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  1. 0071_txt_5a6637e25bc0/tasks/000_closest_object/question_0.json +51 -0
  2. 0071_txt_5a6637e25bc0/tasks/000_closest_object/question_1.json +51 -0
  3. 0071_txt_5a6637e25bc0/tasks/000_closest_object/question_2.json +51 -0
  4. 0071_txt_5a6637e25bc0/tasks/000_closest_object/question_3.json +51 -0
  5. 0071_txt_5a6637e25bc0/tasks/000_closest_object/question_4.json +51 -0
  6. 0071_txt_5a6637e25bc0/tasks/000_closest_object/question_5.json +51 -0
  7. 0071_txt_5a6637e25bc0/tasks/001_depth_estimation/question_0.json +32 -0
  8. 0071_txt_5a6637e25bc0/tasks/001_depth_estimation/question_1.json +32 -0
  9. 0071_txt_5a6637e25bc0/tasks/001_depth_estimation/question_10.json +32 -0
  10. 0071_txt_5a6637e25bc0/tasks/001_depth_estimation/question_11.json +32 -0
  11. 0071_txt_5a6637e25bc0/tasks/001_depth_estimation/question_12.json +32 -0
  12. 0071_txt_5a6637e25bc0/tasks/001_depth_estimation/question_13.json +32 -0
  13. 0071_txt_5a6637e25bc0/tasks/001_depth_estimation/question_14.json +32 -0
  14. 0071_txt_5a6637e25bc0/tasks/001_depth_estimation/question_15.json +32 -0
  15. 0071_txt_5a6637e25bc0/tasks/001_depth_estimation/question_2.json +32 -0
  16. 0071_txt_5a6637e25bc0/tasks/001_depth_estimation/question_3.json +32 -0
  17. 0071_txt_5a6637e25bc0/tasks/001_depth_estimation/question_4.json +32 -0
  18. 0071_txt_5a6637e25bc0/tasks/001_depth_estimation/question_5.json +32 -0
  19. 0071_txt_5a6637e25bc0/tasks/001_depth_estimation/question_6.json +32 -0
  20. 0071_txt_5a6637e25bc0/tasks/001_depth_estimation/question_7.json +32 -0
  21. 0071_txt_5a6637e25bc0/tasks/001_depth_estimation/question_8.json +32 -0
  22. 0071_txt_5a6637e25bc0/tasks/001_depth_estimation/question_9.json +32 -0
  23. 0071_txt_5a6637e25bc0/tasks/002_distance_estimation/question_0.json +32 -0
  24. 0071_txt_5a6637e25bc0/tasks/002_distance_estimation/question_1.json +32 -0
  25. 0071_txt_5a6637e25bc0/tasks/002_distance_estimation/question_10.json +32 -0
  26. 0071_txt_5a6637e25bc0/tasks/002_distance_estimation/question_11.json +32 -0
  27. 0071_txt_5a6637e25bc0/tasks/002_distance_estimation/question_12.json +32 -0
  28. 0071_txt_5a6637e25bc0/tasks/002_distance_estimation/question_14.json +32 -0
  29. 0071_txt_5a6637e25bc0/tasks/002_distance_estimation/question_15.json +32 -0
  30. 0071_txt_5a6637e25bc0/tasks/002_distance_estimation/question_2.json +32 -0
  31. 0071_txt_5a6637e25bc0/tasks/002_distance_estimation/question_4.json +32 -0
  32. 0071_txt_5a6637e25bc0/tasks/002_distance_estimation/question_6.json +32 -0
  33. 0071_txt_5a6637e25bc0/tasks/002_distance_estimation/question_7.json +32 -0
  34. 0071_txt_5a6637e25bc0/tasks/002_distance_estimation/question_9.json +32 -0
  35. 0071_txt_5a6637e25bc0/tasks/006_depth_ordering/question_0.json +72 -0
  36. 0071_txt_5a6637e25bc0/tasks/006_depth_ordering/question_1.json +72 -0
  37. 0071_txt_5a6637e25bc0/tasks/006_depth_ordering/question_10.json +72 -0
  38. 0071_txt_5a6637e25bc0/tasks/006_depth_ordering/question_11.json +72 -0
  39. 0071_txt_5a6637e25bc0/tasks/006_depth_ordering/question_12.json +72 -0
  40. 0071_txt_5a6637e25bc0/tasks/006_depth_ordering/question_13.json +72 -0
  41. 0071_txt_5a6637e25bc0/tasks/006_depth_ordering/question_14.json +72 -0
  42. 0071_txt_5a6637e25bc0/tasks/006_depth_ordering/question_15.json +72 -0
  43. 0071_txt_5a6637e25bc0/tasks/006_depth_ordering/question_16.json +72 -0
  44. 0071_txt_5a6637e25bc0/tasks/006_depth_ordering/question_17.json +72 -0
  45. 0071_txt_5a6637e25bc0/tasks/006_depth_ordering/question_18.json +72 -0
  46. 0071_txt_5a6637e25bc0/tasks/006_depth_ordering/question_19.json +72 -0
  47. 0071_txt_5a6637e25bc0/tasks/006_depth_ordering/question_2.json +72 -0
  48. 0071_txt_5a6637e25bc0/tasks/006_depth_ordering/question_20.json +72 -0
  49. 0071_txt_5a6637e25bc0/tasks/006_depth_ordering/question_21.json +72 -0
  50. 0071_txt_5a6637e25bc0/tasks/006_depth_ordering/question_22.json +72 -0
0071_txt_5a6637e25bc0/tasks/000_closest_object/question_0.json ADDED
@@ -0,0 +1,51 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "closest_object",
3
+ "question": "Out of desk (blue point) and door (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. desk (blue point)",
6
+ "B. door (red point)"
7
+ ],
8
+ "answer": "B",
9
+ "camera_name": "rand_040",
10
+ "camera_position": [
11
+ -0.6982221796026048,
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+ -0.48935985368237733,
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+ 0.6542237429482938
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+ ],
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+ "camera_look_at": [
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+ -0.6678234898459746,
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+ -0.7646761956407486,
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+ -0.2448160027579367
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+ ],
20
+ "blue": {
21
+ "circle_color": "blue",
22
+ "label": "desk",
23
+ "id": "desk_0",
24
+ "centroid": [
25
+ 0.24273766577243805,
26
+ -0.8438810706138611,
27
+ -0.544677734375
28
+ ],
29
+ "distance_to_camera": 1.564754126433537,
30
+ "width": 1.0358390808105469,
31
+ "length": 0.7626953125,
32
+ "height": 0.46533203125
33
+ },
34
+ "red": {
35
+ "circle_color": "red",
36
+ "label": "door",
37
+ "id": "door_0",
38
+ "centroid": [
39
+ -0.7060636281967163,
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+ -0.8650074005126953,
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+ -0.242919921875
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+ ],
43
+ "distance_to_camera": 0.9726455279742258,
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+ "width": 0.50830078125,
45
+ "length": 0.329345703125,
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+ "height": 1.1650390625
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+ },
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+ "scene_id": "0071_txt_5a6637e25bc0",
49
+ "layout_path": null,
50
+ "image_path": "question_image_0.jpg"
51
+ }
0071_txt_5a6637e25bc0/tasks/000_closest_object/question_1.json ADDED
@@ -0,0 +1,51 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "closest_object",
3
+ "question": "Determine which object is closer to the camera: monitor (blue point) or door (red point). Calculate or judge based on the 3D center points of these objects. Choose from the given options.",
4
+ "choices": [
5
+ "A. monitor (blue point)",
6
+ "B. door (red point)"
7
+ ],
8
+ "answer": "A",
9
+ "camera_name": "rand_048",
10
+ "camera_position": [
11
+ 0.09274472043828219,
12
+ -0.5870113594328985,
13
+ 0.845768700931016
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+ ],
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+ "camera_look_at": [
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+ 0.7635087705271988,
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+ -0.30434712594418456,
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+ -0.1815530283643767
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+ ],
20
+ "blue": {
21
+ "circle_color": "blue",
22
+ "label": "monitor",
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+ "id": "monitor_0",
24
+ "centroid": [
25
+ 0.648286759853363,
26
+ -1.0358108282089233,
27
+ -0.136962890625
28
+ ],
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+ "distance_to_camera": 1.214828918726143,
30
+ "width": 0.451416015625,
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+ "length": 0.16455078125,
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+ "height": 0.37548828125
33
+ },
34
+ "red": {
35
+ "circle_color": "red",
36
+ "label": "door",
37
+ "id": "door_1",
38
+ "centroid": [
39
+ 0.4229137897491455,
40
+ 0.8669730424880981,
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+ -0.2708740234375
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+ ],
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+ "distance_to_camera": 1.8627864153585352,
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+ "width": 0.4912109375,
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+ "length": 0.320068359375,
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+ "height": 1.121826171875
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+ },
48
+ "scene_id": "0071_txt_5a6637e25bc0",
49
+ "layout_path": null,
50
+ "image_path": "question_image_1.jpg"
51
+ }
0071_txt_5a6637e25bc0/tasks/000_closest_object/question_2.json ADDED
@@ -0,0 +1,51 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "closest_object",
3
+ "question": "Which of the following is nearer to the camera \u2014 desk (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. desk (blue point)",
6
+ "B. door (red point)"
7
+ ],
8
+ "answer": "B",
9
+ "camera_name": "rand_040",
10
+ "camera_position": [
11
+ -0.6982221796026048,
12
+ -0.48935985368237733,
13
+ 0.6542237429482938
14
+ ],
15
+ "camera_look_at": [
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+ -0.6678234898459746,
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+ -0.7646761956407486,
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+ -0.2448160027579367
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+ ],
20
+ "blue": {
21
+ "circle_color": "blue",
22
+ "label": "desk",
23
+ "id": "desk_0",
24
+ "centroid": [
25
+ 0.24273766577243805,
26
+ -0.8438810706138611,
27
+ -0.544677734375
28
+ ],
29
+ "distance_to_camera": 1.564754126433537,
30
+ "width": 1.0358390808105469,
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+ "length": 0.7626953125,
32
+ "height": 0.46533203125
33
+ },
34
+ "red": {
35
+ "circle_color": "red",
36
+ "label": "door",
37
+ "id": "door_0",
38
+ "centroid": [
39
+ -0.7060636281967163,
40
+ -0.8650074005126953,
41
+ -0.242919921875
42
+ ],
43
+ "distance_to_camera": 0.9726455279742258,
44
+ "width": 0.50830078125,
45
+ "length": 0.329345703125,
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+ "height": 1.1650390625
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+ },
48
+ "scene_id": "0071_txt_5a6637e25bc0",
49
+ "layout_path": null,
50
+ "image_path": "question_image_2.jpg"
51
+ }
0071_txt_5a6637e25bc0/tasks/000_closest_object/question_3.json ADDED
@@ -0,0 +1,51 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "closest_object",
3
+ "question": "Consider monitor (blue point) and chair (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. monitor (blue point)",
6
+ "B. chair (red point)"
7
+ ],
8
+ "answer": "B",
9
+ "camera_name": "rand_027",
10
+ "camera_position": [
11
+ -0.6709828422324322,
12
+ 0.14319423337133572,
13
+ -0.13167912312162822
14
+ ],
15
+ "camera_look_at": [
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+ -2.0468184119877413,
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+ 1.7010036727983597,
18
+ -0.41847590145193836
19
+ ],
20
+ "blue": {
21
+ "circle_color": "blue",
22
+ "label": "monitor",
23
+ "id": "monitor_1",
24
+ "centroid": [
25
+ -3.112485647201538,
26
+ 1.4255397319793701,
27
+ -0.08260010555386543
28
+ ],
29
+ "distance_to_camera": 2.758215849863407,
30
+ "width": 0.3053908348083496,
31
+ "length": 0.3532763719558716,
32
+ "height": 0.3819482550024986
33
+ },
34
+ "red": {
35
+ "circle_color": "red",
36
+ "label": "chair",
37
+ "id": "chair_1",
38
+ "centroid": [
39
+ -2.0740864276885986,
40
+ 1.676620364189148,
41
+ -0.39918452128767967
42
+ ],
43
+ "distance_to_camera": 2.095627473632376,
44
+ "width": 0.6529394388198853,
45
+ "length": 0.5281835794448853,
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+ "height": 0.9431346729397774
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+ },
48
+ "scene_id": "0071_txt_5a6637e25bc0",
49
+ "layout_path": null,
50
+ "image_path": "question_image_3.jpg"
51
+ }
0071_txt_5a6637e25bc0/tasks/000_closest_object/question_4.json ADDED
@@ -0,0 +1,51 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "closest_object",
3
+ "question": "Which is closer to the camera, chair (blue point) or monitor (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. chair (blue point)",
6
+ "B. monitor (red point)"
7
+ ],
8
+ "answer": "A",
9
+ "camera_name": "rand_027",
10
+ "camera_position": [
11
+ -0.6709828422324322,
12
+ 0.14319423337133572,
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+ -0.13167912312162822
14
+ ],
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+ "camera_look_at": [
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+ -2.0468184119877413,
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+ 1.7010036727983597,
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+ -0.41847590145193836
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+ ],
20
+ "blue": {
21
+ "circle_color": "blue",
22
+ "label": "chair",
23
+ "id": "chair_1",
24
+ "centroid": [
25
+ -2.0740864276885986,
26
+ 1.676620364189148,
27
+ -0.39918452128767967
28
+ ],
29
+ "distance_to_camera": 2.095627473632376,
30
+ "width": 0.6529394388198853,
31
+ "length": 0.5281835794448853,
32
+ "height": 0.9431346729397774
33
+ },
34
+ "red": {
35
+ "circle_color": "red",
36
+ "label": "monitor",
37
+ "id": "monitor_1",
38
+ "centroid": [
39
+ -3.112485647201538,
40
+ 1.4255397319793701,
41
+ -0.08260010555386543
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+ ],
43
+ "distance_to_camera": 2.758215849863407,
44
+ "width": 0.3053908348083496,
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+ "length": 0.3532763719558716,
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+ "height": 0.3819482550024986
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+ },
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+ "scene_id": "0071_txt_5a6637e25bc0",
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+ "layout_path": null,
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+ "image_path": "question_image_4.jpg"
51
+ }
0071_txt_5a6637e25bc0/tasks/000_closest_object/question_5.json ADDED
@@ -0,0 +1,51 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "closest_object",
3
+ "question": "Determine which object is closer to the camera: door (blue point) or monitor (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. monitor (red point)"
7
+ ],
8
+ "answer": "B",
9
+ "camera_name": "rand_048",
10
+ "camera_position": [
11
+ 0.09274472043828219,
12
+ -0.5870113594328985,
13
+ 0.845768700931016
14
+ ],
15
+ "camera_look_at": [
16
+ 0.7635087705271988,
17
+ -0.30434712594418456,
18
+ -0.1815530283643767
19
+ ],
20
+ "blue": {
21
+ "circle_color": "blue",
22
+ "label": "door",
23
+ "id": "door_1",
24
+ "centroid": [
25
+ 0.4229137897491455,
26
+ 0.8669730424880981,
27
+ -0.2708740234375
28
+ ],
29
+ "distance_to_camera": 1.8627864153585352,
30
+ "width": 0.4912109375,
31
+ "length": 0.320068359375,
32
+ "height": 1.121826171875
33
+ },
34
+ "red": {
35
+ "circle_color": "red",
36
+ "label": "monitor",
37
+ "id": "monitor_0",
38
+ "centroid": [
39
+ 0.648286759853363,
40
+ -1.0358108282089233,
41
+ -0.136962890625
42
+ ],
43
+ "distance_to_camera": 1.214828918726143,
44
+ "width": 0.451416015625,
45
+ "length": 0.16455078125,
46
+ "height": 0.37548828125
47
+ },
48
+ "scene_id": "0071_txt_5a6637e25bc0",
49
+ "layout_path": null,
50
+ "image_path": "question_image_5.jpg"
51
+ }
0071_txt_5a6637e25bc0/tasks/001_depth_estimation/question_0.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 chair (red point)? Calculate or judge based on the 3D center points of these objects. Answer in meters, number only.",
4
+ "answer": "2.52",
5
+ "camera_name": "rand_044",
6
+ "camera_position": [
7
+ -0.4237677025176519,
8
+ -0.11527569328845988,
9
+ 0.26744814554139107
10
+ ],
11
+ "camera_look_at": [
12
+ -2.0571447499122875,
13
+ 1.7527834173259538,
14
+ -0.35569232628641734
15
+ ],
16
+ "object": {
17
+ "label": "chair",
18
+ "id": "chair_1",
19
+ "centroid": [
20
+ -2.0740864276885986,
21
+ 1.676620364189148,
22
+ -0.39918452128767967
23
+ ],
24
+ "depth": 2.52,
25
+ "width": 0.6529394388198853,
26
+ "length": 0.5281835794448853,
27
+ "height": 0.9431346729397774
28
+ },
29
+ "scene_id": "0071_txt_5a6637e25bc0",
30
+ "layout_path": null,
31
+ "image_path": "question_image_0.jpg"
32
+ }
0071_txt_5a6637e25bc0/tasks/001_depth_estimation/question_1.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "depth_estimation",
3
+ "question": "Estimate the depth in meters of the door (red point). Calculate or judge based on the 3D center points of these objects. Respond with only a number.",
4
+ "answer": "1.56",
5
+ "camera_name": "rand_017",
6
+ "camera_position": [
7
+ -0.1062952798826301,
8
+ -0.5158647940830448,
9
+ 0.24763741973545428
10
+ ],
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+ "camera_look_at": [
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+ 0.5088395339058379,
13
+ 0.7687069199899894,
14
+ -0.2760870533976044
15
+ ],
16
+ "object": {
17
+ "label": "door",
18
+ "id": "door_1",
19
+ "centroid": [
20
+ 0.4229137897491455,
21
+ 0.8669730424880981,
22
+ -0.2708740234375
23
+ ],
24
+ "depth": 1.56,
25
+ "width": 0.4912109375,
26
+ "length": 0.320068359375,
27
+ "height": 1.121826171875
28
+ },
29
+ "scene_id": "0071_txt_5a6637e25bc0",
30
+ "layout_path": null,
31
+ "image_path": "question_image_1.jpg"
32
+ }
0071_txt_5a6637e25bc0/tasks/001_depth_estimation/question_10.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": "0.95",
5
+ "camera_name": "rand_031",
6
+ "camera_position": [
7
+ -0.12868719459620592,
8
+ -0.5665146777756117,
9
+ 0.28779551078907084
10
+ ],
11
+ "camera_look_at": [
12
+ 0.24553636860504524,
13
+ -0.7772746745674884,
14
+ -0.5645263732029346
15
+ ],
16
+ "object": {
17
+ "label": "desk",
18
+ "id": "desk_0",
19
+ "centroid": [
20
+ 0.24273766577243805,
21
+ -0.8438810706138611,
22
+ -0.544677734375
23
+ ],
24
+ "depth": 0.95,
25
+ "width": 1.0358390808105469,
26
+ "length": 0.7626953125,
27
+ "height": 0.46533203125
28
+ },
29
+ "scene_id": "0071_txt_5a6637e25bc0",
30
+ "layout_path": null,
31
+ "image_path": "question_image_10.jpg"
32
+ }
0071_txt_5a6637e25bc0/tasks/001_depth_estimation/question_11.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "depth_estimation",
3
+ "question": "Measure the depth to the monitor (red point) in meters. Calculate or judge based on the 3D center points of these objects. Reply with a single number.",
4
+ "answer": "1.18",
5
+ "camera_name": "rand_025",
6
+ "camera_position": [
7
+ -0.151435664338194,
8
+ -0.3246654163739519,
9
+ 0.35081179309249544
10
+ ],
11
+ "camera_look_at": [
12
+ 0.6541097508475294,
13
+ -1.0714995579172815,
14
+ -0.13245537425931075
15
+ ],
16
+ "object": {
17
+ "label": "monitor",
18
+ "id": "monitor_0",
19
+ "centroid": [
20
+ 0.648286759853363,
21
+ -1.0358108282089233,
22
+ -0.136962890625
23
+ ],
24
+ "depth": 1.18,
25
+ "width": 0.451416015625,
26
+ "length": 0.16455078125,
27
+ "height": 0.37548828125
28
+ },
29
+ "scene_id": "0071_txt_5a6637e25bc0",
30
+ "layout_path": null,
31
+ "image_path": "question_image_11.jpg"
32
+ }
0071_txt_5a6637e25bc0/tasks/001_depth_estimation/question_12.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": "1.49",
5
+ "camera_name": "rand_047",
6
+ "camera_position": [
7
+ -0.7007567875028756,
8
+ 0.25424060024968226,
9
+ 0.049719147096012994
10
+ ],
11
+ "camera_look_at": [
12
+ 0.2677483209449434,
13
+ -0.7976829797342518,
14
+ -0.5445151828026396
15
+ ],
16
+ "object": {
17
+ "label": "chair",
18
+ "id": "chair_0",
19
+ "centroid": [
20
+ 0.7998098731040955,
21
+ -0.2963707447052002,
22
+ -0.406005859375
23
+ ],
24
+ "depth": 1.49,
25
+ "width": 0.48583984375,
26
+ "length": 0.46923828125,
27
+ "height": 0.89892578125
28
+ },
29
+ "scene_id": "0071_txt_5a6637e25bc0",
30
+ "layout_path": null,
31
+ "image_path": "question_image_12.jpg"
32
+ }
0071_txt_5a6637e25bc0/tasks/001_depth_estimation/question_13.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "depth_estimation",
3
+ "question": "How far along the depth axis is the chair (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": "rand_031",
6
+ "camera_position": [
7
+ -0.12868719459620592,
8
+ -0.5665146777756117,
9
+ 0.28779551078907084
10
+ ],
11
+ "camera_look_at": [
12
+ 0.24553636860504524,
13
+ -0.7772746745674884,
14
+ -0.5645263732029346
15
+ ],
16
+ "object": {
17
+ "label": "chair",
18
+ "id": "chair_0",
19
+ "centroid": [
20
+ 0.7998098731040955,
21
+ -0.2963707447052002,
22
+ -0.406005859375
23
+ ],
24
+ "depth": 0.92,
25
+ "width": 0.48583984375,
26
+ "length": 0.46923828125,
27
+ "height": 0.89892578125
28
+ },
29
+ "scene_id": "0071_txt_5a6637e25bc0",
30
+ "layout_path": null,
31
+ "image_path": "question_image_13.jpg"
32
+ }
0071_txt_5a6637e25bc0/tasks/001_depth_estimation/question_14.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "depth_estimation",
3
+ "question": "Estimate the depth in meters of the monitor (red point). Calculate or judge based on the 3D center points of these objects. Respond with only a number.",
4
+ "answer": "3.31",
5
+ "camera_name": "view_008",
6
+ "camera_position": [
7
+ -0.0,
8
+ -0.0,
9
+ 0.0
10
+ ],
11
+ "camera_look_at": [
12
+ -8.36516284942627,
13
+ 4.829628944396973,
14
+ -2.5881905555725098
15
+ ],
16
+ "object": {
17
+ "label": "monitor",
18
+ "id": "monitor_1",
19
+ "centroid": [
20
+ -3.112485647201538,
21
+ 1.4255397319793701,
22
+ -0.08260010555386543
23
+ ],
24
+ "depth": 3.31,
25
+ "width": 0.3053908348083496,
26
+ "length": 0.3532763719558716,
27
+ "height": 0.3819482550024986
28
+ },
29
+ "scene_id": "0071_txt_5a6637e25bc0",
30
+ "layout_path": null,
31
+ "image_path": "question_image_14.jpg"
32
+ }
0071_txt_5a6637e25bc0/tasks/001_depth_estimation/question_15.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "depth_estimation",
3
+ "question": "What is the depth of the door (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_033",
6
+ "camera_position": [
7
+ -0.3843075995597664,
8
+ -0.04980654602797585,
9
+ 0.42844504406598194
10
+ ],
11
+ "camera_look_at": [
12
+ -0.7169039797614818,
13
+ -0.8831732728517955,
14
+ -0.23552715882186548
15
+ ],
16
+ "object": {
17
+ "label": "door",
18
+ "id": "door_0",
19
+ "centroid": [
20
+ -0.7060636281967163,
21
+ -0.8650074005126953,
22
+ -0.242919921875
23
+ ],
24
+ "depth": 1.1,
25
+ "width": 0.50830078125,
26
+ "length": 0.329345703125,
27
+ "height": 1.1650390625
28
+ },
29
+ "scene_id": "0071_txt_5a6637e25bc0",
30
+ "layout_path": null,
31
+ "image_path": "question_image_15.jpg"
32
+ }
0071_txt_5a6637e25bc0/tasks/001_depth_estimation/question_2.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "depth_estimation",
3
+ "question": "What is the distance along the camera's viewing direction to the chair (red point)? Calculate or judge based on the 3D center points of these objects. Answer in meters, number only.",
4
+ "answer": "2.93",
5
+ "camera_name": "rand_039",
6
+ "camera_position": [
7
+ -0.4010157107535221,
8
+ -0.5240303890654989,
9
+ 0.5755397997109211
10
+ ],
11
+ "camera_look_at": [
12
+ -2.074322445012074,
13
+ 1.6143570035592911,
14
+ -0.3871126916672103
15
+ ],
16
+ "object": {
17
+ "label": "chair",
18
+ "id": "chair_1",
19
+ "centroid": [
20
+ -2.0740864276885986,
21
+ 1.676620364189148,
22
+ -0.39918452128767967
23
+ ],
24
+ "depth": 2.93,
25
+ "width": 0.6529394388198853,
26
+ "length": 0.5281835794448853,
27
+ "height": 0.9431346729397774
28
+ },
29
+ "scene_id": "0071_txt_5a6637e25bc0",
30
+ "layout_path": null,
31
+ "image_path": "question_image_2.jpg"
32
+ }
0071_txt_5a6637e25bc0/tasks/001_depth_estimation/question_3.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "depth_estimation",
3
+ "question": "What depth value in meters corresponds to the desk (red point)? Calculate or judge based on the 3D center points of these objects. Answer with a number only.",
4
+ "answer": "0.84",
5
+ "camera_name": "rand_002",
6
+ "camera_position": [
7
+ -0.47438178152168325,
8
+ -0.24563483947308293,
9
+ -0.1251288926883164
10
+ ],
11
+ "camera_look_at": [
12
+ 0.6688126019931527,
13
+ -0.32671528111517534,
14
+ -0.4243220603019199
15
+ ],
16
+ "object": {
17
+ "label": "desk",
18
+ "id": "desk_0",
19
+ "centroid": [
20
+ 0.24273766577243805,
21
+ -0.8438810706138611,
22
+ -0.544677734375
23
+ ],
24
+ "depth": 0.84,
25
+ "width": 1.0358390808105469,
26
+ "length": 0.7626953125,
27
+ "height": 0.46533203125
28
+ },
29
+ "scene_id": "0071_txt_5a6637e25bc0",
30
+ "layout_path": null,
31
+ "image_path": "question_image_3.jpg"
32
+ }
0071_txt_5a6637e25bc0/tasks/001_depth_estimation/question_4.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": "2.79",
5
+ "camera_name": "rand_039",
6
+ "camera_position": [
7
+ -0.4010157107535221,
8
+ -0.5240303890654989,
9
+ 0.5755397997109211
10
+ ],
11
+ "camera_look_at": [
12
+ -2.074322445012074,
13
+ 1.6143570035592911,
14
+ -0.3871126916672103
15
+ ],
16
+ "object": {
17
+ "label": "desk",
18
+ "id": "desk_1",
19
+ "centroid": [
20
+ -2.640434741973877,
21
+ 1.031650185585022,
22
+ -0.4380861520767212
23
+ ],
24
+ "depth": 2.79,
25
+ "width": 0.610234260559082,
26
+ "length": 1.3287599682807922,
27
+ "height": 0.3268558979034424
28
+ },
29
+ "scene_id": "0071_txt_5a6637e25bc0",
30
+ "layout_path": null,
31
+ "image_path": "question_image_4.jpg"
32
+ }
0071_txt_5a6637e25bc0/tasks/001_depth_estimation/question_5.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "depth_estimation",
3
+ "question": "Estimate the depth in meters of the door (red point). Calculate or judge based on the 3D center points of these objects. Respond with only a number.",
4
+ "answer": "1.41",
5
+ "camera_name": "rand_048",
6
+ "camera_position": [
7
+ 0.09274472043828219,
8
+ -0.5870113594328985,
9
+ 0.845768700931016
10
+ ],
11
+ "camera_look_at": [
12
+ 0.7635087705271988,
13
+ -0.30434712594418456,
14
+ -0.1815530283643767
15
+ ],
16
+ "object": {
17
+ "label": "door",
18
+ "id": "door_1",
19
+ "centroid": [
20
+ 0.4229137897491455,
21
+ 0.8669730424880981,
22
+ -0.2708740234375
23
+ ],
24
+ "depth": 1.41,
25
+ "width": 0.4912109375,
26
+ "length": 0.320068359375,
27
+ "height": 1.121826171875
28
+ },
29
+ "scene_id": "0071_txt_5a6637e25bc0",
30
+ "layout_path": null,
31
+ "image_path": "question_image_5.jpg"
32
+ }
0071_txt_5a6637e25bc0/tasks/001_depth_estimation/question_6.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "depth_estimation",
3
+ "question": "Estimate the depth in meters of the desk (red point). Calculate or judge based on the 3D center points of these objects. Respond with only a number.",
4
+ "answer": "2.38",
5
+ "camera_name": "rand_006",
6
+ "camera_position": [
7
+ -0.4162612683813208,
8
+ -0.06445355689216434,
9
+ -0.05047252762469745
10
+ ],
11
+ "camera_look_at": [
12
+ -2.0736146150846286,
13
+ 1.591076297592942,
14
+ -0.40813318270265925
15
+ ],
16
+ "object": {
17
+ "label": "desk",
18
+ "id": "desk_1",
19
+ "centroid": [
20
+ -2.640434741973877,
21
+ 1.031650185585022,
22
+ -0.4380861520767212
23
+ ],
24
+ "depth": 2.38,
25
+ "width": 0.610234260559082,
26
+ "length": 1.3287599682807922,
27
+ "height": 0.3268558979034424
28
+ },
29
+ "scene_id": "0071_txt_5a6637e25bc0",
30
+ "layout_path": null,
31
+ "image_path": "question_image_6.jpg"
32
+ }
0071_txt_5a6637e25bc0/tasks/001_depth_estimation/question_7.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "depth_estimation",
3
+ "question": "What depth value in meters corresponds to the door (red point)? Calculate or judge based on the 3D center points of these objects. Answer with a number only.",
4
+ "answer": "0.79",
5
+ "camera_name": "rand_005",
6
+ "camera_position": [
7
+ -0.7272012977866162,
8
+ -0.3561710380554586,
9
+ 0.3642507506027193
10
+ ],
11
+ "camera_look_at": [
12
+ -0.7344052699374014,
13
+ -0.861398829629227,
14
+ -0.28263306952764733
15
+ ],
16
+ "object": {
17
+ "label": "door",
18
+ "id": "door_0",
19
+ "centroid": [
20
+ -0.7060636281967163,
21
+ -0.8650074005126953,
22
+ -0.242919921875
23
+ ],
24
+ "depth": 0.79,
25
+ "width": 0.50830078125,
26
+ "length": 0.329345703125,
27
+ "height": 1.1650390625
28
+ },
29
+ "scene_id": "0071_txt_5a6637e25bc0",
30
+ "layout_path": null,
31
+ "image_path": "question_image_7.jpg"
32
+ }
0071_txt_5a6637e25bc0/tasks/001_depth_estimation/question_8.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "depth_estimation",
3
+ "question": "Estimate the depth in meters of the monitor (red point). Calculate or judge based on the 3D center points of these objects. Respond with only a number.",
4
+ "answer": "3.04",
5
+ "camera_name": "rand_043",
6
+ "camera_position": [
7
+ -0.5128187459593365,
8
+ -0.4626580708777699,
9
+ 0.22898440535342202
10
+ ],
11
+ "camera_look_at": [
12
+ -2.081477161595982,
13
+ 1.7119018758391138,
14
+ -0.3889847056765251
15
+ ],
16
+ "object": {
17
+ "label": "monitor",
18
+ "id": "monitor_1",
19
+ "centroid": [
20
+ -3.112485647201538,
21
+ 1.4255397319793701,
22
+ -0.08260010555386543
23
+ ],
24
+ "depth": 3.04,
25
+ "width": 0.3053908348083496,
26
+ "length": 0.3532763719558716,
27
+ "height": 0.3819482550024986
28
+ },
29
+ "scene_id": "0071_txt_5a6637e25bc0",
30
+ "layout_path": null,
31
+ "image_path": "question_image_8.jpg"
32
+ }
0071_txt_5a6637e25bc0/tasks/001_depth_estimation/question_9.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "depth_estimation",
3
+ "question": "Calculate the depth of the monitor (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": "1.48",
5
+ "camera_name": "rand_057",
6
+ "camera_position": [
7
+ -0.4173751128899412,
8
+ -0.2635968158718732,
9
+ 0.8736070856195484
10
+ ],
11
+ "camera_look_at": [
12
+ 0.7868496223622503,
13
+ -0.29531586268130505,
14
+ -0.12993187547865737
15
+ ],
16
+ "object": {
17
+ "label": "monitor",
18
+ "id": "monitor_0",
19
+ "centroid": [
20
+ 0.648286759853363,
21
+ -1.0358108282089233,
22
+ -0.136962890625
23
+ ],
24
+ "depth": 1.48,
25
+ "width": 0.451416015625,
26
+ "length": 0.16455078125,
27
+ "height": 0.37548828125
28
+ },
29
+ "scene_id": "0071_txt_5a6637e25bc0",
30
+ "layout_path": null,
31
+ "image_path": "question_image_9.jpg"
32
+ }
0071_txt_5a6637e25bc0/tasks/002_distance_estimation/question_0.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "distance_estimation",
3
+ "question": "Measure the distance from the camera position to the monitor (red point). Calculate or judge based on the 3D center points of these objects. Answer in meters, number only.",
4
+ "answer": "1.59",
5
+ "camera_name": "rand_014",
6
+ "camera_position": [
7
+ -0.5150103733484132,
8
+ 0.02209537099279793,
9
+ 0.10770857773035303
10
+ ],
11
+ "camera_look_at": [
12
+ 0.8751401132559511,
13
+ -0.36634472643622795,
14
+ -0.41400278582070427
15
+ ],
16
+ "object": {
17
+ "label": "monitor",
18
+ "id": "monitor_0",
19
+ "centroid": [
20
+ 0.648286759853363,
21
+ -1.0358108282089233,
22
+ -0.136962890625
23
+ ],
24
+ "distance": 1.5913170249362847,
25
+ "width": 0.451416015625,
26
+ "length": 0.16455078125,
27
+ "height": 0.37548828125
28
+ },
29
+ "scene_id": "0071_txt_5a6637e25bc0",
30
+ "layout_path": null,
31
+ "image_path": "question_image_0.jpg"
32
+ }
0071_txt_5a6637e25bc0/tasks/002_distance_estimation/question_1.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "distance_estimation",
3
+ "question": "How many meters is the desk (red point) from the image capture point? Calculate or judge based on the 3D center points of these objects. Provide only the numerical value.",
4
+ "answer": "1.67",
5
+ "camera_name": "rand_057",
6
+ "camera_position": [
7
+ -0.4173751128899412,
8
+ -0.2635968158718732,
9
+ 0.8736070856195484
10
+ ],
11
+ "camera_look_at": [
12
+ 0.7868496223622503,
13
+ -0.29531586268130505,
14
+ -0.12993187547865737
15
+ ],
16
+ "object": {
17
+ "label": "desk",
18
+ "id": "desk_0",
19
+ "centroid": [
20
+ 0.24273766577243805,
21
+ -0.8438810706138611,
22
+ -0.544677734375
23
+ ],
24
+ "distance": 1.668535443879392,
25
+ "width": 1.0358390808105469,
26
+ "length": 0.7626953125,
27
+ "height": 0.46533203125
28
+ },
29
+ "scene_id": "0071_txt_5a6637e25bc0",
30
+ "layout_path": null,
31
+ "image_path": "question_image_1.jpg"
32
+ }
0071_txt_5a6637e25bc0/tasks/002_distance_estimation/question_10.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "distance_estimation",
3
+ "question": "Report the distance in meters from the camera to the desk (red point). Calculate or judge based on the 3D center points of these objects. State a single number.",
4
+ "answer": "2.77",
5
+ "camera_name": "rand_011",
6
+ "camera_position": [
7
+ -0.3460520899256202,
8
+ -0.4832438841162584,
9
+ -0.07170977144109203
10
+ ],
11
+ "camera_look_at": [
12
+ -2.1217220265306858,
13
+ 1.6986528712046798,
14
+ -0.4308155685299452
15
+ ],
16
+ "object": {
17
+ "label": "desk",
18
+ "id": "desk_1",
19
+ "centroid": [
20
+ -2.640434741973877,
21
+ 1.031650185585022,
22
+ -0.4380861520767212
23
+ ],
24
+ "distance": 2.7736848142360664,
25
+ "width": 0.610234260559082,
26
+ "length": 1.3287599682807922,
27
+ "height": 0.3268558979034424
28
+ },
29
+ "scene_id": "0071_txt_5a6637e25bc0",
30
+ "layout_path": null,
31
+ "image_path": "question_image_10.jpg"
32
+ }
0071_txt_5a6637e25bc0/tasks/002_distance_estimation/question_11.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "distance_estimation",
3
+ "question": "What is the total distance in meters from the person who captured the image to the center of desk (red point)? Calculate or judge based on the 3D center points of these objects. Answer using a single number and nothing else.",
4
+ "answer": "3.07",
5
+ "camera_name": "rand_037",
6
+ "camera_position": [
7
+ -0.0010237171873302975,
8
+ -0.5196452176691962,
9
+ -0.16531133903008188
10
+ ],
11
+ "camera_look_at": [
12
+ -1.9997334514082559,
13
+ 1.7056561256363143,
14
+ -0.4008069140583484
15
+ ],
16
+ "object": {
17
+ "label": "desk",
18
+ "id": "desk_1",
19
+ "centroid": [
20
+ -2.640434741973877,
21
+ 1.031650185585022,
22
+ -0.4380861520767212
23
+ ],
24
+ "distance": 3.0736646018319993,
25
+ "width": 0.610234260559082,
26
+ "length": 1.3287599682807922,
27
+ "height": 0.3268558979034424
28
+ },
29
+ "scene_id": "0071_txt_5a6637e25bc0",
30
+ "layout_path": null,
31
+ "image_path": "question_image_11.jpg"
32
+ }
0071_txt_5a6637e25bc0/tasks/002_distance_estimation/question_12.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "distance_estimation",
3
+ "question": "What is the total distance in meters from the person who captured the image to the center of monitor (red point)? Calculate or judge based on the 3D center points of these objects. Answer using a single number and nothing else.",
4
+ "answer": "3.69",
5
+ "camera_name": "rand_020",
6
+ "camera_position": [
7
+ -0.15992373773809287,
8
+ -0.5839798151486324,
9
+ 0.8411696235487007
10
+ ],
11
+ "camera_look_at": [
12
+ -2.004528546566685,
13
+ 1.7375819838710775,
14
+ -0.14949784422465417
15
+ ],
16
+ "object": {
17
+ "label": "monitor",
18
+ "id": "monitor_1",
19
+ "centroid": [
20
+ -3.112485647201538,
21
+ 1.4255397319793701,
22
+ -0.08260010555386543
23
+ ],
24
+ "distance": 3.689056946146289,
25
+ "width": 0.3053908348083496,
26
+ "length": 0.3532763719558716,
27
+ "height": 0.3819482550024986
28
+ },
29
+ "scene_id": "0071_txt_5a6637e25bc0",
30
+ "layout_path": null,
31
+ "image_path": "question_image_12.jpg"
32
+ }
0071_txt_5a6637e25bc0/tasks/002_distance_estimation/question_14.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "distance_estimation",
3
+ "question": "What is the total distance in meters from the person who captured the image to the center of desk (red point)? Calculate or judge based on the 3D center points of these objects. Answer using a single number and nothing else.",
4
+ "answer": "0.95",
5
+ "camera_name": "rand_031",
6
+ "camera_position": [
7
+ -0.12868719459620592,
8
+ -0.5665146777756117,
9
+ 0.28779551078907084
10
+ ],
11
+ "camera_look_at": [
12
+ 0.24553636860504524,
13
+ -0.7772746745674884,
14
+ -0.5645263732029346
15
+ ],
16
+ "object": {
17
+ "label": "desk",
18
+ "id": "desk_0",
19
+ "centroid": [
20
+ 0.24273766577243805,
21
+ -0.8438810706138611,
22
+ -0.544677734375
23
+ ],
24
+ "distance": 0.9528379960360355,
25
+ "width": 1.0358390808105469,
26
+ "length": 0.7626953125,
27
+ "height": 0.46533203125
28
+ },
29
+ "scene_id": "0071_txt_5a6637e25bc0",
30
+ "layout_path": null,
31
+ "image_path": "question_image_14.jpg"
32
+ }
0071_txt_5a6637e25bc0/tasks/002_distance_estimation/question_15.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "distance_estimation",
3
+ "question": "How far is the monitor (red point) from the camera in meters? Calculate or judge based on the 3D center points of these objects. Answer with a single number.",
4
+ "answer": "3.42",
5
+ "camera_name": "view_008",
6
+ "camera_position": [
7
+ -0.0,
8
+ -0.0,
9
+ 0.0
10
+ ],
11
+ "camera_look_at": [
12
+ -8.36516284942627,
13
+ 4.829628944396973,
14
+ -2.5881905555725098
15
+ ],
16
+ "object": {
17
+ "label": "monitor",
18
+ "id": "monitor_1",
19
+ "centroid": [
20
+ -3.112485647201538,
21
+ 1.4255397319793701,
22
+ -0.08260010555386543
23
+ ],
24
+ "distance": 3.4244055263541586,
25
+ "width": 0.3053908348083496,
26
+ "length": 0.3532763719558716,
27
+ "height": 0.3819482550024986
28
+ },
29
+ "scene_id": "0071_txt_5a6637e25bc0",
30
+ "layout_path": null,
31
+ "image_path": "question_image_15.jpg"
32
+ }
0071_txt_5a6637e25bc0/tasks/002_distance_estimation/question_2.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "distance_estimation",
3
+ "question": "What is the straight-line distance from the camera to the chair (red point) in meters? Calculate or judge based on the 3D center points of these objects. Give a numerical answer.",
4
+ "answer": "2.43",
5
+ "camera_name": "rand_006",
6
+ "camera_position": [
7
+ -0.4162612683813208,
8
+ -0.06445355689216434,
9
+ -0.05047252762469745
10
+ ],
11
+ "camera_look_at": [
12
+ -2.0736146150846286,
13
+ 1.591076297592942,
14
+ -0.40813318270265925
15
+ ],
16
+ "object": {
17
+ "label": "chair",
18
+ "id": "chair_1",
19
+ "centroid": [
20
+ -2.0740864276885986,
21
+ 1.676620364189148,
22
+ -0.39918452128767967
23
+ ],
24
+ "distance": 2.429263821001348,
25
+ "width": 0.6529394388198853,
26
+ "length": 0.5281835794448853,
27
+ "height": 0.9431346729397774
28
+ },
29
+ "scene_id": "0071_txt_5a6637e25bc0",
30
+ "layout_path": null,
31
+ "image_path": "question_image_2.jpg"
32
+ }
0071_txt_5a6637e25bc0/tasks/002_distance_estimation/question_4.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "distance_estimation",
3
+ "question": "What is the total distance in meters from the person who captured the image to the center of door (red point)? Calculate or judge based on the 3D center points of these objects. Answer using a single number and nothing else.",
4
+ "answer": "1.29",
5
+ "camera_name": "rand_036",
6
+ "camera_position": [
7
+ -0.5945175188486782,
8
+ 0.09715289299979155,
9
+ 0.6018772770745471
10
+ ],
11
+ "camera_look_at": [
12
+ -0.6796741808540712,
13
+ -0.8815938716058933,
14
+ -0.2661785962511629
15
+ ],
16
+ "object": {
17
+ "label": "door",
18
+ "id": "door_0",
19
+ "centroid": [
20
+ -0.7060636281967163,
21
+ -0.8650074005126953,
22
+ -0.242919921875
23
+ ],
24
+ "distance": 1.2852537773823969,
25
+ "width": 0.50830078125,
26
+ "length": 0.329345703125,
27
+ "height": 1.1650390625
28
+ },
29
+ "scene_id": "0071_txt_5a6637e25bc0",
30
+ "layout_path": null,
31
+ "image_path": "question_image_4.jpg"
32
+ }
0071_txt_5a6637e25bc0/tasks/002_distance_estimation/question_6.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "distance_estimation",
3
+ "question": "Estimate the 3D distance in meters between the camera and the door (red point). Calculate or judge based on the 3D center points of these objects. Respond with only a number.",
4
+ "answer": "0.79",
5
+ "camera_name": "rand_005",
6
+ "camera_position": [
7
+ -0.7272012977866162,
8
+ -0.3561710380554586,
9
+ 0.3642507506027193
10
+ ],
11
+ "camera_look_at": [
12
+ -0.7344052699374014,
13
+ -0.861398829629227,
14
+ -0.28263306952764733
15
+ ],
16
+ "object": {
17
+ "label": "door",
18
+ "id": "door_0",
19
+ "centroid": [
20
+ -0.7060636281967163,
21
+ -0.8650074005126953,
22
+ -0.242919921875
23
+ ],
24
+ "distance": 0.7924755329670753,
25
+ "width": 0.50830078125,
26
+ "length": 0.329345703125,
27
+ "height": 1.1650390625
28
+ },
29
+ "scene_id": "0071_txt_5a6637e25bc0",
30
+ "layout_path": null,
31
+ "image_path": "question_image_6.jpg"
32
+ }
0071_txt_5a6637e25bc0/tasks/002_distance_estimation/question_7.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "distance_estimation",
3
+ "question": "Calculate the Euclidean distance in meters from the viewpoint to the monitor (red point). Calculate or judge based on the 3D center points of these objects. Answer with a number only.",
4
+ "answer": "1.83",
5
+ "camera_name": "rand_053",
6
+ "camera_position": [
7
+ -0.6766908918482293,
8
+ 0.22599976335707647,
9
+ -0.13140477539334572
10
+ ],
11
+ "camera_look_at": [
12
+ 0.7744785978366222,
13
+ -0.20404836938142484,
14
+ -0.363921938876271
15
+ ],
16
+ "object": {
17
+ "label": "monitor",
18
+ "id": "monitor_0",
19
+ "centroid": [
20
+ 0.648286759853363,
21
+ -1.0358108282089233,
22
+ -0.136962890625
23
+ ],
24
+ "distance": 1.8296892192778895,
25
+ "width": 0.451416015625,
26
+ "length": 0.16455078125,
27
+ "height": 0.37548828125
28
+ },
29
+ "scene_id": "0071_txt_5a6637e25bc0",
30
+ "layout_path": null,
31
+ "image_path": "question_image_7.jpg"
32
+ }
0071_txt_5a6637e25bc0/tasks/002_distance_estimation/question_9.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "distance_estimation",
3
+ "question": "Report the distance in meters from the camera to the chair (red point). Calculate or judge based on the 3D center points of these objects. State a single number.",
4
+ "answer": "0.94",
5
+ "camera_name": "view_003",
6
+ "camera_position": [
7
+ -0.0,
8
+ -0.0,
9
+ 0.0
10
+ ],
11
+ "camera_look_at": [
12
+ 9.659257888793945,
13
+ -5.914589666286812e-16,
14
+ -2.5881905555725098
15
+ ],
16
+ "object": {
17
+ "label": "chair",
18
+ "id": "chair_0",
19
+ "centroid": [
20
+ 0.7998098731040955,
21
+ -0.2963707447052002,
22
+ -0.406005859375
23
+ ],
24
+ "distance": 0.9446545449415551,
25
+ "width": 0.48583984375,
26
+ "length": 0.46923828125,
27
+ "height": 0.89892578125
28
+ },
29
+ "scene_id": "0071_txt_5a6637e25bc0",
30
+ "layout_path": null,
31
+ "image_path": "question_image_9.jpg"
32
+ }
0071_txt_5a6637e25bc0/tasks/006_depth_ordering/question_0.json ADDED
@@ -0,0 +1,72 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "depth_ordering",
3
+ "question": "From nearest to most distant, what is the correct ordering of blue point, red point, and green point?",
4
+ "choices": [
5
+ "A. red, green, blue",
6
+ "B. green, red, blue",
7
+ "C. blue, green, red",
8
+ "D. blue, red, green"
9
+ ],
10
+ "answer": "C",
11
+ "camera_name": "rand_041",
12
+ "camera_position": [
13
+ -0.1591310379925589,
14
+ -0.4469458395664535,
15
+ 0.8457831513220462
16
+ ],
17
+ "camera_look_at": [
18
+ 0.19860972288215228,
19
+ -0.8424151767542464,
20
+ -0.15949228205223998
21
+ ],
22
+ "objects": [
23
+ {
24
+ "circle_color": "blue",
25
+ "label": "door",
26
+ "id": "door_0",
27
+ "centroid": [
28
+ -0.7060636281967163,
29
+ -0.8650074005126953,
30
+ -0.242919921875
31
+ ],
32
+ "distance_to_camera": 1.288093594641682,
33
+ "width": 0.50830078125,
34
+ "length": 0.329345703125,
35
+ "height": 1.1650390625,
36
+ "depth": 0.94
37
+ },
38
+ {
39
+ "circle_color": "red",
40
+ "label": "chair",
41
+ "id": "chair_0",
42
+ "centroid": [
43
+ 0.7998098731040955,
44
+ -0.2963707447052002,
45
+ -0.406005859375
46
+ ],
47
+ "distance_to_camera": 1.5840505855146314,
48
+ "width": 0.48583984375,
49
+ "length": 0.46923828125,
50
+ "height": 0.89892578125,
51
+ "depth": 1.35
52
+ },
53
+ {
54
+ "circle_color": "green",
55
+ "label": "monitor",
56
+ "id": "monitor_0",
57
+ "centroid": [
58
+ 0.648286759853363,
59
+ -1.0358108282089233,
60
+ -0.136962890625
61
+ ],
62
+ "distance_to_camera": 1.4015973951494916,
63
+ "width": 0.451416015625,
64
+ "length": 0.16455078125,
65
+ "height": 0.37548828125,
66
+ "depth": 1.33
67
+ }
68
+ ],
69
+ "scene_id": "0071_txt_5a6637e25bc0",
70
+ "layout_path": null,
71
+ "image_path": "question_image_0.jpg"
72
+ }
0071_txt_5a6637e25bc0/tasks/006_depth_ordering/question_1.json ADDED
@@ -0,0 +1,72 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "depth_ordering",
3
+ "question": "Place blue point, red point, and green point in sequence from the one closest to the camera to the farthest.",
4
+ "choices": [
5
+ "A. green, blue, red",
6
+ "B. blue, red, green",
7
+ "C. green, red, blue",
8
+ "D. red, green, blue"
9
+ ],
10
+ "answer": "A",
11
+ "camera_name": "view_001",
12
+ "camera_position": [
13
+ -0.0,
14
+ -0.0,
15
+ 0.0
16
+ ],
17
+ "camera_look_at": [
18
+ 4.829628944396973,
19
+ -8.36516284942627,
20
+ -2.5881905555725098
21
+ ],
22
+ "objects": [
23
+ {
24
+ "circle_color": "blue",
25
+ "label": "desk",
26
+ "id": "desk_0",
27
+ "centroid": [
28
+ 0.24273766577243805,
29
+ -0.8438810706138611,
30
+ -0.544677734375
31
+ ],
32
+ "distance_to_camera": 1.0333105390195783,
33
+ "width": 1.0358390808105469,
34
+ "length": 0.7626953125,
35
+ "height": 0.46533203125,
36
+ "depth": 0.96
37
+ },
38
+ {
39
+ "circle_color": "red",
40
+ "label": "monitor",
41
+ "id": "monitor_0",
42
+ "centroid": [
43
+ 0.648286759853363,
44
+ -1.0358108282089233,
45
+ -0.136962890625
46
+ ],
47
+ "distance_to_camera": 1.229609136369921,
48
+ "width": 0.451416015625,
49
+ "length": 0.16455078125,
50
+ "height": 0.37548828125,
51
+ "depth": 1.22
52
+ },
53
+ {
54
+ "circle_color": "green",
55
+ "label": "chair",
56
+ "id": "chair_0",
57
+ "centroid": [
58
+ 0.7998098731040955,
59
+ -0.2963707447052002,
60
+ -0.406005859375
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0071_txt_5a6637e25bc0/tasks/006_depth_ordering/question_13.json ADDED
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0071_txt_5a6637e25bc0/tasks/006_depth_ordering/question_14.json ADDED
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0071_txt_5a6637e25bc0/tasks/006_depth_ordering/question_15.json ADDED
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+ }
0071_txt_5a6637e25bc0/tasks/006_depth_ordering/question_16.json ADDED
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1
+ {
2
+ "type": "depth_ordering",
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+ "question": "Which ordering correctly places blue point, red point, and green point from nearest to farthest?",
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+ "choices": [
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+ "A. red, green, blue",
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+ "answer": "D",
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+ }
0071_txt_5a6637e25bc0/tasks/006_depth_ordering/question_17.json ADDED
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1
+ {
2
+ "type": "depth_ordering",
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+ "question": "List the three marked objects in order of increasing distance from the viewpoint: blue, red, green.",
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+ "choices": [
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+ "A. blue, red, green",
6
+ "B. green, blue, red",
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+ "C. blue, green, red",
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+ "D. green, red, blue"
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+ ],
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+ "answer": "A",
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