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Add files using upload-large-folder tool

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  1. .gitattributes +7 -0
  2. 0224_txt_b4ff8b53cd9f/meta/.cache_manifest.json +7 -0
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  11. 0224_txt_b4ff8b53cd9f/tasks/000_closest_object/question_1.json +51 -0
  12. 0224_txt_b4ff8b53cd9f/tasks/000_closest_object/question_2.json +51 -0
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  14. 0224_txt_b4ff8b53cd9f/tasks/001_depth_estimation/question_0.json +32 -0
  15. 0224_txt_b4ff8b53cd9f/tasks/001_depth_estimation/question_1.json +32 -0
  16. 0224_txt_b4ff8b53cd9f/tasks/001_depth_estimation/question_2.json +32 -0
  17. 0224_txt_b4ff8b53cd9f/tasks/001_depth_estimation/question_3.json +32 -0
  18. 0224_txt_b4ff8b53cd9f/tasks/001_depth_estimation/question_4.json +32 -0
  19. 0224_txt_b4ff8b53cd9f/tasks/001_depth_estimation/question_5.json +32 -0
  20. 0224_txt_b4ff8b53cd9f/tasks/001_depth_estimation/question_6.json +32 -0
  21. 0224_txt_b4ff8b53cd9f/tasks/001_depth_estimation/question_7.json +32 -0
  22. 0224_txt_b4ff8b53cd9f/tasks/001_depth_estimation/question_8.json +32 -0
  23. 0224_txt_b4ff8b53cd9f/tasks/001_depth_estimation/question_9.json +32 -0
  24. 0224_txt_b4ff8b53cd9f/tasks/002_distance_estimation/question_0.json +32 -0
  25. 0224_txt_b4ff8b53cd9f/tasks/002_distance_estimation/question_1.json +32 -0
  26. 0224_txt_b4ff8b53cd9f/tasks/002_distance_estimation/question_2.json +32 -0
  27. 0224_txt_b4ff8b53cd9f/tasks/002_distance_estimation/question_3.json +32 -0
  28. 0224_txt_b4ff8b53cd9f/tasks/002_distance_estimation/question_4.json +32 -0
  29. 0224_txt_b4ff8b53cd9f/tasks/002_distance_estimation/question_5.json +32 -0
  30. 0224_txt_b4ff8b53cd9f/tasks/002_distance_estimation/question_6.json +32 -0
  31. 0224_txt_b4ff8b53cd9f/tasks/002_distance_estimation/question_7.json +32 -0
  32. 0224_txt_b4ff8b53cd9f/tasks/002_distance_estimation/question_8.json +32 -0
  33. 0224_txt_b4ff8b53cd9f/tasks/002_distance_estimation/question_9.json +32 -0
  34. 0224_txt_b4ff8b53cd9f/tasks/003_object_distance/question_0.json +47 -0
  35. 0224_txt_b4ff8b53cd9f/tasks/003_object_distance/question_1.json +47 -0
  36. 0224_txt_b4ff8b53cd9f/tasks/003_object_distance/question_2.json +47 -0
  37. 0224_txt_b4ff8b53cd9f/tasks/005_camera_object_position/question_0.json +39 -0
  38. 0224_txt_b4ff8b53cd9f/tasks/005_camera_object_position/question_1.json +39 -0
  39. 0224_txt_b4ff8b53cd9f/tasks/005_camera_object_position/question_2.json +39 -0
  40. 0224_txt_b4ff8b53cd9f/tasks/005_camera_object_position/question_3.json +39 -0
  41. 0224_txt_b4ff8b53cd9f/tasks/005_camera_object_position/question_4.json +39 -0
  42. 0224_txt_b4ff8b53cd9f/tasks/005_camera_object_position/question_5.json +39 -0
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  45. 0224_txt_b4ff8b53cd9f/tasks/006_depth_ordering/question_10.json +72 -0
  46. 0224_txt_b4ff8b53cd9f/tasks/006_depth_ordering/question_11.json +72 -0
  47. 0224_txt_b4ff8b53cd9f/tasks/006_depth_ordering/question_12.json +72 -0
  48. 0224_txt_b4ff8b53cd9f/tasks/006_depth_ordering/question_13.json +72 -0
  49. 0224_txt_b4ff8b53cd9f/tasks/006_depth_ordering/question_14.json +72 -0
  50. 0224_txt_b4ff8b53cd9f/tasks/006_depth_ordering/question_15.json +72 -0
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+ }
0224_txt_b4ff8b53cd9f/tasks/000_closest_object/question_0.json ADDED
@@ -0,0 +1,51 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "closest_object",
3
+ "question": "Which of the following is nearer to the camera \u2014 table (blue point) or armchair (red point)? Calculate or judge based on the 3D center points of these objects. Select the correct choice.",
4
+ "choices": [
5
+ "A. table (blue point)",
6
+ "B. armchair (red point)"
7
+ ],
8
+ "answer": "A",
9
+ "camera_name": "rand_011",
10
+ "camera_position": [
11
+ 0.21618858518539094,
12
+ 0.7813858133728087,
13
+ 0.7397297036156243
14
+ ],
15
+ "camera_look_at": [
16
+ -2.36960632206276,
17
+ -1.1807681684408249,
18
+ -0.2580443867849709
19
+ ],
20
+ "blue": {
21
+ "circle_color": "blue",
22
+ "label": "table",
23
+ "id": "table_0",
24
+ "centroid": [
25
+ -0.26236143708229065,
26
+ -1.3929784297943115,
27
+ -0.56494140625
28
+ ],
29
+ "distance_to_camera": 2.580510935976463,
30
+ "width": 0.29248046875,
31
+ "length": 0.2682032585144043,
32
+ "height": 0.46435546875
33
+ },
34
+ "red": {
35
+ "circle_color": "red",
36
+ "label": "armchair",
37
+ "id": "armchair_1",
38
+ "centroid": [
39
+ -2.384279727935791,
40
+ -1.1442111730575562,
41
+ -0.524472713470459
42
+ ],
43
+ "distance_to_camera": 3.4739843052413644,
44
+ "width": 0.8081159591674805,
45
+ "length": 0.6546582579612732,
46
+ "height": 0.48839855194091797
47
+ },
48
+ "scene_id": "0224_txt_b4ff8b53cd9f",
49
+ "layout_path": null,
50
+ "image_path": "question_image_0.jpg"
51
+ }
0224_txt_b4ff8b53cd9f/tasks/000_closest_object/question_1.json ADDED
@@ -0,0 +1,51 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "closest_object",
3
+ "question": "Of armchair (blue point) and table (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. armchair (blue point)",
6
+ "B. table (red point)"
7
+ ],
8
+ "answer": "B",
9
+ "camera_name": "view_011",
10
+ "camera_position": [
11
+ -0.0,
12
+ -0.0,
13
+ 0.0
14
+ ],
15
+ "camera_look_at": [
16
+ -4.829628944396973,
17
+ -8.36516284942627,
18
+ -2.5881905555725098
19
+ ],
20
+ "blue": {
21
+ "circle_color": "blue",
22
+ "label": "armchair",
23
+ "id": "armchair_1",
24
+ "centroid": [
25
+ -2.384279727935791,
26
+ -1.1442111730575562,
27
+ -0.524472713470459
28
+ ],
29
+ "distance_to_camera": 2.696123264387291,
30
+ "width": 0.8081159591674805,
31
+ "length": 0.6546582579612732,
32
+ "height": 0.48839855194091797
33
+ },
34
+ "red": {
35
+ "circle_color": "red",
36
+ "label": "table",
37
+ "id": "table_0",
38
+ "centroid": [
39
+ -0.26236143708229065,
40
+ -1.3929784297943115,
41
+ -0.56494140625
42
+ ],
43
+ "distance_to_camera": 1.5259034117649248,
44
+ "width": 0.29248046875,
45
+ "length": 0.2682032585144043,
46
+ "height": 0.46435546875
47
+ },
48
+ "scene_id": "0224_txt_b4ff8b53cd9f",
49
+ "layout_path": null,
50
+ "image_path": "question_image_1.jpg"
51
+ }
0224_txt_b4ff8b53cd9f/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, armchair (blue point) or plant (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. armchair (blue point)",
6
+ "B. plant (red point)"
7
+ ],
8
+ "answer": "B",
9
+ "camera_name": "rand_062",
10
+ "camera_position": [
11
+ 0.3584645533043048,
12
+ 1.0553436254450452,
13
+ 0.673315117092675
14
+ ],
15
+ "camera_look_at": [
16
+ -2.463384070488849,
17
+ -1.1501314791714599,
18
+ -0.3320714702054621
19
+ ],
20
+ "blue": {
21
+ "circle_color": "blue",
22
+ "label": "armchair",
23
+ "id": "armchair_0",
24
+ "centroid": [
25
+ -0.7894498705863953,
26
+ -1.7014870643615723,
27
+ -0.515380859375
28
+ ],
29
+ "distance_to_camera": 3.2141594704224596,
30
+ "width": 0.550048828125,
31
+ "length": 0.701416015625,
32
+ "height": 0.46826171875
33
+ },
34
+ "red": {
35
+ "circle_color": "red",
36
+ "label": "plant",
37
+ "id": "plant_0",
38
+ "centroid": [
39
+ -0.50859135389328,
40
+ 0.7140958905220032,
41
+ -0.0146484375
42
+ ],
43
+ "distance_to_camera": 1.1582442813345215,
44
+ "width": 1.5822370201349258,
45
+ "length": 0.643310546875,
46
+ "height": 0.322265625
47
+ },
48
+ "scene_id": "0224_txt_b4ff8b53cd9f",
49
+ "layout_path": null,
50
+ "image_path": "question_image_2.jpg"
51
+ }
0224_txt_b4ff8b53cd9f/tasks/000_closest_object/question_3.json ADDED
@@ -0,0 +1,51 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "closest_object",
3
+ "question": "Out of plant (blue point) and armchair (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. plant (blue point)",
6
+ "B. armchair (red point)"
7
+ ],
8
+ "answer": "A",
9
+ "camera_name": "rand_062",
10
+ "camera_position": [
11
+ 0.3584645533043048,
12
+ 1.0553436254450452,
13
+ 0.673315117092675
14
+ ],
15
+ "camera_look_at": [
16
+ -2.463384070488849,
17
+ -1.1501314791714599,
18
+ -0.3320714702054621
19
+ ],
20
+ "blue": {
21
+ "circle_color": "blue",
22
+ "label": "plant",
23
+ "id": "plant_0",
24
+ "centroid": [
25
+ -0.50859135389328,
26
+ 0.7140958905220032,
27
+ -0.0146484375
28
+ ],
29
+ "distance_to_camera": 1.1582442813345215,
30
+ "width": 1.5822370201349258,
31
+ "length": 0.643310546875,
32
+ "height": 0.322265625
33
+ },
34
+ "red": {
35
+ "circle_color": "red",
36
+ "label": "armchair",
37
+ "id": "armchair_0",
38
+ "centroid": [
39
+ -0.7894498705863953,
40
+ -1.7014870643615723,
41
+ -0.515380859375
42
+ ],
43
+ "distance_to_camera": 3.2141594704224596,
44
+ "width": 0.550048828125,
45
+ "length": 0.701416015625,
46
+ "height": 0.46826171875
47
+ },
48
+ "scene_id": "0224_txt_b4ff8b53cd9f",
49
+ "layout_path": null,
50
+ "image_path": "question_image_3.jpg"
51
+ }
0224_txt_b4ff8b53cd9f/tasks/001_depth_estimation/question_0.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "depth_estimation",
3
+ "question": "Calculate the depth of the armchair (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": "1.38",
5
+ "camera_name": "rand_020",
6
+ "camera_position": [
7
+ -0.8128856415093202,
8
+ -0.6779952191779635,
9
+ 0.6364681785271182
10
+ ],
11
+ "camera_look_at": [
12
+ -0.15325294072466833,
13
+ -1.4962867742324744,
14
+ -0.35286576539506354
15
+ ],
16
+ "object": {
17
+ "label": "armchair",
18
+ "id": "armchair_0",
19
+ "centroid": [
20
+ -0.7894498705863953,
21
+ -1.7014870643615723,
22
+ -0.515380859375
23
+ ],
24
+ "depth": 1.38,
25
+ "width": 0.550048828125,
26
+ "length": 0.701416015625,
27
+ "height": 0.46826171875
28
+ },
29
+ "scene_id": "0224_txt_b4ff8b53cd9f",
30
+ "layout_path": null,
31
+ "image_path": "question_image_0.jpg"
32
+ }
0224_txt_b4ff8b53cd9f/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 armchair (red point). Calculate or judge based on the 3D center points of these objects. Respond with only a number.",
4
+ "answer": "1.34",
5
+ "camera_name": "rand_046",
6
+ "camera_position": [
7
+ -0.8894468609446238,
8
+ -0.4383896498083999,
9
+ -0.08305538265357448
10
+ ],
11
+ "camera_look_at": [
12
+ -0.7988401950001043,
13
+ -1.6762672888946997,
14
+ -0.5396737290854005
15
+ ],
16
+ "object": {
17
+ "label": "armchair",
18
+ "id": "armchair_0",
19
+ "centroid": [
20
+ -0.7894498705863953,
21
+ -1.7014870643615723,
22
+ -0.515380859375
23
+ ],
24
+ "depth": 1.34,
25
+ "width": 0.550048828125,
26
+ "length": 0.701416015625,
27
+ "height": 0.46826171875
28
+ },
29
+ "scene_id": "0224_txt_b4ff8b53cd9f",
30
+ "layout_path": null,
31
+ "image_path": "question_image_1.jpg"
32
+ }
0224_txt_b4ff8b53cd9f/tasks/001_depth_estimation/question_2.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "depth_estimation",
3
+ "question": "Estimate the depth in meters of the table (red point). Calculate or judge based on the 3D center points of these objects. Respond with only a number.",
4
+ "answer": "1.1",
5
+ "camera_name": "rand_046",
6
+ "camera_position": [
7
+ -0.8894468609446238,
8
+ -0.4383896498083999,
9
+ -0.08305538265357448
10
+ ],
11
+ "camera_look_at": [
12
+ -0.7988401950001043,
13
+ -1.6762672888946997,
14
+ -0.5396737290854005
15
+ ],
16
+ "object": {
17
+ "label": "table",
18
+ "id": "table_0",
19
+ "centroid": [
20
+ -0.26236143708229065,
21
+ -1.3929784297943115,
22
+ -0.56494140625
23
+ ],
24
+ "depth": 1.1,
25
+ "width": 0.29248046875,
26
+ "length": 0.2682032585144043,
27
+ "height": 0.46435546875
28
+ },
29
+ "scene_id": "0224_txt_b4ff8b53cd9f",
30
+ "layout_path": null,
31
+ "image_path": "question_image_2.jpg"
32
+ }
0224_txt_b4ff8b53cd9f/tasks/001_depth_estimation/question_3.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "depth_estimation",
3
+ "question": "How deep is the table (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": "1.36",
5
+ "camera_name": "rand_058",
6
+ "camera_position": [
7
+ -0.34307807518980543,
8
+ -0.7315824562192703,
9
+ 0.6466247052945393
10
+ ],
11
+ "camera_look_at": [
12
+ -0.10178357559966134,
13
+ -1.4545721592506393,
14
+ -0.35674249675139547
15
+ ],
16
+ "object": {
17
+ "label": "table",
18
+ "id": "table_0",
19
+ "centroid": [
20
+ -0.26236143708229065,
21
+ -1.3929784297943115,
22
+ -0.56494140625
23
+ ],
24
+ "depth": 1.36,
25
+ "width": 0.29248046875,
26
+ "length": 0.2682032585144043,
27
+ "height": 0.46435546875
28
+ },
29
+ "scene_id": "0224_txt_b4ff8b53cd9f",
30
+ "layout_path": null,
31
+ "image_path": "question_image_3.jpg"
32
+ }
0224_txt_b4ff8b53cd9f/tasks/001_depth_estimation/question_4.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "depth_estimation",
3
+ "question": "What depth value in meters corresponds to the armchair (red point)? Calculate or judge based on the 3D center points of these objects. Answer with a number only.",
4
+ "answer": "2.75",
5
+ "camera_name": "rand_015",
6
+ "camera_position": [
7
+ -0.023500951886631993,
8
+ 0.5720328401998794,
9
+ 0.9052064115988165
10
+ ],
11
+ "camera_look_at": [
12
+ -0.7792739375520676,
13
+ -1.6830618290965067,
14
+ -0.12297606299711417
15
+ ],
16
+ "object": {
17
+ "label": "armchair",
18
+ "id": "armchair_1",
19
+ "centroid": [
20
+ -2.384279727935791,
21
+ -1.1442111730575562,
22
+ -0.524472713470459
23
+ ],
24
+ "depth": 2.75,
25
+ "width": 0.8081159591674805,
26
+ "length": 0.6546582579612732,
27
+ "height": 0.48839855194091797
28
+ },
29
+ "scene_id": "0224_txt_b4ff8b53cd9f",
30
+ "layout_path": null,
31
+ "image_path": "question_image_4.jpg"
32
+ }
0224_txt_b4ff8b53cd9f/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 armchair (red point). Calculate or judge based on the 3D center points of these objects. Respond with only a number.",
4
+ "answer": "2.39",
5
+ "camera_name": "rand_022",
6
+ "camera_position": [
7
+ -0.21925444311852443,
8
+ -0.28238771182842193,
9
+ -0.007977147734841705
10
+ ],
11
+ "camera_look_at": [
12
+ -2.408301551225767,
13
+ -1.0982985281943034,
14
+ -0.5137786211358992
15
+ ],
16
+ "object": {
17
+ "label": "armchair",
18
+ "id": "armchair_1",
19
+ "centroid": [
20
+ -2.384279727935791,
21
+ -1.1442111730575562,
22
+ -0.524472713470459
23
+ ],
24
+ "depth": 2.39,
25
+ "width": 0.8081159591674805,
26
+ "length": 0.6546582579612732,
27
+ "height": 0.48839855194091797
28
+ },
29
+ "scene_id": "0224_txt_b4ff8b53cd9f",
30
+ "layout_path": null,
31
+ "image_path": "question_image_5.jpg"
32
+ }
0224_txt_b4ff8b53cd9f/tasks/001_depth_estimation/question_6.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "depth_estimation",
3
+ "question": "How deep is the plant (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": "1.02",
5
+ "camera_name": "rand_001",
6
+ "camera_position": [
7
+ -1.0771360256805445,
8
+ -0.09593169920457814,
9
+ 0.23787967886771622
10
+ ],
11
+ "camera_look_at": [
12
+ -0.5069147878539169,
13
+ 0.7267577584891063,
14
+ -0.020960280796273434
15
+ ],
16
+ "object": {
17
+ "label": "plant",
18
+ "id": "plant_0",
19
+ "centroid": [
20
+ -0.50859135389328,
21
+ 0.7140958905220032,
22
+ -0.0146484375
23
+ ],
24
+ "depth": 1.02,
25
+ "width": 1.5822370201349258,
26
+ "length": 0.643310546875,
27
+ "height": 0.322265625
28
+ },
29
+ "scene_id": "0224_txt_b4ff8b53cd9f",
30
+ "layout_path": null,
31
+ "image_path": "question_image_6.jpg"
32
+ }
0224_txt_b4ff8b53cd9f/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 plant (red point)? Calculate or judge based on the 3D center points of these objects. Answer with a number only.",
4
+ "answer": "2.21",
5
+ "camera_name": "rand_053",
6
+ "camera_position": [
7
+ -2.069452227952233,
8
+ -0.8560192495632344,
9
+ -0.06552464008477554
10
+ ],
11
+ "camera_look_at": [
12
+ -0.560593676499562,
13
+ 0.7138049607659243,
14
+ -0.1977508772183524
15
+ ],
16
+ "object": {
17
+ "label": "plant",
18
+ "id": "plant_0",
19
+ "centroid": [
20
+ -0.50859135389328,
21
+ 0.7140958905220032,
22
+ -0.0146484375
23
+ ],
24
+ "depth": 2.21,
25
+ "width": 1.5822370201349258,
26
+ "length": 0.643310546875,
27
+ "height": 0.322265625
28
+ },
29
+ "scene_id": "0224_txt_b4ff8b53cd9f",
30
+ "layout_path": null,
31
+ "image_path": "question_image_7.jpg"
32
+ }
0224_txt_b4ff8b53cd9f/tasks/001_depth_estimation/question_8.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "depth_estimation",
3
+ "question": "Measure the depth to the side table (red point) in meters. Calculate or judge based on the 3D center points of these objects. Reply with a single number.",
4
+ "answer": "2.2",
5
+ "camera_name": "view_006",
6
+ "camera_position": [
7
+ -0.0,
8
+ -0.0,
9
+ 0.0
10
+ ],
11
+ "camera_look_at": [
12
+ 1.1829179332573624e-15,
13
+ 9.659257888793945,
14
+ -2.5881905555725098
15
+ ],
16
+ "object": {
17
+ "label": "side table",
18
+ "id": "side table_0",
19
+ "centroid": [
20
+ 1.3584997653961182,
21
+ 2.1342663764953613,
22
+ -0.5539111495018005
23
+ ],
24
+ "depth": 2.2,
25
+ "width": 0.3619776964187622,
26
+ "length": 0.638124942779541,
27
+ "height": 0.4298340082168579
28
+ },
29
+ "scene_id": "0224_txt_b4ff8b53cd9f",
30
+ "layout_path": null,
31
+ "image_path": "question_image_8.jpg"
32
+ }
0224_txt_b4ff8b53cd9f/tasks/001_depth_estimation/question_9.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "depth_estimation",
3
+ "question": "How far along the depth axis is the side table (red point) from the camera? Calculate or judge based on the 3D center points of these objects. Answer in meters only.",
4
+ "answer": "2.58",
5
+ "camera_name": "view_005",
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": "side table",
18
+ "id": "side table_0",
19
+ "centroid": [
20
+ 1.3584997653961182,
21
+ 2.1342663764953613,
22
+ -0.5539111495018005
23
+ ],
24
+ "depth": 2.58,
25
+ "width": 0.3619776964187622,
26
+ "length": 0.638124942779541,
27
+ "height": 0.4298340082168579
28
+ },
29
+ "scene_id": "0224_txt_b4ff8b53cd9f",
30
+ "layout_path": null,
31
+ "image_path": "question_image_9.jpg"
32
+ }
0224_txt_b4ff8b53cd9f/tasks/002_distance_estimation/question_0.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "distance_estimation",
3
+ "question": "How many meters is the table (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": "1.27",
5
+ "camera_name": "rand_039",
6
+ "camera_position": [
7
+ -0.4699158467775987,
8
+ -0.4590721252892668,
9
+ 0.27358462596585187
10
+ ],
11
+ "camera_look_at": [
12
+ -0.24741750590820621,
13
+ -1.4462373173528187,
14
+ -0.5583020689054532
15
+ ],
16
+ "object": {
17
+ "label": "table",
18
+ "id": "table_0",
19
+ "centroid": [
20
+ -0.26236143708229065,
21
+ -1.3929784297943115,
22
+ -0.56494140625
23
+ ],
24
+ "distance": 1.272157901080639,
25
+ "width": 0.29248046875,
26
+ "length": 0.2682032585144043,
27
+ "height": 0.46435546875
28
+ },
29
+ "scene_id": "0224_txt_b4ff8b53cd9f",
30
+ "layout_path": null,
31
+ "image_path": "question_image_0.jpg"
32
+ }
0224_txt_b4ff8b53cd9f/tasks/002_distance_estimation/question_1.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "distance_estimation",
3
+ "question": "How many meters is the plant (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": "1.86",
5
+ "camera_name": "rand_017",
6
+ "camera_position": [
7
+ -0.787163564889858,
8
+ -1.0942418099210358,
9
+ 0.3217666175824112
10
+ ],
11
+ "camera_look_at": [
12
+ 1.3414488769999562,
13
+ 2.1353548481073235,
14
+ -0.5547666149166706
15
+ ],
16
+ "object": {
17
+ "label": "plant",
18
+ "id": "plant_0",
19
+ "centroid": [
20
+ -0.50859135389328,
21
+ 0.7140958905220032,
22
+ -0.0146484375
23
+ ],
24
+ "distance": 1.8603394327028715,
25
+ "width": 1.5822370201349258,
26
+ "length": 0.643310546875,
27
+ "height": 0.322265625
28
+ },
29
+ "scene_id": "0224_txt_b4ff8b53cd9f",
30
+ "layout_path": null,
31
+ "image_path": "question_image_1.jpg"
32
+ }
0224_txt_b4ff8b53cd9f/tasks/002_distance_estimation/question_2.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "distance_estimation",
3
+ "question": "How far is the armchair (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": "1.54",
5
+ "camera_name": "rand_020",
6
+ "camera_position": [
7
+ -0.8128856415093202,
8
+ -0.6779952191779635,
9
+ 0.6364681785271182
10
+ ],
11
+ "camera_look_at": [
12
+ -0.15325294072466833,
13
+ -1.4962867742324744,
14
+ -0.35286576539506354
15
+ ],
16
+ "object": {
17
+ "label": "armchair",
18
+ "id": "armchair_0",
19
+ "centroid": [
20
+ -0.7894498705863953,
21
+ -1.7014870643615723,
22
+ -0.515380859375
23
+ ],
24
+ "distance": 1.5410519130230933,
25
+ "width": 0.550048828125,
26
+ "length": 0.701416015625,
27
+ "height": 0.46826171875
28
+ },
29
+ "scene_id": "0224_txt_b4ff8b53cd9f",
30
+ "layout_path": null,
31
+ "image_path": "question_image_2.jpg"
32
+ }
0224_txt_b4ff8b53cd9f/tasks/002_distance_estimation/question_3.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "distance_estimation",
3
+ "question": "What is the straight-line distance from the camera to the armchair (red point) in meters? Calculate or judge based on the 3D center points of these objects. Give a numerical answer.",
4
+ "answer": "2.44",
5
+ "camera_name": "rand_000",
6
+ "camera_position": [
7
+ -0.3515945530504269,
8
+ 0.025902994052588557,
9
+ 0.13175408278789225
10
+ ],
11
+ "camera_look_at": [
12
+ -2.3185860682126864,
13
+ -1.0948900916250837,
14
+ -0.550119582327321
15
+ ],
16
+ "object": {
17
+ "label": "armchair",
18
+ "id": "armchair_1",
19
+ "centroid": [
20
+ -2.384279727935791,
21
+ -1.1442111730575562,
22
+ -0.524472713470459
23
+ ],
24
+ "distance": 2.435489641201151,
25
+ "width": 0.8081159591674805,
26
+ "length": 0.6546582579612732,
27
+ "height": 0.48839855194091797
28
+ },
29
+ "scene_id": "0224_txt_b4ff8b53cd9f",
30
+ "layout_path": null,
31
+ "image_path": "question_image_3.jpg"
32
+ }
0224_txt_b4ff8b53cd9f/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 armchair (red point)? Calculate or judge based on the 3D center points of these objects. Answer using a single number and nothing else.",
4
+ "answer": "1.51",
5
+ "camera_name": "rand_039",
6
+ "camera_position": [
7
+ -0.4699158467775987,
8
+ -0.4590721252892668,
9
+ 0.27358462596585187
10
+ ],
11
+ "camera_look_at": [
12
+ -0.24741750590820621,
13
+ -1.4462373173528187,
14
+ -0.5583020689054532
15
+ ],
16
+ "object": {
17
+ "label": "armchair",
18
+ "id": "armchair_0",
19
+ "centroid": [
20
+ -0.7894498705863953,
21
+ -1.7014870643615723,
22
+ -0.515380859375
23
+ ],
24
+ "distance": 1.5060423002892738,
25
+ "width": 0.550048828125,
26
+ "length": 0.701416015625,
27
+ "height": 0.46826171875
28
+ },
29
+ "scene_id": "0224_txt_b4ff8b53cd9f",
30
+ "layout_path": null,
31
+ "image_path": "question_image_4.jpg"
32
+ }
0224_txt_b4ff8b53cd9f/tasks/002_distance_estimation/question_5.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "distance_estimation",
3
+ "question": "Estimate the 3D distance in meters between the camera and the table (red point). Calculate or judge based on the 3D center points of these objects. Respond with only a number.",
4
+ "answer": "1.53",
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": "table",
18
+ "id": "table_0",
19
+ "centroid": [
20
+ -0.26236143708229065,
21
+ -1.3929784297943115,
22
+ -0.56494140625
23
+ ],
24
+ "distance": 1.5259034117649248,
25
+ "width": 0.29248046875,
26
+ "length": 0.2682032585144043,
27
+ "height": 0.46435546875
28
+ },
29
+ "scene_id": "0224_txt_b4ff8b53cd9f",
30
+ "layout_path": null,
31
+ "image_path": "question_image_5.jpg"
32
+ }
0224_txt_b4ff8b53cd9f/tasks/002_distance_estimation/question_6.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "distance_estimation",
3
+ "question": "Determine how many meters separate the camera from the center of the plant (red point). Calculate or judge based on the 3D center points of these objects. Provide a single number.",
4
+ "answer": "1.96",
5
+ "camera_name": "rand_029",
6
+ "camera_position": [
7
+ -0.6055942194712933,
8
+ -1.2457304333389276,
9
+ 0.07445050456672053
10
+ ],
11
+ "camera_look_at": [
12
+ 1.3503793381592542,
13
+ 2.175783359449024,
14
+ -0.5297391364099462
15
+ ],
16
+ "object": {
17
+ "label": "plant",
18
+ "id": "plant_0",
19
+ "centroid": [
20
+ -0.50859135389328,
21
+ 0.7140958905220032,
22
+ -0.0146484375
23
+ ],
24
+ "distance": 1.9642472851212,
25
+ "width": 1.5822370201349258,
26
+ "length": 0.643310546875,
27
+ "height": 0.322265625
28
+ },
29
+ "scene_id": "0224_txt_b4ff8b53cd9f",
30
+ "layout_path": null,
31
+ "image_path": "question_image_6.jpg"
32
+ }
0224_txt_b4ff8b53cd9f/tasks/002_distance_estimation/question_7.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "distance_estimation",
3
+ "question": "What is the straight-line distance from the camera to the armchair (red point) in meters? Calculate or judge based on the 3D center points of these objects. Give a numerical answer.",
4
+ "answer": "3.13",
5
+ "camera_name": "rand_028",
6
+ "camera_position": [
7
+ -0.010075193634679673,
8
+ 0.7076439106586767,
9
+ 0.3272880115695771
10
+ ],
11
+ "camera_look_at": [
12
+ -0.7692217638710879,
13
+ -1.5816516437017838,
14
+ -0.49142924479245575
15
+ ],
16
+ "object": {
17
+ "label": "armchair",
18
+ "id": "armchair_1",
19
+ "centroid": [
20
+ -2.384279727935791,
21
+ -1.1442111730575562,
22
+ -0.524472713470459
23
+ ],
24
+ "distance": 3.129170937245574,
25
+ "width": 0.8081159591674805,
26
+ "length": 0.6546582579612732,
27
+ "height": 0.48839855194091797
28
+ },
29
+ "scene_id": "0224_txt_b4ff8b53cd9f",
30
+ "layout_path": null,
31
+ "image_path": "question_image_7.jpg"
32
+ }
0224_txt_b4ff8b53cd9f/tasks/002_distance_estimation/question_8.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "distance_estimation",
3
+ "question": "Measure the distance from the camera position to the side table (red point). Calculate or judge based on the 3D center points of these objects. Answer in meters, number only.",
4
+ "answer": "2.59",
5
+ "camera_name": "view_005",
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": "side table",
18
+ "id": "side table_0",
19
+ "centroid": [
20
+ 1.3584997653961182,
21
+ 2.1342663764953613,
22
+ -0.5539111495018005
23
+ ],
24
+ "distance": 2.589871066281554,
25
+ "width": 0.3619776964187622,
26
+ "length": 0.638124942779541,
27
+ "height": 0.4298340082168579
28
+ },
29
+ "scene_id": "0224_txt_b4ff8b53cd9f",
30
+ "layout_path": null,
31
+ "image_path": "question_image_8.jpg"
32
+ }
0224_txt_b4ff8b53cd9f/tasks/002_distance_estimation/question_9.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "distance_estimation",
3
+ "question": "Estimate the 3D distance in meters between the camera and the side table (red point). Calculate or judge based on the 3D center points of these objects. Respond with only a number.",
4
+ "answer": "2.59",
5
+ "camera_name": "view_005",
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": "side table",
18
+ "id": "side table_0",
19
+ "centroid": [
20
+ 1.3584997653961182,
21
+ 2.1342663764953613,
22
+ -0.5539111495018005
23
+ ],
24
+ "distance": 2.589871066281554,
25
+ "width": 0.3619776964187622,
26
+ "length": 0.638124942779541,
27
+ "height": 0.4298340082168579
28
+ },
29
+ "scene_id": "0224_txt_b4ff8b53cd9f",
30
+ "layout_path": null,
31
+ "image_path": "question_image_9.jpg"
32
+ }
0224_txt_b4ff8b53cd9f/tasks/003_object_distance/question_0.json ADDED
@@ -0,0 +1,47 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "object_distance",
3
+ "question": "What is the straight-line distance between table (blue point) and armchair (red point)? Calculate or judge based on the 3D center points of these objects. Give the answer in meters as one number.",
4
+ "answer": "0.61",
5
+ "camera_name": "rand_016",
6
+ "camera_position": [
7
+ -0.13458374006738516,
8
+ -0.42439440082636176,
9
+ -0.021259670710399026
10
+ ],
11
+ "camera_look_at": [
12
+ -0.8542887611046228,
13
+ -1.6970867867647685,
14
+ -0.49737261562376317
15
+ ],
16
+ "blue": {
17
+ "circle_color": "blue",
18
+ "label": "table",
19
+ "id": "table_0",
20
+ "centroid": [
21
+ -0.26236143708229065,
22
+ -1.3929784297943115,
23
+ -0.56494140625
24
+ ],
25
+ "distance_to_camera": 1.118066183454974,
26
+ "width": 0.29248046875,
27
+ "length": 0.2682032585144043,
28
+ "height": 0.46435546875
29
+ },
30
+ "red": {
31
+ "circle_color": "red",
32
+ "label": "armchair",
33
+ "id": "armchair_0",
34
+ "centroid": [
35
+ -0.7894498705863953,
36
+ -1.7014870643615723,
37
+ -0.515380859375
38
+ ],
39
+ "distance_to_camera": 1.517883746946293,
40
+ "width": 0.550048828125,
41
+ "length": 0.701416015625,
42
+ "height": 0.46826171875
43
+ },
44
+ "scene_id": "0224_txt_b4ff8b53cd9f",
45
+ "layout_path": null,
46
+ "image_path": "question_image_0.jpg"
47
+ }
0224_txt_b4ff8b53cd9f/tasks/003_object_distance/question_1.json ADDED
@@ -0,0 +1,47 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "object_distance",
3
+ "question": "What is the straight-line distance between armchair (blue point) and plant (red point)? Calculate or judge based on the 3D center points of these objects. Give the answer in meters as one number.",
4
+ "answer": "2.69",
5
+ "camera_name": "rand_012",
6
+ "camera_position": [
7
+ 0.637170594147901,
8
+ 1.2297795546536254,
9
+ 0.5237826254687603
10
+ ],
11
+ "camera_look_at": [
12
+ -0.7952803606194541,
13
+ -1.7444759263829015,
14
+ -0.49501977434211586
15
+ ],
16
+ "blue": {
17
+ "circle_color": "blue",
18
+ "label": "armchair",
19
+ "id": "armchair_1",
20
+ "centroid": [
21
+ -2.384279727935791,
22
+ -1.1442111730575562,
23
+ -0.524472713470459
24
+ ],
25
+ "distance_to_camera": 3.9829427914160265,
26
+ "width": 0.8081159591674805,
27
+ "length": 0.6546582579612732,
28
+ "height": 0.48839855194091797
29
+ },
30
+ "red": {
31
+ "circle_color": "red",
32
+ "label": "plant",
33
+ "id": "plant_0",
34
+ "centroid": [
35
+ -0.50859135389328,
36
+ 0.7140958905220032,
37
+ -0.0146484375
38
+ ],
39
+ "distance_to_camera": 1.366970406629568,
40
+ "width": 1.5822370201349258,
41
+ "length": 0.643310546875,
42
+ "height": 0.322265625
43
+ },
44
+ "scene_id": "0224_txt_b4ff8b53cd9f",
45
+ "layout_path": null,
46
+ "image_path": "question_image_1.jpg"
47
+ }
0224_txt_b4ff8b53cd9f/tasks/003_object_distance/question_2.json ADDED
@@ -0,0 +1,47 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "object_distance",
3
+ "question": "How far apart are plant (blue point) and armchair (red point) in meters? Calculate or judge based on the 3D center points of these objects. Answer with a single number.",
4
+ "answer": "2.69",
5
+ "camera_name": "rand_012",
6
+ "camera_position": [
7
+ 0.637170594147901,
8
+ 1.2297795546536254,
9
+ 0.5237826254687603
10
+ ],
11
+ "camera_look_at": [
12
+ -0.7952803606194541,
13
+ -1.7444759263829015,
14
+ -0.49501977434211586
15
+ ],
16
+ "blue": {
17
+ "circle_color": "blue",
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+ "label": "plant",
19
+ "id": "plant_0",
20
+ "centroid": [
21
+ -0.50859135389328,
22
+ 0.7140958905220032,
23
+ -0.0146484375
24
+ ],
25
+ "distance_to_camera": 1.366970406629568,
26
+ "width": 1.5822370201349258,
27
+ "length": 0.643310546875,
28
+ "height": 0.322265625
29
+ },
30
+ "red": {
31
+ "circle_color": "red",
32
+ "label": "armchair",
33
+ "id": "armchair_1",
34
+ "centroid": [
35
+ -2.384279727935791,
36
+ -1.1442111730575562,
37
+ -0.524472713470459
38
+ ],
39
+ "distance_to_camera": 3.9829427914160265,
40
+ "width": 0.8081159591674805,
41
+ "length": 0.6546582579612732,
42
+ "height": 0.48839855194091797
43
+ },
44
+ "scene_id": "0224_txt_b4ff8b53cd9f",
45
+ "layout_path": null,
46
+ "image_path": "question_image_2.jpg"
47
+ }
0224_txt_b4ff8b53cd9f/tasks/005_camera_object_position/question_0.json ADDED
@@ -0,0 +1,39 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "camera_object_position",
3
+ "question": "In which region of the observer's field of view does table (bbox) appear? Calculate or judge based on the 3D center points of these objects. Choose from the options.",
4
+ "choices": [
5
+ "A. , , front",
6
+ "B. right, , ",
7
+ "C. left, below, front",
8
+ "D. , , behind"
9
+ ],
10
+ "answer": "C",
11
+ "camera_name": "rand_062",
12
+ "camera_position": [
13
+ 0.3584645533043048,
14
+ 1.0553436254450452,
15
+ 0.673315117092675
16
+ ],
17
+ "camera_look_at": [
18
+ -2.463384070488849,
19
+ -1.1501314791714599,
20
+ -0.3320714702054621
21
+ ],
22
+ "object": {
23
+ "label": "table",
24
+ "id": "table_0",
25
+ "centroid": [
26
+ -0.26236143708229065,
27
+ -1.3929784297943115,
28
+ -0.56494140625
29
+ ],
30
+ "image_u": 0.106,
31
+ "image_v": 0.796,
32
+ "width": 0.29248046875,
33
+ "length": 0.2682032585144043,
34
+ "height": 0.46435546875
35
+ },
36
+ "scene_id": "0224_txt_b4ff8b53cd9f",
37
+ "layout_path": null,
38
+ "image_path": "question_image_0.jpg"
39
+ }
0224_txt_b4ff8b53cd9f/tasks/005_camera_object_position/question_1.json ADDED
@@ -0,0 +1,39 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "camera_object_position",
3
+ "question": "Where is armchair (bbox) located relative to the camera's center of view? Calculate or judge based on the 3D center points of these objects. Choose the correct answer.",
4
+ "choices": [
5
+ "A. left, below, front",
6
+ "B. right, below, front",
7
+ "C. right, above, front",
8
+ "D. left, below, behind"
9
+ ],
10
+ "answer": "A",
11
+ "camera_name": "rand_054",
12
+ "camera_position": [
13
+ -0.0029988916379874997,
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+ 0.11686643798296881,
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+ 0.3579770803885669
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+ ],
17
+ "camera_look_at": [
18
+ -2.365297799484056,
19
+ -1.1220091219379944,
20
+ -0.5221508900415355
21
+ ],
22
+ "object": {
23
+ "label": "armchair",
24
+ "id": "armchair_0",
25
+ "centroid": [
26
+ -0.7894498705863953,
27
+ -1.7014870643615723,
28
+ -0.515380859375
29
+ ],
30
+ "image_u": 0.088,
31
+ "image_v": 0.704,
32
+ "width": 0.550048828125,
33
+ "length": 0.701416015625,
34
+ "height": 0.46826171875
35
+ },
36
+ "scene_id": "0224_txt_b4ff8b53cd9f",
37
+ "layout_path": null,
38
+ "image_path": "question_image_1.jpg"
39
+ }
0224_txt_b4ff8b53cd9f/tasks/005_camera_object_position/question_2.json ADDED
@@ -0,0 +1,39 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "camera_object_position",
3
+ "question": "Determine where table (bbox) is situated with respect to the camera's line of sight. Calculate or judge based on the 3D center points of these objects. Choose the correct response.",
4
+ "choices": [
5
+ "A. , , behind",
6
+ "B. , above, behind",
7
+ "C. , , ",
8
+ "D. right, below, front"
9
+ ],
10
+ "answer": "D",
11
+ "camera_name": "view_001",
12
+ "camera_position": [
13
+ -0.0,
14
+ -0.0,
15
+ 0.0
16
+ ],
17
+ "camera_look_at": [
18
+ 4.829628944396973,
19
+ -8.36516284942627,
20
+ -2.5881905555725098
21
+ ],
22
+ "object": {
23
+ "label": "table",
24
+ "id": "table_0",
25
+ "centroid": [
26
+ -0.26236143708229065,
27
+ -1.3929784297943115,
28
+ -0.56494140625
29
+ ],
30
+ "image_u": 0.948,
31
+ "image_v": 0.731,
32
+ "width": 0.29248046875,
33
+ "length": 0.2682032585144043,
34
+ "height": 0.46435546875
35
+ },
36
+ "scene_id": "0224_txt_b4ff8b53cd9f",
37
+ "layout_path": null,
38
+ "image_path": "question_image_2.jpg"
39
+ }
0224_txt_b4ff8b53cd9f/tasks/005_camera_object_position/question_3.json ADDED
@@ -0,0 +1,39 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "camera_object_position",
3
+ "question": "From the observer's perspective, in which part of the view is armchair (bbox) positioned? Calculate or judge based on the 3D center points of these objects. Pick the right option.",
4
+ "choices": [
5
+ "A. left, below, front",
6
+ "B. , , front",
7
+ "C. , above, front",
8
+ "D. left, , front"
9
+ ],
10
+ "answer": "A",
11
+ "camera_name": "rand_011",
12
+ "camera_position": [
13
+ 0.21618858518539094,
14
+ 0.7813858133728087,
15
+ 0.7397297036156243
16
+ ],
17
+ "camera_look_at": [
18
+ -2.36960632206276,
19
+ -1.1807681684408249,
20
+ -0.2580443867849709
21
+ ],
22
+ "object": {
23
+ "label": "armchair",
24
+ "id": "armchair_0",
25
+ "centroid": [
26
+ -0.7894498705863953,
27
+ -1.7014870643615723,
28
+ -0.515380859375
29
+ ],
30
+ "image_u": 0.193,
31
+ "image_v": 0.708,
32
+ "width": 0.550048828125,
33
+ "length": 0.701416015625,
34
+ "height": 0.46826171875
35
+ },
36
+ "scene_id": "0224_txt_b4ff8b53cd9f",
37
+ "layout_path": null,
38
+ "image_path": "question_image_3.jpg"
39
+ }
0224_txt_b4ff8b53cd9f/tasks/005_camera_object_position/question_4.json ADDED
@@ -0,0 +1,39 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "camera_object_position",
3
+ "question": "Considering the observer's view, describe the location of plant (bbox). Calculate or judge based on the 3D center points of these objects. Choose the right answer.",
4
+ "choices": [
5
+ "A. right, below, front",
6
+ "B. left, , ",
7
+ "C. left, , front",
8
+ "D. left, above, front"
9
+ ],
10
+ "answer": "C",
11
+ "camera_name": "rand_055",
12
+ "camera_position": [
13
+ -1.1235689548770253,
14
+ -0.32347628039785653,
15
+ -0.08620534968668025
16
+ ],
17
+ "camera_look_at": [
18
+ 1.363762684452562,
19
+ 2.137190885751153,
20
+ -0.5258980015541458
21
+ ],
22
+ "object": {
23
+ "label": "plant",
24
+ "id": "plant_0",
25
+ "centroid": [
26
+ -0.50859135389328,
27
+ 0.7140958905220032,
28
+ -0.0146484375
29
+ ],
30
+ "image_u": 0.347,
31
+ "image_v": 0.307,
32
+ "width": 1.5822370201349258,
33
+ "length": 0.643310546875,
34
+ "height": 0.322265625
35
+ },
36
+ "scene_id": "0224_txt_b4ff8b53cd9f",
37
+ "layout_path": null,
38
+ "image_path": "question_image_4.jpg"
39
+ }
0224_txt_b4ff8b53cd9f/tasks/005_camera_object_position/question_5.json ADDED
@@ -0,0 +1,39 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "camera_object_position",
3
+ "question": "In which region of the observer's field of view does plant (bbox) appear? Calculate or judge based on the 3D center points of these objects. Choose from the options.",
4
+ "choices": [
5
+ "A. right, , ",
6
+ "B. right, below, front",
7
+ "C. , below, behind",
8
+ "D. left, , front"
9
+ ],
10
+ "answer": "D",
11
+ "camera_name": "rand_055",
12
+ "camera_position": [
13
+ -1.1235689548770253,
14
+ -0.32347628039785653,
15
+ -0.08620534968668025
16
+ ],
17
+ "camera_look_at": [
18
+ 1.363762684452562,
19
+ 2.137190885751153,
20
+ -0.5258980015541458
21
+ ],
22
+ "object": {
23
+ "label": "plant",
24
+ "id": "plant_0",
25
+ "centroid": [
26
+ -0.50859135389328,
27
+ 0.7140958905220032,
28
+ -0.0146484375
29
+ ],
30
+ "image_u": 0.347,
31
+ "image_v": 0.307,
32
+ "width": 1.5822370201349258,
33
+ "length": 0.643310546875,
34
+ "height": 0.322265625
35
+ },
36
+ "scene_id": "0224_txt_b4ff8b53cd9f",
37
+ "layout_path": null,
38
+ "image_path": "question_image_5.jpg"
39
+ }
0224_txt_b4ff8b53cd9f/tasks/006_depth_ordering/question_0.json ADDED
@@ -0,0 +1,72 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "depth_ordering",
3
+ "question": "List the three marked objects in order of increasing distance from the viewpoint: blue, red, green.",
4
+ "choices": [
5
+ "A. blue, green, red",
6
+ "B. green, red, blue",
7
+ "C. red, green, blue",
8
+ "D. red, blue, green"
9
+ ],
10
+ "answer": "B",
11
+ "camera_name": "rand_037",
12
+ "camera_position": [
13
+ 0.022040612929589476,
14
+ -0.06301322079806759,
15
+ 0.5013799759155759
16
+ ],
17
+ "camera_look_at": [
18
+ -0.8286606699884544,
19
+ -1.6618400253640806,
20
+ -0.5117381518115174
21
+ ],
22
+ "objects": [
23
+ {
24
+ "circle_color": "blue",
25
+ "label": "armchair",
26
+ "id": "armchair_1",
27
+ "centroid": [
28
+ -2.384279727935791,
29
+ -1.1442111730575562,
30
+ -0.524472713470459
31
+ ],
32
+ "distance_to_camera": 2.830501781513863,
33
+ "width": 0.8081159591674805,
34
+ "length": 0.6546582579612732,
35
+ "height": 0.48839855194091797,
36
+ "depth": 2.32
37
+ },
38
+ {
39
+ "circle_color": "red",
40
+ "label": "armchair",
41
+ "id": "armchair_0",
42
+ "centroid": [
43
+ -0.7894498705863953,
44
+ -1.7014870643615723,
45
+ -0.515380859375
46
+ ],
47
+ "distance_to_camera": 2.0921080127611864,
48
+ "width": 0.550048828125,
49
+ "length": 0.701416015625,
50
+ "height": 0.46826171875,
51
+ "depth": 2.09
52
+ },
53
+ {
54
+ "circle_color": "green",
55
+ "label": "table",
56
+ "id": "table_0",
57
+ "centroid": [
58
+ -0.26236143708229065,
59
+ -1.3929784297943115,
60
+ -0.56494140625
61
+ ],
62
+ "distance_to_camera": 1.7282167900049135,
63
+ "width": 0.29248046875,
64
+ "length": 0.2682032585144043,
65
+ "height": 0.46435546875,
66
+ "depth": 1.66
67
+ }
68
+ ],
69
+ "scene_id": "0224_txt_b4ff8b53cd9f",
70
+ "layout_path": null,
71
+ "image_path": "question_image_0.jpg"
72
+ }
0224_txt_b4ff8b53cd9f/tasks/006_depth_ordering/question_1.json ADDED
@@ -0,0 +1,72 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "depth_ordering",
3
+ "question": "Sequence the three colored points (blue, red, green) by their depth, starting with the closest.",
4
+ "choices": [
5
+ "A. red, blue, green",
6
+ "B. blue, green, red",
7
+ "C. green, blue, red",
8
+ "D. red, green, blue"
9
+ ],
10
+ "answer": "B",
11
+ "camera_name": "rand_062",
12
+ "camera_position": [
13
+ 0.3584645533043048,
14
+ 1.0553436254450452,
15
+ 0.673315117092675
16
+ ],
17
+ "camera_look_at": [
18
+ -2.463384070488849,
19
+ -1.1501314791714599,
20
+ -0.3320714702054621
21
+ ],
22
+ "objects": [
23
+ {
24
+ "circle_color": "blue",
25
+ "label": "plant",
26
+ "id": "plant_0",
27
+ "centroid": [
28
+ -0.50859135389328,
29
+ 0.7140958905220032,
30
+ -0.0146484375
31
+ ],
32
+ "distance_to_camera": 1.1582442813345215,
33
+ "width": 1.5822370201349258,
34
+ "length": 0.643310546875,
35
+ "height": 0.322265625,
36
+ "depth": 1.05
37
+ },
38
+ {
39
+ "circle_color": "red",
40
+ "label": "armchair",
41
+ "id": "armchair_0",
42
+ "centroid": [
43
+ -0.7894498705863953,
44
+ -1.7014870643615723,
45
+ -0.515380859375
46
+ ],
47
+ "distance_to_camera": 3.2141594704224596,
48
+ "width": 0.550048828125,
49
+ "length": 0.701416015625,
50
+ "height": 0.46826171875,
51
+ "depth": 2.83
52
+ },
53
+ {
54
+ "circle_color": "green",
55
+ "label": "table",
56
+ "id": "table_0",
57
+ "centroid": [
58
+ -0.26236143708229065,
59
+ -1.3929784297943115,
60
+ -0.56494140625
61
+ ],
62
+ "distance_to_camera": 2.8130028464457077,
63
+ "width": 0.29248046875,
64
+ "length": 0.2682032585144043,
65
+ "height": 0.46435546875,
66
+ "depth": 2.26
67
+ }
68
+ ],
69
+ "scene_id": "0224_txt_b4ff8b53cd9f",
70
+ "layout_path": null,
71
+ "image_path": "question_image_1.jpg"
72
+ }
0224_txt_b4ff8b53cd9f/tasks/006_depth_ordering/question_10.json ADDED
@@ -0,0 +1,72 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "depth_ordering",
3
+ "question": "Rank the following objects by their distance from the camera, closest first: blue point, red point, green point.",
4
+ "choices": [
5
+ "A. blue, red, green",
6
+ "B. blue, green, red",
7
+ "C. red, blue, green",
8
+ "D. green, blue, red"
9
+ ],
10
+ "answer": "C",
11
+ "camera_name": "rand_011",
12
+ "camera_position": [
13
+ 0.21618858518539094,
14
+ 0.7813858133728087,
15
+ 0.7397297036156243
16
+ ],
17
+ "camera_look_at": [
18
+ -2.36960632206276,
19
+ -1.1807681684408249,
20
+ -0.2580443867849709
21
+ ],
22
+ "objects": [
23
+ {
24
+ "circle_color": "blue",
25
+ "label": "armchair",
26
+ "id": "armchair_0",
27
+ "centroid": [
28
+ -0.7894498705863953,
29
+ -1.7014870643615723,
30
+ -0.515380859375
31
+ ],
32
+ "distance_to_camera": 2.958254376494136,
33
+ "width": 0.550048828125,
34
+ "length": 0.701416015625,
35
+ "height": 0.46826171875,
36
+ "depth": 2.57
37
+ },
38
+ {
39
+ "circle_color": "red",
40
+ "label": "table",
41
+ "id": "table_0",
42
+ "centroid": [
43
+ -0.26236143708229065,
44
+ -1.3929784297943115,
45
+ -0.56494140625
46
+ ],
47
+ "distance_to_camera": 2.580510935976463,
48
+ "width": 0.29248046875,
49
+ "length": 0.2682032585144043,
50
+ "height": 0.46435546875,
51
+ "depth": 2.0
52
+ },
53
+ {
54
+ "circle_color": "green",
55
+ "label": "armchair",
56
+ "id": "armchair_1",
57
+ "centroid": [
58
+ -2.384279727935791,
59
+ -1.1442111730575562,
60
+ -0.524472713470459
61
+ ],
62
+ "distance_to_camera": 3.4739843052413644,
63
+ "width": 0.8081159591674805,
64
+ "length": 0.6546582579612732,
65
+ "height": 0.48839855194091797,
66
+ "depth": 3.46
67
+ }
68
+ ],
69
+ "scene_id": "0224_txt_b4ff8b53cd9f",
70
+ "layout_path": null,
71
+ "image_path": "question_image_10.jpg"
72
+ }
0224_txt_b4ff8b53cd9f/tasks/006_depth_ordering/question_11.json ADDED
@@ -0,0 +1,72 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "depth_ordering",
3
+ "question": "Sort the marked objects from closest to most distant: blue point, red point, green point.",
4
+ "choices": [
5
+ "A. blue, red, green",
6
+ "B. red, blue, green",
7
+ "C. blue, green, red",
8
+ "D. green, red, blue"
9
+ ],
10
+ "answer": "C",
11
+ "camera_name": "rand_011",
12
+ "camera_position": [
13
+ 0.21618858518539094,
14
+ 0.7813858133728087,
15
+ 0.7397297036156243
16
+ ],
17
+ "camera_look_at": [
18
+ -2.36960632206276,
19
+ -1.1807681684408249,
20
+ -0.2580443867849709
21
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