }
0239_txt_b72ba4077d48/tasks/001_depth_estimation/question_41.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "depth_estimation",
3
+ "question": "What is the depth of the light switch (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": "1.46",
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": "light switch",
18
+ "id": "light switch_1",
19
+ "centroid": [
20
+ 0.21875233948230743,
21
+ 1.5391556024551392,
22
+ 0.10424316674470901
23
+ ],
24
+ "depth": 1.46,
25
+ "width": 0.09864257276058197,
26
+ "length": 0.11923825740814209,
27
+ "height": 0.20737303793430328
28
+ },
29
+ "scene_id": "0239_txt_b72ba4077d48",
30
+ "layout_path": null,
31
+ "image_path": "question_image_41.jpg"
32
+ }
0239_txt_b72ba4077d48/tasks/001_depth_estimation/question_42.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "depth_estimation",
3
+ "question": "Measure the depth to the photo (red point) in meters. Calculate or judge based on the 3D center points of these objects. Reply with a single number.",
4
+ "answer": "0.74",
5
+ "camera_name": "rand_049",
6
+ "camera_position": [
7
+ -0.7990309878721014,
8
+ -0.653632030293323,
9
+ -0.4226094158205438
10
+ ],
11
+ "camera_look_at": [
12
+ -0.7472331768917593,
13
+ -1.5766981066317554,
14
+ -0.512541783379806
15
+ ],
16
+ "object": {
17
+ "label": "photo",
18
+ "id": "photo_3",
19
+ "centroid": [
20
+ -0.9069451689720154,
21
+ -1.4368290901184082,
22
+ -0.1190185546875
23
+ ],
24
+ "depth": 0.74,
25
+ "width": 0.42116212844848633,
26
+ "length": 0.41357421875,
27
+ "height": 0.215087890625
28
+ },
29
+ "scene_id": "0239_txt_b72ba4077d48",
30
+ "layout_path": null,
31
+ "image_path": "question_image_42.jpg"
32
+ }
0239_txt_b72ba4077d48/tasks/001_depth_estimation/question_43.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "depth_estimation",
3
+ "question": "Measure the depth to the photo (red point) in meters. Calculate or judge based on the 3D center points of these objects. Reply with a single number.",
4
+ "answer": "2.15",
5
+ "camera_name": "rand_051",
6
+ "camera_position": [
7
+ 0.5296281730316958,
8
+ 0.6715865458116252,
9
+ -0.4664356021527256
10
+ ],
11
+ "camera_look_at": [
12
+ -1.0937283564786897,
13
+ -0.23175365592600472,
14
+ -0.6209999040045974
15
+ ],
16
+ "object": {
17
+ "label": "photo",
18
+ "id": "photo_0",
19
+ "centroid": [
20
+ -0.759278416633606,
21
+ -1.5729814767837524,
22
+ 0.2860107421875
23
+ ],
24
+ "depth": 2.15,
25
+ "width": 0.686767578125,
26
+ "length": 0.6591796875,
27
+ "height": 0.230224609375
28
+ },
29
+ "scene_id": "0239_txt_b72ba4077d48",
30
+ "layout_path": null,
31
+ "image_path": "question_image_43.jpg"
32
+ }
0239_txt_b72ba4077d48/tasks/001_depth_estimation/question_44.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "depth_estimation",
3
+ "question": "Estimate the depth in meters of the pegboard (red point). Calculate or judge based on the 3D center points of these objects. Respond with only a number.",
4
+ "answer": "1.5",
5
+ "camera_name": "rand_013",
6
+ "camera_position": [
7
+ -0.016549890608337448,
8
+ 0.1440916444847325,
9
+ -0.49927500927235524
10
+ ],
11
+ "camera_look_at": [
12
+ 0.02219455422244028,
13
+ -1.9032446968616727,
14
+ -0.9840257278513099
15
+ ],
16
+ "object": {
17
+ "label": "pegboard",
18
+ "id": "pegboard_0",
19
+ "centroid": [
20
+ -0.7868868708610535,
21
+ -1.5548685789108276,
22
+ 0.0830078125
23
+ ],
24
+ "depth": 1.5,
25
+ "width": 0.762939453125,
26
+ "length": 0.731689453125,
27
+ "height": 0.85791015625
28
+ },
29
+ "scene_id": "0239_txt_b72ba4077d48",
30
+ "layout_path": null,
31
+ "image_path": "question_image_44.jpg"
32
+ }
0239_txt_b72ba4077d48/tasks/001_depth_estimation/question_45.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "depth_estimation",
3
+ "question": "How deep is the pegboard (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": "2.18",
5
+ "camera_name": "rand_051",
6
+ "camera_position": [
7
+ 0.5296281730316958,
8
+ 0.6715865458116252,
9
+ -0.4664356021527256
10
+ ],
11
+ "camera_look_at": [
12
+ -1.0937283564786897,
13
+ -0.23175365592600472,
14
+ -0.6209999040045974
15
+ ],
16
+ "object": {
17
+ "label": "pegboard",
18
+ "id": "pegboard_0",
19
+ "centroid": [
20
+ -0.7868868708610535,
21
+ -1.5548685789108276,
22
+ 0.0830078125
23
+ ],
24
+ "depth": 2.18,
25
+ "width": 0.762939453125,
26
+ "length": 0.731689453125,
27
+ "height": 0.85791015625
28
+ },
29
+ "scene_id": "0239_txt_b72ba4077d48",
30
+ "layout_path": null,
31
+ "image_path": "question_image_45.jpg"
32
+ }
0239_txt_b72ba4077d48/tasks/001_depth_estimation/question_46.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "depth_estimation",
3
+ "question": "Determine the depth of the photo (red point) in meters. Calculate or judge based on the 3D center points of these objects. Provide a single numerical answer.",
4
+ "answer": "1.32",
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": "photo",
18
+ "id": "photo_0",
19
+ "centroid": [
20
+ -0.759278416633606,
21
+ -1.5729814767837524,
22
+ 0.2860107421875
23
+ ],
24
+ "depth": 1.32,
25
+ "width": 0.686767578125,
26
+ "length": 0.6591796875,
27
+ "height": 0.230224609375
28
+ },
29
+ "scene_id": "0239_txt_b72ba4077d48",
30
+ "layout_path": null,
31
+ "image_path": "question_image_46.jpg"
32
+ }
0239_txt_b72ba4077d48/tasks/001_depth_estimation/question_5.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "depth_estimation",
3
+ "question": "What depth value in meters corresponds to the photo (red point)? Calculate or judge based on the 3D center points of these objects. Answer with a number only.",
4
+ "answer": "2.03",
5
+ "camera_name": "rand_047",
6
+ "camera_position": [
7
+ 0.5498088304162881,
8
+ -1.5776361402869925,
9
+ -0.45676707025241603
10
+ ],
11
+ "camera_look_at": [
12
+ 0.9340973377120081,
13
+ 0.9236784218457053,
14
+ -0.5518582920914659
15
+ ],
16
+ "object": {
17
+ "label": "photo",
18
+ "id": "photo_1",
19
+ "centroid": [
20
+ -0.6066189408302307,
21
+ 0.6712506413459778,
22
+ 0.0865478515625
23
+ ],
24
+ "depth": 2.03,
25
+ "width": 0.47509765625,
26
+ "length": 0.533203125,
27
+ "height": 0.397705078125
28
+ },
29
+ "scene_id": "0239_txt_b72ba4077d48",
30
+ "layout_path": null,
31
+ "image_path": "question_image_5.jpg"
32
+ }
0239_txt_b72ba4077d48/tasks/001_depth_estimation/question_6.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "depth_estimation",
3
+ "question": "Determine the depth of the photo (red point) in meters. Calculate or judge based on the 3D center points of these objects. Provide a single numerical answer.",
4
+ "answer": "1.98",
5
+ "camera_name": "rand_022",
6
+ "camera_position": [
7
+ -0.530939115608361,
8
+ -0.4113163434312497,
9
+ -0.6948838673475706
10
+ ],
11
+ "camera_look_at": [
12
+ 0.8234193397922187,
13
+ 0.7643172969456813,
14
+ -0.7936536781734655
15
+ ],
16
+ "object": {
17
+ "label": "photo",
18
+ "id": "photo_2",
19
+ "centroid": [
20
+ 0.9540694952011108,
21
+ 0.9343600273132324,
22
+ -0.3493652194738388
23
+ ],
24
+ "depth": 1.98,
25
+ "width": 0.5647362470626831,
26
+ "length": 0.45330071449279785,
27
+ "height": 1.5678026974201202
28
+ },
29
+ "scene_id": "0239_txt_b72ba4077d48",
30
+ "layout_path": null,
31
+ "image_path": "question_image_6.jpg"
32
+ }
0239_txt_b72ba4077d48/tasks/001_depth_estimation/question_7.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "depth_estimation",
3
+ "question": "Calculate the depth of the poster (red point) from the camera viewpoint. Calculate or judge based on the 3D center points of these objects. State the answer in meters as one number.",
4
+ "answer": "1.97",
5
+ "camera_name": "rand_047",
6
+ "camera_position": [
7
+ 0.5498088304162881,
8
+ -1.5776361402869925,
9
+ -0.45676707025241603
10
+ ],
11
+ "camera_look_at": [
12
+ 0.9340973377120081,
13
+ 0.9236784218457053,
14
+ -0.5518582920914659
15
+ ],
16
+ "object": {
17
+ "label": "poster",
18
+ "id": "poster_0",
19
+ "centroid": [
20
+ -0.6467678546905518,
21
+ 0.619057834148407,
22
+ -0.04981689155101776
23
+ ],
24
+ "depth": 1.97,
25
+ "width": 0.7074951231479645,
26
+ "length": 0.783935546875,
27
+ "height": 0.6860107481479645
28
+ },
29
+ "scene_id": "0239_txt_b72ba4077d48",
30
+ "layout_path": null,
31
+ "image_path": "question_image_7.jpg"
32
+ }
0239_txt_b72ba4077d48/tasks/001_depth_estimation/question_8.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "depth_estimation",
3
+ "question": "What is the depth of the photo (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": "1.69",
5
+ "camera_name": "rand_007",
6
+ "camera_position": [
7
+ 0.7474430276499611,
8
+ -0.9874959491868368,
9
+ -0.7007589900694631
10
+ ],
11
+ "camera_look_at": [
12
+ 1.2333614325811038,
13
+ 0.7511991107162219,
14
+ -0.8016419535960484
15
+ ],
16
+ "object": {
17
+ "label": "photo",
18
+ "id": "photo_6",
19
+ "centroid": [
20
+ 1.3596031665802002,
21
+ 0.6169655919075012,
22
+ -0.39179688692092896
23
+ ],
24
+ "depth": 1.69,
25
+ "width": 0.270263671875,
26
+ "length": 0.2228027582168579,
27
+ "height": 0.1683593988418579
28
+ },
29
+ "scene_id": "0239_txt_b72ba4077d48",
30
+ "layout_path": null,
31
+ "image_path": "question_image_8.jpg"
32
+ }
0239_txt_b72ba4077d48/tasks/001_depth_estimation/question_9.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "depth_estimation",
3
+ "question": "Report the depth of the desk (red point) in meters. Calculate or judge based on the 3D center points of these objects. Provide only the numerical value.",
4
+ "answer": "1.57",
5
+ "camera_name": "rand_033",
6
+ "camera_position": [
7
+ 0.008958261562872244,
8
+ -0.14596130374573224,
9
+ -0.4262370698192457
10
+ ],
11
+ "camera_look_at": [
12
+ 0.7162068703059106,
13
+ -2.3902215938719182,
14
+ -0.7089519898320822
15
+ ],
16
+ "object": {
17
+ "label": "desk",
18
+ "id": "desk_0",
19
+ "centroid": [
20
+ 0.6864579319953918,
21
+ -1.5303361415863037,
22
+ -0.92974853515625
23
+ ],
24
+ "depth": 1.57,
25
+ "width": 1.574951171875,
26
+ "length": 1.461334228515625,
27
+ "height": 0.2105712890625
28
+ },
29
+ "scene_id": "0239_txt_b72ba4077d48",
30
+ "layout_path": null,
31
+ "image_path": "question_image_9.jpg"
32
+ }
0239_txt_b72ba4077d48/tasks/003_object_distance/question_1.json ADDED
@@ -0,0 +1,47 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "object_distance",
3
+ "question": "How many meters separate photo (blue point) and photo (red point)? Calculate or judge based on the 3D center points of these objects. Reply with a number only.",
4
+ "answer": "0.52",
5
+ "camera_name": "view_003",
6
+ "camera_position": [
7
+ -0.0,
8
+ -0.0,
9
+ 0.0
10
+ ],
11
+ "camera_look_at": [
12
+ 9.659257888793945,
13
+ -5.914589666286812e-16,
14
+ -2.5881905555725098
15
+ ],
16
+ "blue": {
17
+ "circle_color": "blue",
18
+ "label": "photo",
19
+ "id": "photo_2",
20
+ "centroid": [
21
+ 0.9540694952011108,
22
+ 0.9343600273132324,
23
+ -0.3493652194738388
24
+ ],
25
+ "distance_to_camera": 1.380338117597312,
26
+ "width": 0.5647362470626831,
27
+ "length": 0.45330071449279785,
28
+ "height": 1.5678026974201202
29
+ },
30
+ "red": {
31
+ "circle_color": "red",
32
+ "label": "photo",
33
+ "id": "photo_6",
34
+ "centroid": [
35
+ 1.3596031665802002,
36
+ 0.6169655919075012,
37
+ -0.39179688692092896
38
+ ],
39
+ "distance_to_camera": 1.5435906558325663,
40
+ "width": 0.270263671875,
41
+ "length": 0.2228027582168579,
42
+ "height": 0.1683593988418579
43
+ },
44
+ "scene_id": "0239_txt_b72ba4077d48",
45
+ "layout_path": null,
46
+ "image_path": "question_image_1.jpg"
47
+ }
0239_txt_b72ba4077d48/tasks/003_object_distance/question_12.json ADDED
@@ -0,0 +1,47 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "object_distance",
3
+ "question": "How far apart are photo (blue point) and cable (red point) in meters? Calculate or judge based on the 3D center points of these objects. Answer with a single number.",
4
+ "answer": "2.63",
5
+ "camera_name": "rand_050",
6
+ "camera_position": [
7
+ -0.33718128477306386,
8
+ -0.05693827538371782,
9
+ -0.5244140146707483
10
+ ],
11
+ "camera_look_at": [
12
+ 0.6768605750089178,
13
+ -2.57894838546958,
14
+ -0.6625691304171178
15
+ ],
16
+ "blue": {
17
+ "circle_color": "blue",
18
+ "label": "photo",
19
+ "id": "photo_4",
20
+ "centroid": [
21
+ -0.5285824537277222,
22
+ -1.7989171743392944,
23
+ -0.1226806640625
24
+ ],
25
+ "distance_to_camera": 1.797919513458437,
26
+ "width": 0.149169921875,
27
+ "length": 0.1455078125,
28
+ "height": 0.226806640625
29
+ },
30
+ "red": {
31
+ "circle_color": "red",
32
+ "label": "cable",
33
+ "id": "cable_0",
34
+ "centroid": [
35
+ 1.309485673904419,
36
+ -1.9137613773345947,
37
+ -1.9972851276397705
38
+ ],
39
+ "distance_to_camera": 2.8859406473725744,
40
+ "width": 0.39283204078674316,
41
+ "length": 0.3947265148162842,
42
+ "height": 0.304140567779541
43
+ },
44
+ "scene_id": "0239_txt_b72ba4077d48",
45
+ "layout_path": null,
46
+ "image_path": "question_image_12.jpg"
47
+ }
0239_txt_b72ba4077d48/tasks/003_object_distance/question_13.json ADDED
@@ -0,0 +1,47 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "object_distance",
3
+ "question": "Report the Euclidean distance in meters from sunglasses (blue point) to photo (red point). Calculate or judge based on the 3D center points of these objects. Provide only the numerical value.",
4
+ "answer": "1.22",
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
+ "blue": {
17
+ "circle_color": "blue",
18
+ "label": "sunglasses",
19
+ "id": "sunglasses_0",
20
+ "centroid": [
21
+ -1.103621244430542,
22
+ -0.1855262666940689,
23
+ -0.626220703125
24
+ ],
25
+ "distance_to_camera": 1.2824009575067488,
26
+ "width": 0.19189453125,
27
+ "length": 0.32426752895116806,
28
+ "height": 0.1015625
29
+ },
30
+ "red": {
31
+ "circle_color": "red",
32
+ "label": "photo",
33
+ "id": "photo_1",
34
+ "centroid": [
35
+ -0.6066189408302307,
36
+ 0.6712506413459778,
37
+ 0.0865478515625
38
+ ],
39
+ "distance_to_camera": 0.908875400421566,
40
+ "width": 0.47509765625,
41
+ "length": 0.533203125,
42
+ "height": 0.397705078125
43
+ },
44
+ "scene_id": "0239_txt_b72ba4077d48",
45
+ "layout_path": null,
46
+ "image_path": "question_image_13.jpg"
47
+ }