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  1. 0282_txt_5f24cf097766/tasks/000_closest_object/question_0.json +51 -0
  2. 0282_txt_5f24cf097766/tasks/000_closest_object/question_1.json +51 -0
  3. 0282_txt_5f24cf097766/tasks/000_closest_object/question_10.json +51 -0
  4. 0282_txt_5f24cf097766/tasks/000_closest_object/question_11.json +51 -0
  5. 0282_txt_5f24cf097766/tasks/000_closest_object/question_12.json +51 -0
  6. 0282_txt_5f24cf097766/tasks/000_closest_object/question_13.json +51 -0
  7. 0282_txt_5f24cf097766/tasks/000_closest_object/question_14.json +51 -0
  8. 0282_txt_5f24cf097766/tasks/000_closest_object/question_15.json +51 -0
  9. 0282_txt_5f24cf097766/tasks/000_closest_object/question_16.json +51 -0
  10. 0282_txt_5f24cf097766/tasks/000_closest_object/question_17.json +51 -0
  11. 0282_txt_5f24cf097766/tasks/000_closest_object/question_18.json +51 -0
  12. 0282_txt_5f24cf097766/tasks/000_closest_object/question_19.json +51 -0
  13. 0282_txt_5f24cf097766/tasks/000_closest_object/question_2.json +51 -0
  14. 0282_txt_5f24cf097766/tasks/000_closest_object/question_20.json +51 -0
  15. 0282_txt_5f24cf097766/tasks/000_closest_object/question_21.json +51 -0
  16. 0282_txt_5f24cf097766/tasks/000_closest_object/question_22.json +51 -0
  17. 0282_txt_5f24cf097766/tasks/000_closest_object/question_23.json +51 -0
  18. 0282_txt_5f24cf097766/tasks/000_closest_object/question_24.json +51 -0
  19. 0282_txt_5f24cf097766/tasks/000_closest_object/question_25.json +51 -0
  20. 0282_txt_5f24cf097766/tasks/000_closest_object/question_3.json +51 -0
  21. 0282_txt_5f24cf097766/tasks/000_closest_object/question_4.json +51 -0
  22. 0282_txt_5f24cf097766/tasks/000_closest_object/question_5.json +51 -0
  23. 0282_txt_5f24cf097766/tasks/000_closest_object/question_6.json +51 -0
  24. 0282_txt_5f24cf097766/tasks/000_closest_object/question_7.json +51 -0
  25. 0282_txt_5f24cf097766/tasks/000_closest_object/question_8.json +51 -0
  26. 0282_txt_5f24cf097766/tasks/000_closest_object/question_9.json +51 -0
  27. 0282_txt_5f24cf097766/tasks/001_depth_estimation/question_0.json +32 -0
  28. 0282_txt_5f24cf097766/tasks/001_depth_estimation/question_1.json +32 -0
  29. 0282_txt_5f24cf097766/tasks/001_depth_estimation/question_10.json +32 -0
  30. 0282_txt_5f24cf097766/tasks/001_depth_estimation/question_11.json +32 -0
  31. 0282_txt_5f24cf097766/tasks/001_depth_estimation/question_12.json +32 -0
  32. 0282_txt_5f24cf097766/tasks/001_depth_estimation/question_13.json +32 -0
  33. 0282_txt_5f24cf097766/tasks/001_depth_estimation/question_14.json +32 -0
  34. 0282_txt_5f24cf097766/tasks/001_depth_estimation/question_15.json +32 -0
  35. 0282_txt_5f24cf097766/tasks/001_depth_estimation/question_16.json +32 -0
  36. 0282_txt_5f24cf097766/tasks/001_depth_estimation/question_17.json +32 -0
  37. 0282_txt_5f24cf097766/tasks/001_depth_estimation/question_18.json +32 -0
  38. 0282_txt_5f24cf097766/tasks/001_depth_estimation/question_19.json +32 -0
  39. 0282_txt_5f24cf097766/tasks/001_depth_estimation/question_2.json +32 -0
  40. 0282_txt_5f24cf097766/tasks/001_depth_estimation/question_20.json +32 -0
  41. 0282_txt_5f24cf097766/tasks/001_depth_estimation/question_21.json +32 -0
  42. 0282_txt_5f24cf097766/tasks/001_depth_estimation/question_22.json +32 -0
  43. 0282_txt_5f24cf097766/tasks/001_depth_estimation/question_23.json +32 -0
  44. 0282_txt_5f24cf097766/tasks/001_depth_estimation/question_24.json +32 -0
  45. 0282_txt_5f24cf097766/tasks/001_depth_estimation/question_25.json +32 -0
  46. 0282_txt_5f24cf097766/tasks/001_depth_estimation/question_26.json +32 -0
  47. 0282_txt_5f24cf097766/tasks/001_depth_estimation/question_27.json +32 -0
  48. 0282_txt_5f24cf097766/tasks/001_depth_estimation/question_28.json +32 -0
  49. 0282_txt_5f24cf097766/tasks/001_depth_estimation/question_29.json +32 -0
  50. 0282_txt_5f24cf097766/tasks/001_depth_estimation/question_3.json +32 -0
0282_txt_5f24cf097766/tasks/000_closest_object/question_0.json ADDED
@@ -0,0 +1,51 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
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+ "type": "closest_object",
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+ "question": "Which of the following is nearer to the camera \u2014 chair (blue point) or bookshelf (red point)? Calculate or judge based on the 3D center points of these objects. Select the correct choice.",
4
+ "choices": [
5
+ "A. chair (blue point)",
6
+ "B. bookshelf (red point)"
7
+ ],
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+ "answer": "A",
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+ "camera_name": "rand_018",
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+ "camera_position": [
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+ "blue": {
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+ "label": "chair",
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+ "id": "chair_0",
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+ "centroid": [
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+ "length": 0.4233589172363281,
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+ "height": 0.7531833648681641
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+ "red": {
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+ "circle_color": "red",
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+ "label": "bookshelf",
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+ "id": "bookshelf_0",
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+ "distance_to_camera": 2.094523077368366,
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+ "width": 0.5412988662719727,
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+ "height": 1.5699658393859863
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+ },
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+ "scene_id": "0282_txt_5f24cf097766",
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+ "layout_path": null,
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+ "image_path": "question_image_0.jpg"
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+ }
0282_txt_5f24cf097766/tasks/000_closest_object/question_1.json ADDED
@@ -0,0 +1,51 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "closest_object",
3
+ "question": "Which of the following is nearer to the camera \u2014 bookshelf (blue point) or door (red point)? Calculate or judge based on the 3D center points of these objects. Select the correct choice.",
4
+ "choices": [
5
+ "A. bookshelf (blue point)",
6
+ "B. door (red point)"
7
+ ],
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+ "answer": "A",
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+ "camera_name": "rand_026",
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+ "camera_position": [
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+ "blue": {
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+ "label": "bookshelf",
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+ "id": "bookshelf_0",
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+ "centroid": [
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+ "width": 0.5412988662719727,
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+ "length": 0.722900390625,
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+ "height": 1.5699658393859863
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+ },
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+ "red": {
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+ "circle_color": "red",
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+ "label": "door",
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+ "id": "door_1",
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+ "centroid": [
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+ -2.718203067779541,
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+ -0.7073046565055847,
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+ -1.544970691204071
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+ ],
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+ "distance_to_camera": 2.987663417116827,
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+ "width": 0.2569873332977295,
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+ "length": 0.14591312408447266,
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+ "height": 1.030175805091858
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+ },
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+ "scene_id": "0282_txt_5f24cf097766",
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+ "layout_path": null,
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+ "image_path": "question_image_1.jpg"
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+ }
0282_txt_5f24cf097766/tasks/000_closest_object/question_10.json ADDED
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1
+ {
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+ "type": "closest_object",
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+ "question": "Determine which object is closer to the camera: door (blue point) or artwork (red point). Calculate or judge based on the 3D center points of these objects. Choose from the given options.",
4
+ "choices": [
5
+ "A. door (blue point)",
6
+ "B. artwork (red point)"
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+ ],
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+ "answer": "B",
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+ "camera_name": "view_009",
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+ "camera_position": [
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+ 0.0
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+ ],
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+ "blue": {
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+ "label": "door",
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+ "id": "door_1",
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+ "centroid": [
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+ -0.7073046565055847,
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+ -1.544970691204071
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+ ],
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+ "distance_to_camera": 3.2055954566164733,
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+ "width": 0.2569873332977295,
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+ "length": 0.14591312408447266,
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+ "height": 1.030175805091858
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+ },
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+ "red": {
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+ "circle_color": "red",
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+ "label": "artwork",
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+ "id": "artwork_6",
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+ "centroid": [
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+ "distance_to_camera": 1.046545644125478,
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+ "width": 0.34912109375,
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+ "length": 0.279052734375,
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+ "height": 0.371337890625
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+ "scene_id": "0282_txt_5f24cf097766",
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+ "layout_path": null,
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+ "image_path": "question_image_10.jpg"
51
+ }
0282_txt_5f24cf097766/tasks/000_closest_object/question_11.json ADDED
@@ -0,0 +1,51 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "closest_object",
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+ "question": "Out of bookshelf (blue point) and artwork (red point), which object is the nearest to the camera? Calculate or judge based on the 3D center points of these objects. Choose the appropriate answer.",
4
+ "choices": [
5
+ "A. bookshelf (blue point)",
6
+ "B. artwork (red point)"
7
+ ],
8
+ "answer": "B",
9
+ "camera_name": "rand_046",
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+ "camera_position": [
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+ -0.025413529175440354,
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+ -2.333402540099153,
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+ ],
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+ "blue": {
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+ "circle_color": "blue",
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+ "label": "bookshelf",
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+ "id": "bookshelf_1",
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+ "centroid": [
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+ 1.0016216039657593,
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+ 0.9185864925384521,
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+ -0.41007089614868164
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+ ],
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+ "distance_to_camera": 3.410327910381767,
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+ "width": 1.248291015625,
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+ "length": 1.283203125,
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+ "height": 1.5257081985473633
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+ },
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+ "red": {
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+ "circle_color": "red",
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+ "label": "artwork",
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+ "id": "artwork_6",
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+ "centroid": [
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+ -0.9852209687232971,
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+ 0.33588796854019165,
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+ 0.1085205078125
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+ ],
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+ "distance_to_camera": 2.8854616257657675,
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+ "width": 0.34912109375,
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+ "length": 0.279052734375,
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+ "height": 0.371337890625
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+ },
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+ "scene_id": "0282_txt_5f24cf097766",
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+ "layout_path": null,
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+ "image_path": "question_image_11.jpg"
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+ }
0282_txt_5f24cf097766/tasks/000_closest_object/question_12.json ADDED
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1
+ {
2
+ "type": "closest_object",
3
+ "question": "Look at artwork (blue point) and bookshelf (red point). Which one appears at a shorter depth from the camera? Calculate or judge based on the 3D center points of these objects. Pick the correct answer.",
4
+ "choices": [
5
+ "A. artwork (blue point)",
6
+ "B. bookshelf (red point)"
7
+ ],
8
+ "answer": "A",
9
+ "camera_name": "rand_046",
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+ "camera_position": [
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+ -0.025413529175440354,
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+ ],
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+ "blue": {
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+ "circle_color": "blue",
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+ "label": "artwork",
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+ "id": "artwork_6",
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+ "centroid": [
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+ -0.9852209687232971,
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+ 0.33588796854019165,
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+ 0.1085205078125
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+ ],
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+ "distance_to_camera": 2.8854616257657675,
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+ "width": 0.34912109375,
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+ "length": 0.279052734375,
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+ "height": 0.371337890625
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+ },
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+ "red": {
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+ "circle_color": "red",
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+ "label": "bookshelf",
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+ "id": "bookshelf_1",
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+ "centroid": [
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+ 1.0016216039657593,
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+ 0.9185864925384521,
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+ -0.41007089614868164
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+ ],
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+ "distance_to_camera": 3.410327910381767,
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+ "width": 1.248291015625,
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+ "length": 1.283203125,
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+ "height": 1.5257081985473633
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+ },
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+ "scene_id": "0282_txt_5f24cf097766",
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+ "layout_path": null,
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+ "image_path": "question_image_12.jpg"
51
+ }
0282_txt_5f24cf097766/tasks/000_closest_object/question_13.json ADDED
@@ -0,0 +1,51 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "closest_object",
3
+ "question": "Identify which object has a smaller distance to the camera: box (blue point) or shelf (red point). Calculate or judge based on the 3D center points of these objects. Choose the right response.",
4
+ "choices": [
5
+ "A. box (blue point)",
6
+ "B. shelf (red point)"
7
+ ],
8
+ "answer": "A",
9
+ "camera_name": "rand_047",
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+ "camera_position": [
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+ -0.8476281829234926,
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+ ],
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+ -0.6311699719182663
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+ ],
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+ "blue": {
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+ "circle_color": "blue",
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+ "label": "box",
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+ "id": "box_0",
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+ "centroid": [
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+ 1.4573177099227905,
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+ -0.8371112942695618,
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+ -0.6714600324630737
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+ ],
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+ "distance_to_camera": 2.528170371156386,
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+ "width": 0.9280273914337158,
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+ "length": 0.9431158006191254,
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+ "height": 0.15932631492614746
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+ },
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+ "red": {
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+ "circle_color": "red",
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+ "label": "shelf",
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+ "id": "shelf_1",
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+ "centroid": [
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+ 0.9955302476882935,
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+ "distance_to_camera": 3.3609489137952484,
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+ "width": 0.7651857137680054,
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+ "length": 0.9988282918930054,
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+ "scene_id": "0282_txt_5f24cf097766",
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+ "layout_path": null,
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+ "image_path": "question_image_13.jpg"
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+ }
0282_txt_5f24cf097766/tasks/000_closest_object/question_14.json ADDED
@@ -0,0 +1,51 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "closest_object",
3
+ "question": "Identify which object has a smaller distance to the camera: artwork (blue point) or door (red point). Calculate or judge based on the 3D center points of these objects. Choose the right response.",
4
+ "choices": [
5
+ "A. artwork (blue point)",
6
+ "B. door (red point)"
7
+ ],
8
+ "answer": "A",
9
+ "camera_name": "view_010",
10
+ "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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+ "blue": {
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+ "circle_color": "blue",
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+ "label": "artwork",
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+ "id": "artwork_0",
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+ "centroid": [
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+ ],
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+ "distance_to_camera": 2.5874612728078765,
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+ "width": 0.6708984375,
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+ "length": 1.940185546875,
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+ "height": 1.301708996295929
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+ },
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+ "red": {
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+ "circle_color": "red",
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+ "label": "door",
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+ "id": "door_1",
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+ "centroid": [
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+ "distance_to_camera": 3.2055954566164733,
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+ "width": 0.2569873332977295,
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+ "scene_id": "0282_txt_5f24cf097766",
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+ "layout_path": null,
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+ "image_path": "question_image_14.jpg"
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+ }
0282_txt_5f24cf097766/tasks/000_closest_object/question_15.json ADDED
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1
+ {
2
+ "type": "closest_object",
3
+ "question": "Which of the following is nearer to the camera \u2014 photo (blue point) or box (red point)? Calculate or judge based on the 3D center points of these objects. Select the correct choice.",
4
+ "choices": [
5
+ "A. photo (blue point)",
6
+ "B. box (red point)"
7
+ ],
8
+ "answer": "B",
9
+ "camera_name": "rand_035",
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+ "camera_position": [
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+ -2.0340617924301494,
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+ ],
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+ "camera_look_at": [
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+ -0.6570351077008757
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+ ],
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+ "blue": {
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+ "circle_color": "blue",
22
+ "label": "photo",
23
+ "id": "photo_0",
24
+ "centroid": [
25
+ -0.47060292959213257,
26
+ 0.7751616835594177,
27
+ 0.1072998046875
28
+ ],
29
+ "distance_to_camera": 2.999653969198573,
30
+ "width": 0.22743165493011475,
31
+ "length": 0.1845703125,
32
+ "height": 0.229248046875
33
+ },
34
+ "red": {
35
+ "circle_color": "red",
36
+ "label": "box",
37
+ "id": "box_0",
38
+ "centroid": [
39
+ 1.4573177099227905,
40
+ -0.8371112942695618,
41
+ -0.6714600324630737
42
+ ],
43
+ "distance_to_camera": 1.6268737931600172,
44
+ "width": 0.9280273914337158,
45
+ "length": 0.9431158006191254,
46
+ "height": 0.15932631492614746
47
+ },
48
+ "scene_id": "0282_txt_5f24cf097766",
49
+ "layout_path": null,
50
+ "image_path": "question_image_15.jpg"
51
+ }
0282_txt_5f24cf097766/tasks/000_closest_object/question_16.json ADDED
@@ -0,0 +1,51 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "closest_object",
3
+ "question": "Which of the following is nearer to the camera \u2014 book (blue point) or box (red point)? Calculate or judge based on the 3D center points of these objects. Select the correct choice.",
4
+ "choices": [
5
+ "A. book (blue point)",
6
+ "B. box (red point)"
7
+ ],
8
+ "answer": "B",
9
+ "camera_name": "rand_046",
10
+ "camera_position": [
11
+ -0.025413529175440354,
12
+ -2.333402540099153,
13
+ -0.4202012084459894
14
+ ],
15
+ "camera_look_at": [
16
+ 0.7036350173427129,
17
+ 1.1036626373429863,
18
+ -0.534979820711028
19
+ ],
20
+ "blue": {
21
+ "circle_color": "blue",
22
+ "label": "book",
23
+ "id": "book_0",
24
+ "centroid": [
25
+ 0.5578253865242004,
26
+ 0.971293568611145,
27
+ -0.18778564408421516
28
+ ],
29
+ "distance_to_camera": 3.363807515044385,
30
+ "width": 0.55029296875,
31
+ "length": 0.3681640625,
32
+ "height": 0.47208496183156967
33
+ },
34
+ "red": {
35
+ "circle_color": "red",
36
+ "label": "box",
37
+ "id": "box_0",
38
+ "centroid": [
39
+ 1.4573177099227905,
40
+ -0.8371112942695618,
41
+ -0.6714600324630737
42
+ ],
43
+ "distance_to_camera": 2.1214406464453566,
44
+ "width": 0.9280273914337158,
45
+ "length": 0.9431158006191254,
46
+ "height": 0.15932631492614746
47
+ },
48
+ "scene_id": "0282_txt_5f24cf097766",
49
+ "layout_path": null,
50
+ "image_path": "question_image_16.jpg"
51
+ }
0282_txt_5f24cf097766/tasks/000_closest_object/question_17.json ADDED
@@ -0,0 +1,51 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "closest_object",
3
+ "question": "Identify which object has a smaller distance to the camera: shelf (blue point) or box (red point). Calculate or judge based on the 3D center points of these objects. Choose the right response.",
4
+ "choices": [
5
+ "A. shelf (blue point)",
6
+ "B. box (red point)"
7
+ ],
8
+ "answer": "B",
9
+ "camera_name": "rand_034",
10
+ "camera_position": [
11
+ 0.2892307548131494,
12
+ -1.639935628320116,
13
+ -0.5941425169929975
14
+ ],
15
+ "camera_look_at": [
16
+ 1.0106006363039528,
17
+ 0.9197090242871382,
18
+ -0.7048359475110595
19
+ ],
20
+ "blue": {
21
+ "circle_color": "blue",
22
+ "label": "shelf",
23
+ "id": "shelf_1",
24
+ "centroid": [
25
+ 0.7850164175033569,
26
+ 0.9955302476882935,
27
+ -1.2034913301467896
28
+ ],
29
+ "distance_to_camera": 2.7500526873181683,
30
+ "width": 0.7651857137680054,
31
+ "length": 0.9988282918930054,
32
+ "height": 0.07700228691101074
33
+ },
34
+ "red": {
35
+ "circle_color": "red",
36
+ "label": "box",
37
+ "id": "box_0",
38
+ "centroid": [
39
+ 1.4573177099227905,
40
+ -0.8371112942695618,
41
+ -0.6714600324630737
42
+ ],
43
+ "distance_to_camera": 1.4194830200602944,
44
+ "width": 0.9280273914337158,
45
+ "length": 0.9431158006191254,
46
+ "height": 0.15932631492614746
47
+ },
48
+ "scene_id": "0282_txt_5f24cf097766",
49
+ "layout_path": null,
50
+ "image_path": "question_image_17.jpg"
51
+ }
0282_txt_5f24cf097766/tasks/000_closest_object/question_18.json ADDED
@@ -0,0 +1,51 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "closest_object",
3
+ "question": "Comparing pegboard (blue point) and sunglasses (red point), which is at a shorter distance from the camera? Calculate or judge based on the 3D center points of these objects. Pick the right option.",
4
+ "choices": [
5
+ "A. pegboard (blue point)",
6
+ "B. sunglasses (red point)"
7
+ ],
8
+ "answer": "A",
9
+ "camera_name": "rand_057",
10
+ "camera_position": [
11
+ 1.286427998953057,
12
+ -0.030583769952572837,
13
+ -0.5860964504887995
14
+ ],
15
+ "camera_look_at": [
16
+ -1.2043472893749727,
17
+ -2.2204681046008923,
18
+ -0.6576468094667488
19
+ ],
20
+ "blue": {
21
+ "circle_color": "blue",
22
+ "label": "pegboard",
23
+ "id": "pegboard_0",
24
+ "centroid": [
25
+ 0.7925713062286377,
26
+ -2.261603832244873,
27
+ -0.0172119140625
28
+ ],
29
+ "distance_to_camera": 2.3547769675883123,
30
+ "width": 0.5712890625,
31
+ "length": 0.458984375,
32
+ "height": 0.968994140625
33
+ },
34
+ "red": {
35
+ "circle_color": "red",
36
+ "label": "sunglasses",
37
+ "id": "sunglasses_0",
38
+ "centroid": [
39
+ -1.297032117843628,
40
+ -1.5091252326965332,
41
+ 0.1614989936351776
42
+ ],
43
+ "distance_to_camera": 3.069079663385608,
44
+ "width": 0.3963087797164917,
45
+ "length": 0.6035841703414917,
46
+ "height": 0.18958014249801636
47
+ },
48
+ "scene_id": "0282_txt_5f24cf097766",
49
+ "layout_path": null,
50
+ "image_path": "question_image_18.jpg"
51
+ }
0282_txt_5f24cf097766/tasks/000_closest_object/question_19.json ADDED
@@ -0,0 +1,51 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "closest_object",
3
+ "question": "Out of storage bin (blue point) and pegboard (red point), which object is the nearest to the camera? Calculate or judge based on the 3D center points of these objects. Choose the appropriate answer.",
4
+ "choices": [
5
+ "A. storage bin (blue point)",
6
+ "B. pegboard (red point)"
7
+ ],
8
+ "answer": "B",
9
+ "camera_name": "rand_057",
10
+ "camera_position": [
11
+ 1.286427998953057,
12
+ -0.030583769952572837,
13
+ -0.5860964504887995
14
+ ],
15
+ "camera_look_at": [
16
+ -1.2043472893749727,
17
+ -2.2204681046008923,
18
+ -0.6576468094667488
19
+ ],
20
+ "blue": {
21
+ "circle_color": "blue",
22
+ "label": "storage bin",
23
+ "id": "storage bin_0",
24
+ "centroid": [
25
+ -1.3545222282409668,
26
+ -1.4919536113739014,
27
+ -1.278779298067093
28
+ ],
29
+ "distance_to_camera": 3.0967772672992058,
30
+ "width": 0.38525390625,
31
+ "length": 0.543818473815918,
32
+ "height": 0.9356054663658142
33
+ },
34
+ "red": {
35
+ "circle_color": "red",
36
+ "label": "pegboard",
37
+ "id": "pegboard_0",
38
+ "centroid": [
39
+ 0.7925713062286377,
40
+ -2.261603832244873,
41
+ -0.0172119140625
42
+ ],
43
+ "distance_to_camera": 2.3547769675883123,
44
+ "width": 0.5712890625,
45
+ "length": 0.458984375,
46
+ "height": 0.968994140625
47
+ },
48
+ "scene_id": "0282_txt_5f24cf097766",
49
+ "layout_path": null,
50
+ "image_path": "question_image_19.jpg"
51
+ }
0282_txt_5f24cf097766/tasks/000_closest_object/question_2.json ADDED
@@ -0,0 +1,51 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "closest_object",
3
+ "question": "Which is closer to the camera, sunglasses (blue point) or chair (red point)? Calculate or judge based on the 3D center points of these objects. Select the appropriate response from the given choices.",
4
+ "choices": [
5
+ "A. sunglasses (blue point)",
6
+ "B. chair (red point)"
7
+ ],
8
+ "answer": "B",
9
+ "camera_name": "rand_058",
10
+ "camera_position": [
11
+ 0.6830690777702532,
12
+ -0.8328594973057198,
13
+ -0.3928891491143447
14
+ ],
15
+ "camera_look_at": [
16
+ -1.3120272692827581,
17
+ -1.6122402330693215,
18
+ -0.6941324106330791
19
+ ],
20
+ "blue": {
21
+ "circle_color": "blue",
22
+ "label": "sunglasses",
23
+ "id": "sunglasses_0",
24
+ "centroid": [
25
+ -1.297032117843628,
26
+ -1.5091252326965332,
27
+ 0.1614989936351776
28
+ ],
29
+ "distance_to_camera": 2.1645974920424496,
30
+ "width": 0.3963087797164917,
31
+ "length": 0.6035841703414917,
32
+ "height": 0.18958014249801636
33
+ },
34
+ "red": {
35
+ "circle_color": "red",
36
+ "label": "chair",
37
+ "id": "chair_0",
38
+ "centroid": [
39
+ 0.06670965254306793,
40
+ -1.192366123199463,
41
+ -0.848271369934082
42
+ ],
43
+ "distance_to_camera": 0.8464732259006222,
44
+ "width": 0.7188769578933716,
45
+ "length": 0.4233589172363281,
46
+ "height": 0.7531833648681641
47
+ },
48
+ "scene_id": "0282_txt_5f24cf097766",
49
+ "layout_path": null,
50
+ "image_path": "question_image_2.jpg"
51
+ }
0282_txt_5f24cf097766/tasks/000_closest_object/question_20.json ADDED
@@ -0,0 +1,51 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "closest_object",
3
+ "question": "Out of pegboard (blue point) and artwork (red point), which object is the nearest to the camera? Calculate or judge based on the 3D center points of these objects. Choose the appropriate answer.",
4
+ "choices": [
5
+ "A. pegboard (blue point)",
6
+ "B. artwork (red point)"
7
+ ],
8
+ "answer": "B",
9
+ "camera_name": "view_001",
10
+ "camera_position": [
11
+ -0.0,
12
+ -0.0,
13
+ 0.0
14
+ ],
15
+ "camera_look_at": [
16
+ 4.829628944396973,
17
+ -8.36516284942627,
18
+ -2.5881905555725098
19
+ ],
20
+ "blue": {
21
+ "circle_color": "blue",
22
+ "label": "pegboard",
23
+ "id": "pegboard_0",
24
+ "centroid": [
25
+ 0.7925713062286377,
26
+ -2.261603832244873,
27
+ -0.0172119140625
28
+ ],
29
+ "distance_to_camera": 2.3965219422044437,
30
+ "width": 0.5712890625,
31
+ "length": 0.458984375,
32
+ "height": 0.968994140625
33
+ },
34
+ "red": {
35
+ "circle_color": "red",
36
+ "label": "artwork",
37
+ "id": "artwork_2",
38
+ "centroid": [
39
+ 1.5488924980163574,
40
+ -0.8388211727142334,
41
+ -0.6066894233226776
42
+ ],
43
+ "distance_to_camera": 1.8629978493215273,
44
+ "width": 0.6340917348861694,
45
+ "length": 0.532666027545929,
46
+ "height": 0.03630858659744263
47
+ },
48
+ "scene_id": "0282_txt_5f24cf097766",
49
+ "layout_path": null,
50
+ "image_path": "question_image_20.jpg"
51
+ }
0282_txt_5f24cf097766/tasks/000_closest_object/question_21.json ADDED
@@ -0,0 +1,51 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "closest_object",
3
+ "question": "Consider pegboard (blue point) and storage bin (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. pegboard (blue point)",
6
+ "B. storage bin (red point)"
7
+ ],
8
+ "answer": "A",
9
+ "camera_name": "rand_040",
10
+ "camera_position": [
11
+ 1.3301888225537224,
12
+ -0.39690729812934267,
13
+ -0.44191610478937404
14
+ ],
15
+ "camera_look_at": [
16
+ 0.40139870706010017,
17
+ -1.6227549560939427,
18
+ -0.7597739336648738
19
+ ],
20
+ "blue": {
21
+ "circle_color": "blue",
22
+ "label": "pegboard",
23
+ "id": "pegboard_0",
24
+ "centroid": [
25
+ 0.7925713062286377,
26
+ -2.261603832244873,
27
+ -0.0172119140625
28
+ ],
29
+ "distance_to_camera": 1.9865798266928498,
30
+ "width": 0.5712890625,
31
+ "length": 0.458984375,
32
+ "height": 0.968994140625
33
+ },
34
+ "red": {
35
+ "circle_color": "red",
36
+ "label": "storage bin",
37
+ "id": "storage bin_0",
38
+ "centroid": [
39
+ -1.3545222282409668,
40
+ -1.4919536113739014,
41
+ -1.278779298067093
42
+ ],
43
+ "distance_to_camera": 3.0178038138143783,
44
+ "width": 0.38525390625,
45
+ "length": 0.543818473815918,
46
+ "height": 0.9356054663658142
47
+ },
48
+ "scene_id": "0282_txt_5f24cf097766",
49
+ "layout_path": null,
50
+ "image_path": "question_image_21.jpg"
51
+ }
0282_txt_5f24cf097766/tasks/000_closest_object/question_22.json ADDED
@@ -0,0 +1,51 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "closest_object",
3
+ "question": "Out of drawer (blue point) and shelf (red point), which object is the nearest to the camera? Calculate or judge based on the 3D center points of these objects. Choose the appropriate answer.",
4
+ "choices": [
5
+ "A. drawer (blue point)",
6
+ "B. shelf (red point)"
7
+ ],
8
+ "answer": "A",
9
+ "camera_name": "rand_005",
10
+ "camera_position": [
11
+ 0.05786551276436282,
12
+ -1.0056416387820897,
13
+ -0.6460222954329433
14
+ ],
15
+ "camera_look_at": [
16
+ 2.476998929151297,
17
+ 0.17951135492980708,
18
+ -0.7268823137108205
19
+ ],
20
+ "blue": {
21
+ "circle_color": "blue",
22
+ "label": "drawer",
23
+ "id": "drawer_0",
24
+ "centroid": [
25
+ 1.1561342477798462,
26
+ -0.7061383724212646,
27
+ -1.2666845917701721
28
+ ],
29
+ "distance_to_camera": 1.2965793870673386,
30
+ "width": 0.5458984375,
31
+ "length": 0.41737306118011475,
32
+ "height": 0.5954395532608032
33
+ },
34
+ "red": {
35
+ "circle_color": "red",
36
+ "label": "shelf",
37
+ "id": "shelf_0",
38
+ "centroid": [
39
+ 0.8513299226760864,
40
+ 0.6699343919754028,
41
+ -0.450439453125
42
+ ],
43
+ "distance_to_camera": 1.8642407175176836,
44
+ "width": 0.9180469512939453,
45
+ "length": 0.7822461128234863,
46
+ "height": 0.0673828125
47
+ },
48
+ "scene_id": "0282_txt_5f24cf097766",
49
+ "layout_path": null,
50
+ "image_path": "question_image_22.jpg"
51
+ }
0282_txt_5f24cf097766/tasks/000_closest_object/question_23.json ADDED
@@ -0,0 +1,51 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "closest_object",
3
+ "question": "Consider shelf (blue point) and book (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. shelf (blue point)",
6
+ "B. book (red point)"
7
+ ],
8
+ "answer": "B",
9
+ "camera_name": "view_004",
10
+ "camera_position": [
11
+ -0.0,
12
+ -0.0,
13
+ 0.0
14
+ ],
15
+ "camera_look_at": [
16
+ 8.36516284942627,
17
+ 4.829628944396973,
18
+ -2.5881905555725098
19
+ ],
20
+ "blue": {
21
+ "circle_color": "blue",
22
+ "label": "shelf",
23
+ "id": "shelf_2",
24
+ "centroid": [
25
+ 1.501829743385315,
26
+ -0.3580622673034668,
27
+ -0.7842309474945068
28
+ ],
29
+ "distance_to_camera": 1.731681074676117,
30
+ "width": 0.44378936290740967,
31
+ "length": 1.1250686794519424,
32
+ "height": 0.08213376998901367
33
+ },
34
+ "red": {
35
+ "circle_color": "red",
36
+ "label": "book",
37
+ "id": "book_0",
38
+ "centroid": [
39
+ 0.5578253865242004,
40
+ 0.971293568611145,
41
+ -0.18778564408421516
42
+ ],
43
+ "distance_to_camera": 1.135712906680368,
44
+ "width": 0.55029296875,
45
+ "length": 0.3681640625,
46
+ "height": 0.47208496183156967
47
+ },
48
+ "scene_id": "0282_txt_5f24cf097766",
49
+ "layout_path": null,
50
+ "image_path": "question_image_23.jpg"
51
+ }
0282_txt_5f24cf097766/tasks/000_closest_object/question_24.json ADDED
@@ -0,0 +1,51 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "closest_object",
3
+ "question": "Consider shelf (blue point) and artwork (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. shelf (blue point)",
6
+ "B. artwork (red point)"
7
+ ],
8
+ "answer": "A",
9
+ "camera_name": "view_003",
10
+ "camera_position": [
11
+ -0.0,
12
+ -0.0,
13
+ 0.0
14
+ ],
15
+ "camera_look_at": [
16
+ 9.659257888793945,
17
+ -5.914589666286812e-16,
18
+ -2.5881905555725098
19
+ ],
20
+ "blue": {
21
+ "circle_color": "blue",
22
+ "label": "shelf",
23
+ "id": "shelf_0",
24
+ "centroid": [
25
+ 0.8513299226760864,
26
+ 0.6699343919754028,
27
+ -0.450439453125
28
+ ],
29
+ "distance_to_camera": 1.1732307649080265,
30
+ "width": 0.9180469512939453,
31
+ "length": 0.7822461128234863,
32
+ "height": 0.0673828125
33
+ },
34
+ "red": {
35
+ "circle_color": "red",
36
+ "label": "artwork",
37
+ "id": "artwork_2",
38
+ "centroid": [
39
+ 1.5488924980163574,
40
+ -0.8388211727142334,
41
+ -0.6066894233226776
42
+ ],
43
+ "distance_to_camera": 1.8629978493215273,
44
+ "width": 0.6340917348861694,
45
+ "length": 0.532666027545929,
46
+ "height": 0.03630858659744263
47
+ },
48
+ "scene_id": "0282_txt_5f24cf097766",
49
+ "layout_path": null,
50
+ "image_path": "question_image_24.jpg"
51
+ }
0282_txt_5f24cf097766/tasks/000_closest_object/question_25.json ADDED
@@ -0,0 +1,51 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "closest_object",
3
+ "question": "Comparing shelf (blue point) and book (red point), which is at a shorter distance from the camera? Calculate or judge based on the 3D center points of these objects. Pick the right option.",
4
+ "choices": [
5
+ "A. shelf (blue point)",
6
+ "B. book (red point)"
7
+ ],
8
+ "answer": "B",
9
+ "camera_name": "view_004",
10
+ "camera_position": [
11
+ -0.0,
12
+ -0.0,
13
+ 0.0
14
+ ],
15
+ "camera_look_at": [
16
+ 8.36516284942627,
17
+ 4.829628944396973,
18
+ -2.5881905555725098
19
+ ],
20
+ "blue": {
21
+ "circle_color": "blue",
22
+ "label": "shelf",
23
+ "id": "shelf_2",
24
+ "centroid": [
25
+ 1.501829743385315,
26
+ -0.3580622673034668,
27
+ -0.7842309474945068
28
+ ],
29
+ "distance_to_camera": 1.731681074676117,
30
+ "width": 0.44378936290740967,
31
+ "length": 1.1250686794519424,
32
+ "height": 0.08213376998901367
33
+ },
34
+ "red": {
35
+ "circle_color": "red",
36
+ "label": "book",
37
+ "id": "book_0",
38
+ "centroid": [
39
+ 0.5578253865242004,
40
+ 0.971293568611145,
41
+ -0.18778564408421516
42
+ ],
43
+ "distance_to_camera": 1.135712906680368,
44
+ "width": 0.55029296875,
45
+ "length": 0.3681640625,
46
+ "height": 0.47208496183156967
47
+ },
48
+ "scene_id": "0282_txt_5f24cf097766",
49
+ "layout_path": null,
50
+ "image_path": "question_image_25.jpg"
51
+ }
0282_txt_5f24cf097766/tasks/000_closest_object/question_3.json ADDED
@@ -0,0 +1,51 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "closest_object",
3
+ "question": "Of artwork (blue point) and shelf (red point), which is positioned closer to the camera? Calculate or judge based on the 3D center points of these objects. Select your answer from the choices.",
4
+ "choices": [
5
+ "A. artwork (blue point)",
6
+ "B. shelf (red point)"
7
+ ],
8
+ "answer": "B",
9
+ "camera_name": "view_003",
10
+ "camera_position": [
11
+ -0.0,
12
+ -0.0,
13
+ 0.0
14
+ ],
15
+ "camera_look_at": [
16
+ 9.659257888793945,
17
+ -5.914589666286812e-16,
18
+ -2.5881905555725098
19
+ ],
20
+ "blue": {
21
+ "circle_color": "blue",
22
+ "label": "artwork",
23
+ "id": "artwork_2",
24
+ "centroid": [
25
+ 1.5488924980163574,
26
+ -0.8388211727142334,
27
+ -0.6066894233226776
28
+ ],
29
+ "distance_to_camera": 1.8629978493215273,
30
+ "width": 0.6340917348861694,
31
+ "length": 0.532666027545929,
32
+ "height": 0.03630858659744263
33
+ },
34
+ "red": {
35
+ "circle_color": "red",
36
+ "label": "shelf",
37
+ "id": "shelf_0",
38
+ "centroid": [
39
+ 0.8513299226760864,
40
+ 0.6699343919754028,
41
+ -0.450439453125
42
+ ],
43
+ "distance_to_camera": 1.1732307649080265,
44
+ "width": 0.9180469512939453,
45
+ "length": 0.7822461128234863,
46
+ "height": 0.0673828125
47
+ },
48
+ "scene_id": "0282_txt_5f24cf097766",
49
+ "layout_path": null,
50
+ "image_path": "question_image_3.jpg"
51
+ }
0282_txt_5f24cf097766/tasks/000_closest_object/question_4.json ADDED
@@ -0,0 +1,51 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "closest_object",
3
+ "question": "Out of pegboard (blue point) and bookshelf (red point), which object is the nearest to the camera? Calculate or judge based on the 3D center points of these objects. Choose the appropriate answer.",
4
+ "choices": [
5
+ "A. pegboard (blue point)",
6
+ "B. bookshelf (red point)"
7
+ ],
8
+ "answer": "A",
9
+ "camera_name": "rand_040",
10
+ "camera_position": [
11
+ 1.3301888225537224,
12
+ -0.39690729812934267,
13
+ -0.44191610478937404
14
+ ],
15
+ "camera_look_at": [
16
+ 0.40139870706010017,
17
+ -1.6227549560939427,
18
+ -0.7597739336648738
19
+ ],
20
+ "blue": {
21
+ "circle_color": "blue",
22
+ "label": "pegboard",
23
+ "id": "pegboard_0",
24
+ "centroid": [
25
+ 0.7925713062286377,
26
+ -2.261603832244873,
27
+ -0.0172119140625
28
+ ],
29
+ "distance_to_camera": 1.9865798266928498,
30
+ "width": 0.5712890625,
31
+ "length": 0.458984375,
32
+ "height": 0.968994140625
33
+ },
34
+ "red": {
35
+ "circle_color": "red",
36
+ "label": "bookshelf",
37
+ "id": "bookshelf_0",
38
+ "centroid": [
39
+ -1.295317530632019,
40
+ -1.501181960105896,
41
+ -1.2166235446929932
42
+ ],
43
+ "distance_to_camera": 2.951758417815412,
44
+ "width": 0.5412988662719727,
45
+ "length": 0.722900390625,
46
+ "height": 1.5699658393859863
47
+ },
48
+ "scene_id": "0282_txt_5f24cf097766",
49
+ "layout_path": null,
50
+ "image_path": "question_image_4.jpg"
51
+ }
0282_txt_5f24cf097766/tasks/000_closest_object/question_5.json ADDED
@@ -0,0 +1,51 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "closest_object",
3
+ "question": "Comparing door (blue point) and storage bin (red point), which is at a shorter distance from the camera? Calculate or judge based on the 3D center points of these objects. Pick the right option.",
4
+ "choices": [
5
+ "A. door (blue point)",
6
+ "B. storage bin (red point)"
7
+ ],
8
+ "answer": "B",
9
+ "camera_name": "rand_004",
10
+ "camera_position": [
11
+ 0.5209717432783897,
12
+ -0.584680765356677,
13
+ -0.6219805286121627
14
+ ],
15
+ "camera_look_at": [
16
+ -1.2972870072638802,
17
+ -1.602286131404169,
18
+ -0.7058058638526336
19
+ ],
20
+ "blue": {
21
+ "circle_color": "blue",
22
+ "label": "door",
23
+ "id": "door_1",
24
+ "centroid": [
25
+ -2.718203067779541,
26
+ -0.7073046565055847,
27
+ -1.544970691204071
28
+ ],
29
+ "distance_to_camera": 3.3703413648344465,
30
+ "width": 0.2569873332977295,
31
+ "length": 0.14591312408447266,
32
+ "height": 1.030175805091858
33
+ },
34
+ "red": {
35
+ "circle_color": "red",
36
+ "label": "storage bin",
37
+ "id": "storage bin_0",
38
+ "centroid": [
39
+ -1.3545222282409668,
40
+ -1.4919536113739014,
41
+ -1.278779298067093
42
+ ],
43
+ "distance_to_camera": 2.184492224267039,
44
+ "width": 0.38525390625,
45
+ "length": 0.543818473815918,
46
+ "height": 0.9356054663658142
47
+ },
48
+ "scene_id": "0282_txt_5f24cf097766",
49
+ "layout_path": null,
50
+ "image_path": "question_image_5.jpg"
51
+ }
0282_txt_5f24cf097766/tasks/000_closest_object/question_6.json ADDED
@@ -0,0 +1,51 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "closest_object",
3
+ "question": "Comparing door (blue point) and artwork (red point), which is at a shorter distance from the camera? Calculate or judge based on the 3D center points of these objects. Pick the right option.",
4
+ "choices": [
5
+ "A. door (blue point)",
6
+ "B. artwork (red point)"
7
+ ],
8
+ "answer": "B",
9
+ "camera_name": "rand_057",
10
+ "camera_position": [
11
+ 1.286427998953057,
12
+ -0.030583769952572837,
13
+ -0.5860964504887995
14
+ ],
15
+ "camera_look_at": [
16
+ -1.2043472893749727,
17
+ -2.2204681046008923,
18
+ -0.6576468094667488
19
+ ],
20
+ "blue": {
21
+ "circle_color": "blue",
22
+ "label": "door",
23
+ "id": "door_1",
24
+ "centroid": [
25
+ -2.718203067779541,
26
+ -0.7073046565055847,
27
+ -1.544970691204071
28
+ ],
29
+ "distance_to_camera": 4.173063736446432,
30
+ "width": 0.2569873332977295,
31
+ "length": 0.14591312408447266,
32
+ "height": 1.030175805091858
33
+ },
34
+ "red": {
35
+ "circle_color": "red",
36
+ "label": "artwork",
37
+ "id": "artwork_0",
38
+ "centroid": [
39
+ -1.2790493965148926,
40
+ -2.2341432571411133,
41
+ 0.2599853575229645
42
+ ],
43
+ "distance_to_camera": 3.4861444471054397,
44
+ "width": 0.6708984375,
45
+ "length": 1.940185546875,
46
+ "height": 1.301708996295929
47
+ },
48
+ "scene_id": "0282_txt_5f24cf097766",
49
+ "layout_path": null,
50
+ "image_path": "question_image_6.jpg"
51
+ }
0282_txt_5f24cf097766/tasks/000_closest_object/question_7.json ADDED
@@ -0,0 +1,51 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "closest_object",
3
+ "question": "Between box (blue point) and chair (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. box (blue point)",
6
+ "B. chair (red point)"
7
+ ],
8
+ "answer": "B",
9
+ "camera_name": "rand_035",
10
+ "camera_position": [
11
+ 0.36430956013344074,
12
+ -2.0340617924301494,
13
+ -0.5323161202065667
14
+ ],
15
+ "camera_look_at": [
16
+ 0.9264235895531783,
17
+ 0.9355824154600301,
18
+ -0.6570351077008757
19
+ ],
20
+ "blue": {
21
+ "circle_color": "blue",
22
+ "label": "box",
23
+ "id": "box_0",
24
+ "centroid": [
25
+ 1.4573177099227905,
26
+ -0.8371112942695618,
27
+ -0.6714600324630737
28
+ ],
29
+ "distance_to_camera": 1.6268737931600172,
30
+ "width": 0.9280273914337158,
31
+ "length": 0.9431158006191254,
32
+ "height": 0.15932631492614746
33
+ },
34
+ "red": {
35
+ "circle_color": "red",
36
+ "label": "chair",
37
+ "id": "chair_0",
38
+ "centroid": [
39
+ 0.06670965254306793,
40
+ -1.192366123199463,
41
+ -0.848271369934082
42
+ ],
43
+ "distance_to_camera": 0.9470190200993158,
44
+ "width": 0.7188769578933716,
45
+ "length": 0.4233589172363281,
46
+ "height": 0.7531833648681641
47
+ },
48
+ "scene_id": "0282_txt_5f24cf097766",
49
+ "layout_path": null,
50
+ "image_path": "question_image_7.jpg"
51
+ }
0282_txt_5f24cf097766/tasks/000_closest_object/question_8.json ADDED
@@ -0,0 +1,51 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "closest_object",
3
+ "question": "Out of bookshelf (blue point) and chair (red point), which object is the nearest to the camera? Calculate or judge based on the 3D center points of these objects. Choose the appropriate answer.",
4
+ "choices": [
5
+ "A. bookshelf (blue point)",
6
+ "B. chair (red point)"
7
+ ],
8
+ "answer": "B",
9
+ "camera_name": "rand_058",
10
+ "camera_position": [
11
+ 0.6830690777702532,
12
+ -0.8328594973057198,
13
+ -0.3928891491143447
14
+ ],
15
+ "camera_look_at": [
16
+ -1.3120272692827581,
17
+ -1.6122402330693215,
18
+ -0.6941324106330791
19
+ ],
20
+ "blue": {
21
+ "circle_color": "blue",
22
+ "label": "bookshelf",
23
+ "id": "bookshelf_0",
24
+ "centroid": [
25
+ -1.295317530632019,
26
+ -1.501181960105896,
27
+ -1.2166235446929932
28
+ ],
29
+ "distance_to_camera": 2.2448177745750453,
30
+ "width": 0.5412988662719727,
31
+ "length": 0.722900390625,
32
+ "height": 1.5699658393859863
33
+ },
34
+ "red": {
35
+ "circle_color": "red",
36
+ "label": "chair",
37
+ "id": "chair_0",
38
+ "centroid": [
39
+ 0.06670965254306793,
40
+ -1.192366123199463,
41
+ -0.848271369934082
42
+ ],
43
+ "distance_to_camera": 0.8464732259006222,
44
+ "width": 0.7188769578933716,
45
+ "length": 0.4233589172363281,
46
+ "height": 0.7531833648681641
47
+ },
48
+ "scene_id": "0282_txt_5f24cf097766",
49
+ "layout_path": null,
50
+ "image_path": "question_image_8.jpg"
51
+ }
0282_txt_5f24cf097766/tasks/000_closest_object/question_9.json ADDED
@@ -0,0 +1,51 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "closest_object",
3
+ "question": "Of pegboard (blue point) and artwork (red point), which is positioned closer to the camera? Calculate or judge based on the 3D center points of these objects. Select your answer from the choices.",
4
+ "choices": [
5
+ "A. pegboard (blue point)",
6
+ "B. artwork (red point)"
7
+ ],
8
+ "answer": "A",
9
+ "camera_name": "rand_029",
10
+ "camera_position": [
11
+ 0.630072306196483,
12
+ -0.5711832464080748,
13
+ -0.5165768702769373
14
+ ],
15
+ "camera_look_at": [
16
+ 0.416083935102175,
17
+ -1.5231674686132588,
18
+ -0.6058974107583706
19
+ ],
20
+ "blue": {
21
+ "circle_color": "blue",
22
+ "label": "pegboard",
23
+ "id": "pegboard_0",
24
+ "centroid": [
25
+ 0.7925713062286377,
26
+ -2.261603832244873,
27
+ -0.0172119140625
28
+ ],
29
+ "distance_to_camera": 1.7701110251979453,
30
+ "width": 0.5712890625,
31
+ "length": 0.458984375,
32
+ "height": 0.968994140625
33
+ },
34
+ "red": {
35
+ "circle_color": "red",
36
+ "label": "artwork",
37
+ "id": "artwork_0",
38
+ "centroid": [
39
+ -1.2790493965148926,
40
+ -2.2341432571411133,
41
+ 0.2599853575229645
42
+ ],
43
+ "distance_to_camera": 2.648250472803952,
44
+ "width": 0.6708984375,
45
+ "length": 1.940185546875,
46
+ "height": 1.301708996295929
47
+ },
48
+ "scene_id": "0282_txt_5f24cf097766",
49
+ "layout_path": null,
50
+ "image_path": "question_image_9.jpg"
51
+ }
0282_txt_5f24cf097766/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 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": "0.85",
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": "photo",
18
+ "id": "photo_0",
19
+ "centroid": [
20
+ -0.47060292959213257,
21
+ 0.7751616835594177,
22
+ 0.1072998046875
23
+ ],
24
+ "depth": 0.85,
25
+ "width": 0.22743165493011475,
26
+ "length": 0.1845703125,
27
+ "height": 0.229248046875
28
+ },
29
+ "scene_id": "0282_txt_5f24cf097766",
30
+ "layout_path": null,
31
+ "image_path": "question_image_0.jpg"
32
+ }
0282_txt_5f24cf097766/tasks/001_depth_estimation/question_1.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "depth_estimation",
3
+ "question": "What depth value in meters corresponds to the artwork (red point)? Calculate or judge based on the 3D center points of these objects. Answer with a number only.",
4
+ "answer": "2.08",
5
+ "camera_name": "rand_041",
6
+ "camera_position": [
7
+ 0.29941864664463025,
8
+ -0.6011905227492531,
9
+ -0.38827966162713423
10
+ ],
11
+ "camera_look_at": [
12
+ -1.2781746442475843,
13
+ -1.7071572006096916,
14
+ -0.72947473284612
15
+ ],
16
+ "object": {
17
+ "label": "artwork",
18
+ "id": "artwork_0",
19
+ "centroid": [
20
+ -1.2790493965148926,
21
+ -2.2341432571411133,
22
+ 0.2599853575229645
23
+ ],
24
+ "depth": 2.08,
25
+ "width": 0.6708984375,
26
+ "length": 1.940185546875,
27
+ "height": 1.301708996295929
28
+ },
29
+ "scene_id": "0282_txt_5f24cf097766",
30
+ "layout_path": null,
31
+ "image_path": "question_image_1.jpg"
32
+ }
0282_txt_5f24cf097766/tasks/001_depth_estimation/question_10.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "depth_estimation",
3
+ "question": "How far along the depth axis is the artwork (red point) from the camera? Calculate or judge based on the 3D center points of these objects. Answer in meters only.",
4
+ "answer": "2.42",
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": "artwork",
18
+ "id": "artwork_0",
19
+ "centroid": [
20
+ -1.2790493965148926,
21
+ -2.2341432571411133,
22
+ 0.2599853575229645
23
+ ],
24
+ "depth": 2.42,
25
+ "width": 0.6708984375,
26
+ "length": 1.940185546875,
27
+ "height": 1.301708996295929
28
+ },
29
+ "scene_id": "0282_txt_5f24cf097766",
30
+ "layout_path": null,
31
+ "image_path": "question_image_10.jpg"
32
+ }
0282_txt_5f24cf097766/tasks/001_depth_estimation/question_11.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "depth_estimation",
3
+ "question": "What is the depth of the bookshelf (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": "1.1",
5
+ "camera_name": "rand_059",
6
+ "camera_position": [
7
+ 0.152053127074168,
8
+ 0.19899393282152633,
9
+ -0.40021912210131094
10
+ ],
11
+ "camera_look_at": [
12
+ 0.8558723225380298,
13
+ 0.668884670189312,
14
+ -0.5024155129798418
15
+ ],
16
+ "object": {
17
+ "label": "bookshelf",
18
+ "id": "bookshelf_1",
19
+ "centroid": [
20
+ 1.0016216039657593,
21
+ 0.9185864925384521,
22
+ -0.41007089614868164
23
+ ],
24
+ "depth": 1.1,
25
+ "width": 1.248291015625,
26
+ "length": 1.283203125,
27
+ "height": 1.5257081985473633
28
+ },
29
+ "scene_id": "0282_txt_5f24cf097766",
30
+ "layout_path": null,
31
+ "image_path": "question_image_11.jpg"
32
+ }
0282_txt_5f24cf097766/tasks/001_depth_estimation/question_12.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "depth_estimation",
3
+ "question": "How far along the depth axis is the drawer (red point) from the camera? Calculate or judge based on the 3D center points of these objects. Answer in meters only.",
4
+ "answer": "1.99",
5
+ "camera_name": "rand_021",
6
+ "camera_position": [
7
+ -0.7503248998630836,
8
+ -0.643442791367382,
9
+ -0.40589336811167964
10
+ ],
11
+ "camera_look_at": [
12
+ 1.485743558795309,
13
+ -0.896145128953852,
14
+ -0.670438775485206
15
+ ],
16
+ "object": {
17
+ "label": "drawer",
18
+ "id": "drawer_0",
19
+ "centroid": [
20
+ 1.1561342477798462,
21
+ -0.7061383724212646,
22
+ -1.2666845917701721
23
+ ],
24
+ "depth": 1.99,
25
+ "width": 0.5458984375,
26
+ "length": 0.41737306118011475,
27
+ "height": 0.5954395532608032
28
+ },
29
+ "scene_id": "0282_txt_5f24cf097766",
30
+ "layout_path": null,
31
+ "image_path": "question_image_12.jpg"
32
+ }
0282_txt_5f24cf097766/tasks/001_depth_estimation/question_13.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "depth_estimation",
3
+ "question": "Measure the depth to the door (red point) in meters. Calculate or judge based on the 3D center points of these objects. Reply with a single number.",
4
+ "answer": "3.02",
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": "door",
18
+ "id": "door_1",
19
+ "centroid": [
20
+ -2.718203067779541,
21
+ -0.7073046565055847,
22
+ -1.544970691204071
23
+ ],
24
+ "depth": 3.02,
25
+ "width": 0.2569873332977295,
26
+ "length": 0.14591312408447266,
27
+ "height": 1.030175805091858
28
+ },
29
+ "scene_id": "0282_txt_5f24cf097766",
30
+ "layout_path": null,
31
+ "image_path": "question_image_13.jpg"
32
+ }
0282_txt_5f24cf097766/tasks/001_depth_estimation/question_14.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "depth_estimation",
3
+ "question": "Calculate the depth of the chair (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": "1.12",
5
+ "camera_name": "rand_047",
6
+ "camera_position": [
7
+ -0.8476281829234926,
8
+ -1.8687193904349901,
9
+ -0.5504038778487441
10
+ ],
11
+ "camera_look_at": [
12
+ 1.441486206120862,
13
+ -0.7887512992475183,
14
+ -0.6311699719182663
15
+ ],
16
+ "object": {
17
+ "label": "chair",
18
+ "id": "chair_0",
19
+ "centroid": [
20
+ 0.06670965254306793,
21
+ -1.192366123199463,
22
+ -0.848271369934082
23
+ ],
24
+ "depth": 1.12,
25
+ "width": 0.7188769578933716,
26
+ "length": 0.4233589172363281,
27
+ "height": 0.7531833648681641
28
+ },
29
+ "scene_id": "0282_txt_5f24cf097766",
30
+ "layout_path": null,
31
+ "image_path": "question_image_14.jpg"
32
+ }
0282_txt_5f24cf097766/tasks/001_depth_estimation/question_15.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": "1.86",
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_2",
19
+ "centroid": [
20
+ 1.5488924980163574,
21
+ -0.8388211727142334,
22
+ -0.6066894233226776
23
+ ],
24
+ "depth": 1.86,
25
+ "width": 0.6340917348861694,
26
+ "length": 0.532666027545929,
27
+ "height": 0.03630858659744263
28
+ },
29
+ "scene_id": "0282_txt_5f24cf097766",
30
+ "layout_path": null,
31
+ "image_path": "question_image_15.jpg"
32
+ }
0282_txt_5f24cf097766/tasks/001_depth_estimation/question_16.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 box (red point)? Calculate or judge based on the 3D center points of these objects. Answer in meters, number only.",
4
+ "answer": "1.33",
5
+ "camera_name": "rand_005",
6
+ "camera_position": [
7
+ 0.05786551276436282,
8
+ -1.0056416387820897,
9
+ -0.6460222954329433
10
+ ],
11
+ "camera_look_at": [
12
+ 2.476998929151297,
13
+ 0.17951135492980708,
14
+ -0.7268823137108205
15
+ ],
16
+ "object": {
17
+ "label": "box",
18
+ "id": "box_0",
19
+ "centroid": [
20
+ 1.4573177099227905,
21
+ -0.8371112942695618,
22
+ -0.6714600324630737
23
+ ],
24
+ "depth": 1.33,
25
+ "width": 0.9280273914337158,
26
+ "length": 0.9431158006191254,
27
+ "height": 0.15932631492614746
28
+ },
29
+ "scene_id": "0282_txt_5f24cf097766",
30
+ "layout_path": null,
31
+ "image_path": "question_image_16.jpg"
32
+ }
0282_txt_5f24cf097766/tasks/001_depth_estimation/question_17.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": "2.3",
5
+ "camera_name": "rand_048",
6
+ "camera_position": [
7
+ 0.31852482257170445,
8
+ -2.0569565946262243,
9
+ -0.364474276586636
10
+ ],
11
+ "camera_look_at": [
12
+ 0.03773038740666823,
13
+ -1.1031287367378448,
14
+ -0.7941499499382738
15
+ ],
16
+ "object": {
17
+ "label": "shelf",
18
+ "id": "shelf_0",
19
+ "centroid": [
20
+ 0.8513299226760864,
21
+ 0.6699343919754028,
22
+ -0.450439453125
23
+ ],
24
+ "depth": 2.3,
25
+ "width": 0.9180469512939453,
26
+ "length": 0.7822461128234863,
27
+ "height": 0.0673828125
28
+ },
29
+ "scene_id": "0282_txt_5f24cf097766",
30
+ "layout_path": null,
31
+ "image_path": "question_image_17.jpg"
32
+ }
0282_txt_5f24cf097766/tasks/001_depth_estimation/question_18.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "depth_estimation",
3
+ "question": "What is the depth of the storage bin (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": "1.77",
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": "storage bin",
18
+ "id": "storage bin_0",
19
+ "centroid": [
20
+ -1.3545222282409668,
21
+ -1.4919536113739014,
22
+ -1.278779298067093
23
+ ],
24
+ "depth": 1.77,
25
+ "width": 0.38525390625,
26
+ "length": 0.543818473815918,
27
+ "height": 0.9356054663658142
28
+ },
29
+ "scene_id": "0282_txt_5f24cf097766",
30
+ "layout_path": null,
31
+ "image_path": "question_image_18.jpg"
32
+ }
0282_txt_5f24cf097766/tasks/001_depth_estimation/question_19.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "depth_estimation",
3
+ "question": "Calculate the depth of the shelf (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": "2.3",
5
+ "camera_name": "rand_048",
6
+ "camera_position": [
7
+ 0.31852482257170445,
8
+ -2.0569565946262243,
9
+ -0.364474276586636
10
+ ],
11
+ "camera_look_at": [
12
+ 0.03773038740666823,
13
+ -1.1031287367378448,
14
+ -0.7941499499382738
15
+ ],
16
+ "object": {
17
+ "label": "shelf",
18
+ "id": "shelf_0",
19
+ "centroid": [
20
+ 0.8513299226760864,
21
+ 0.6699343919754028,
22
+ -0.450439453125
23
+ ],
24
+ "depth": 2.3,
25
+ "width": 0.9180469512939453,
26
+ "length": 0.7822461128234863,
27
+ "height": 0.0673828125
28
+ },
29
+ "scene_id": "0282_txt_5f24cf097766",
30
+ "layout_path": null,
31
+ "image_path": "question_image_19.jpg"
32
+ }
0282_txt_5f24cf097766/tasks/001_depth_estimation/question_2.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "depth_estimation",
3
+ "question": "Calculate the depth of the bookshelf (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": "1.98",
5
+ "camera_name": "rand_032",
6
+ "camera_position": [
7
+ -0.3863153093049296,
8
+ -0.9827817273199952,
9
+ -0.416981712999966
10
+ ],
11
+ "camera_look_at": [
12
+ 2.458042100051461,
13
+ 0.11658483494946248,
14
+ -0.6082627848642131
15
+ ],
16
+ "object": {
17
+ "label": "bookshelf",
18
+ "id": "bookshelf_1",
19
+ "centroid": [
20
+ 1.0016216039657593,
21
+ 0.9185864925384521,
22
+ -0.41007089614868164
23
+ ],
24
+ "depth": 1.98,
25
+ "width": 1.248291015625,
26
+ "length": 1.283203125,
27
+ "height": 1.5257081985473633
28
+ },
29
+ "scene_id": "0282_txt_5f24cf097766",
30
+ "layout_path": null,
31
+ "image_path": "question_image_2.jpg"
32
+ }
0282_txt_5f24cf097766/tasks/001_depth_estimation/question_20.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": "2.47",
5
+ "camera_name": "rand_047",
6
+ "camera_position": [
7
+ -0.8476281829234926,
8
+ -1.8687193904349901,
9
+ -0.5504038778487441
10
+ ],
11
+ "camera_look_at": [
12
+ 1.441486206120862,
13
+ -0.7887512992475183,
14
+ -0.6311699719182663
15
+ ],
16
+ "object": {
17
+ "label": "book",
18
+ "id": "book_0",
19
+ "centroid": [
20
+ 0.5578253865242004,
21
+ 0.971293568611145,
22
+ -0.18778564408421516
23
+ ],
24
+ "depth": 2.47,
25
+ "width": 0.55029296875,
26
+ "length": 0.3681640625,
27
+ "height": 0.47208496183156967
28
+ },
29
+ "scene_id": "0282_txt_5f24cf097766",
30
+ "layout_path": null,
31
+ "image_path": "question_image_20.jpg"
32
+ }
0282_txt_5f24cf097766/tasks/001_depth_estimation/question_21.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "depth_estimation",
3
+ "question": "Measure the depth to the shelf (red point) in meters. Calculate or judge based on the 3D center points of these objects. Reply with a single number.",
4
+ "answer": "2.72",
5
+ "camera_name": "rand_047",
6
+ "camera_position": [
7
+ -0.8476281829234926,
8
+ -1.8687193904349901,
9
+ -0.5504038778487441
10
+ ],
11
+ "camera_look_at": [
12
+ 1.441486206120862,
13
+ -0.7887512992475183,
14
+ -0.6311699719182663
15
+ ],
16
+ "object": {
17
+ "label": "shelf",
18
+ "id": "shelf_1",
19
+ "centroid": [
20
+ 0.7850164175033569,
21
+ 0.9955302476882935,
22
+ -1.2034913301467896
23
+ ],
24
+ "depth": 2.72,
25
+ "width": 0.7651857137680054,
26
+ "length": 0.9988282918930054,
27
+ "height": 0.07700228691101074
28
+ },
29
+ "scene_id": "0282_txt_5f24cf097766",
30
+ "layout_path": null,
31
+ "image_path": "question_image_21.jpg"
32
+ }
0282_txt_5f24cf097766/tasks/001_depth_estimation/question_22.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "depth_estimation",
3
+ "question": "What is the depth of the book (red point)? Calculate or judge based on the 3D center points of these objects. The unit is meter. Answer using a single number and nothing else.",
4
+ "answer": "0.74",
5
+ "camera_name": "rand_059",
6
+ "camera_position": [
7
+ 0.152053127074168,
8
+ 0.19899393282152633,
9
+ -0.40021912210131094
10
+ ],
11
+ "camera_look_at": [
12
+ 0.8558723225380298,
13
+ 0.668884670189312,
14
+ -0.5024155129798418
15
+ ],
16
+ "object": {
17
+ "label": "book",
18
+ "id": "book_0",
19
+ "centroid": [
20
+ 0.5578253865242004,
21
+ 0.971293568611145,
22
+ -0.18778564408421516
23
+ ],
24
+ "depth": 0.74,
25
+ "width": 0.55029296875,
26
+ "length": 0.3681640625,
27
+ "height": 0.47208496183156967
28
+ },
29
+ "scene_id": "0282_txt_5f24cf097766",
30
+ "layout_path": null,
31
+ "image_path": "question_image_22.jpg"
32
+ }
0282_txt_5f24cf097766/tasks/001_depth_estimation/question_23.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "depth_estimation",
3
+ "question": "What depth value in meters corresponds to the artwork (red point)? Calculate or judge based on the 3D center points of these objects. Answer with a number only.",
4
+ "answer": "2.39",
5
+ "camera_name": "rand_046",
6
+ "camera_position": [
7
+ -0.025413529175440354,
8
+ -2.333402540099153,
9
+ -0.4202012084459894
10
+ ],
11
+ "camera_look_at": [
12
+ 0.7036350173427129,
13
+ 1.1036626373429863,
14
+ -0.534979820711028
15
+ ],
16
+ "object": {
17
+ "label": "artwork",
18
+ "id": "artwork_6",
19
+ "centroid": [
20
+ -0.9852209687232971,
21
+ 0.33588796854019165,
22
+ 0.1085205078125
23
+ ],
24
+ "depth": 2.39,
25
+ "width": 0.34912109375,
26
+ "length": 0.279052734375,
27
+ "height": 0.371337890625
28
+ },
29
+ "scene_id": "0282_txt_5f24cf097766",
30
+ "layout_path": null,
31
+ "image_path": "question_image_23.jpg"
32
+ }
0282_txt_5f24cf097766/tasks/001_depth_estimation/question_24.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "depth_estimation",
3
+ "question": "How deep is the shelf (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_032",
6
+ "camera_position": [
7
+ -0.3863153093049296,
8
+ -0.9827817273199952,
9
+ -0.416981712999966
10
+ ],
11
+ "camera_look_at": [
12
+ 2.458042100051461,
13
+ 0.11658483494946248,
14
+ -0.6082627848642131
15
+ ],
16
+ "object": {
17
+ "label": "shelf",
18
+ "id": "shelf_1",
19
+ "centroid": [
20
+ 0.7850164175033569,
21
+ 0.9955302476882935,
22
+ -1.2034913301467896
23
+ ],
24
+ "depth": 1.85,
25
+ "width": 0.7651857137680054,
26
+ "length": 0.9988282918930054,
27
+ "height": 0.07700228691101074
28
+ },
29
+ "scene_id": "0282_txt_5f24cf097766",
30
+ "layout_path": null,
31
+ "image_path": "question_image_24.jpg"
32
+ }
0282_txt_5f24cf097766/tasks/001_depth_estimation/question_25.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "depth_estimation",
3
+ "question": "What depth value in meters corresponds to the storage bin (red point)? Calculate or judge based on the 3D center points of these objects. Answer with a number only.",
4
+ "answer": "1.89",
5
+ "camera_name": "rand_052",
6
+ "camera_position": [
7
+ 0.2486319047945733,
8
+ -0.4947685313716914,
9
+ -0.7997422457573538
10
+ ],
11
+ "camera_look_at": [
12
+ -1.310581352434053,
13
+ -1.726847937312519,
14
+ -0.8694991264727633
15
+ ],
16
+ "object": {
17
+ "label": "storage bin",
18
+ "id": "storage bin_0",
19
+ "centroid": [
20
+ -1.3545222282409668,
21
+ -1.4919536113739014,
22
+ -1.278779298067093
23
+ ],
24
+ "depth": 1.89,
25
+ "width": 0.38525390625,
26
+ "length": 0.543818473815918,
27
+ "height": 0.9356054663658142
28
+ },
29
+ "scene_id": "0282_txt_5f24cf097766",
30
+ "layout_path": null,
31
+ "image_path": "question_image_25.jpg"
32
+ }
0282_txt_5f24cf097766/tasks/001_depth_estimation/question_26.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "depth_estimation",
3
+ "question": "How deep is the photo (red point) from the camera? Calculate or judge based on the 3D center points of these objects. Give the answer in meters as a single number.",
4
+ "answer": "0.85",
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": "photo",
18
+ "id": "photo_0",
19
+ "centroid": [
20
+ -0.47060292959213257,
21
+ 0.7751616835594177,
22
+ 0.1072998046875
23
+ ],
24
+ "depth": 0.85,
25
+ "width": 0.22743165493011475,
26
+ "length": 0.1845703125,
27
+ "height": 0.229248046875
28
+ },
29
+ "scene_id": "0282_txt_5f24cf097766",
30
+ "layout_path": null,
31
+ "image_path": "question_image_26.jpg"
32
+ }
0282_txt_5f24cf097766/tasks/001_depth_estimation/question_27.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "depth_estimation",
3
+ "question": "What is the depth of the book (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": "2.07",
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": "book",
18
+ "id": "book_1",
19
+ "centroid": [
20
+ -1.2919868230819702,
21
+ -1.668349027633667,
22
+ -0.7021240293979645
23
+ ],
24
+ "depth": 2.07,
25
+ "width": 0.2147362232208252,
26
+ "length": 0.32849597930908203,
27
+ "height": 0.25032228231430054
28
+ },
29
+ "scene_id": "0282_txt_5f24cf097766",
30
+ "layout_path": null,
31
+ "image_path": "question_image_27.jpg"
32
+ }
0282_txt_5f24cf097766/tasks/001_depth_estimation/question_28.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": "1.79",
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": "book",
18
+ "id": "book_1",
19
+ "centroid": [
20
+ -1.2919868230819702,
21
+ -1.668349027633667,
22
+ -0.7021240293979645
23
+ ],
24
+ "depth": 1.79,
25
+ "width": 0.2147362232208252,
26
+ "length": 0.32849597930908203,
27
+ "height": 0.25032228231430054
28
+ },
29
+ "scene_id": "0282_txt_5f24cf097766",
30
+ "layout_path": null,
31
+ "image_path": "question_image_28.jpg"
32
+ }
0282_txt_5f24cf097766/tasks/001_depth_estimation/question_29.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "depth_estimation",
3
+ "question": "How far along the depth axis is the artwork (red point) from the camera? Calculate or judge based on the 3D center points of these objects. Answer in meters only.",
4
+ "answer": "0.92",
5
+ "camera_name": "view_009",
6
+ "camera_position": [
7
+ -0.0,
8
+ -0.0,
9
+ 0.0
10
+ ],
11
+ "camera_look_at": [
12
+ -9.659257888793945,
13
+ 1.774377005765162e-15,
14
+ -2.5881905555725098
15
+ ],
16
+ "object": {
17
+ "label": "artwork",
18
+ "id": "artwork_6",
19
+ "centroid": [
20
+ -0.9852209687232971,
21
+ 0.33588796854019165,
22
+ 0.1085205078125
23
+ ],
24
+ "depth": 0.92,
25
+ "width": 0.34912109375,
26
+ "length": 0.279052734375,
27
+ "height": 0.371337890625
28
+ },
29
+ "scene_id": "0282_txt_5f24cf097766",
30
+ "layout_path": null,
31
+ "image_path": "question_image_29.jpg"
32
+ }
0282_txt_5f24cf097766/tasks/001_depth_estimation/question_3.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "depth_estimation",
3
+ "question": "What is the depth of the pegboard (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": "1.07",
5
+ "camera_name": "rand_044",
6
+ "camera_position": [
7
+ 0.7084321527328612,
8
+ -1.1606159169729622,
9
+ -0.510606234301453
10
+ ],
11
+ "camera_look_at": [
12
+ 0.9351292180740295,
13
+ -2.268012934375333,
14
+ -0.574598724990331
15
+ ],
16
+ "object": {
17
+ "label": "pegboard",
18
+ "id": "pegboard_0",
19
+ "centroid": [
20
+ 0.7925713062286377,
21
+ -2.261603832244873,
22
+ -0.0172119140625
23
+ ],
24
+ "depth": 1.07,
25
+ "width": 0.5712890625,
26
+ "length": 0.458984375,
27
+ "height": 0.968994140625
28
+ },
29
+ "scene_id": "0282_txt_5f24cf097766",
30
+ "layout_path": null,
31
+ "image_path": "question_image_3.jpg"
32
+ }