Hugging Face's logo

Datasets:
WanyueZhang
/
MulSeT

Modalities:
Image
Languages:
English
ArXiv:
Tags:
computer-vision
visual-question-answering
multi-modal
spatial-reasoning
synthetic-data
License:
Dataset card Data Studio Files
xet
Community
2
WanyueZhang commited on
Commit
b66c82f
·
verified ·
1 Parent(s): 8a16a1b

Upload dataset files (batch 232/552)

Browse files
This view is limited to 50 files because it contains too many changes.   See raw diff
Files changed (50) hide show
  1. .gitattributes +269 -0
  2. train/FloorPlan20/12/0.json +0 -0
  3. train/FloorPlan20/12/0_depth_npy.npy +3 -0
  4. train/FloorPlan20/12/0_semantic_sensor_npy.npy +3 -0
  5. train/FloorPlan20/12/1.json +0 -0
  6. train/FloorPlan20/12/1_depth_npy.npy +3 -0
  7. train/FloorPlan20/12/1_semantic_sensor_npy.npy +3 -0
  8. train/FloorPlan20/12/depth_0.png +0 -0
  9. train/FloorPlan20/12/depth_1.png +0 -0
  10. train/FloorPlan20/12/mask_questions.jsonl +9 -0
  11. train/FloorPlan20/12/questions_distance.jsonl +2 -0
  12. train/FloorPlan20/12/rgb_0.png +3 -0
  13. train/FloorPlan20/12/rgb_0_mask_Cabinet|+00.20|+02.02|-02.00.png +3 -0
  14. train/FloorPlan20/12/rgb_0_mask_Cabinet|+01.18|+02.02|-02.00.png +3 -0
  15. train/FloorPlan20/12/rgb_0_mask_Cabinet|+01.38|+00.47|-01.69.png +3 -0
  16. train/FloorPlan20/12/rgb_0_mask_Toaster|+00.78|+00.90|-02.08.png +3 -0
  17. train/FloorPlan20/12/rgb_1.png +3 -0
  18. train/FloorPlan20/12/rgb_1_mask_Bread|+00.40|+00.96|+00.11.png +3 -0
  19. train/FloorPlan20/12/rgb_1_mask_Cabinet|+00.20|+02.02|-02.00.png +3 -0
  20. train/FloorPlan20/12/rgb_1_mask_Cabinet|+01.18|+02.02|-02.00.png +3 -0
  21. train/FloorPlan20/12/rgb_1_mask_Cabinet|+01.38|+00.47|-01.69.png +3 -0
  22. train/FloorPlan20/12/rgb_1_mask_Toaster|+00.78|+00.90|-02.08.png +3 -0
  23. train/FloorPlan20/12/semantic_0.png +0 -0
  24. train/FloorPlan20/12/semantic_1.png +0 -0
  25. train/FloorPlan20/28/0_depth_npy.npy +3 -0
  26. train/FloorPlan20/28/0_semantic_sensor_npy.npy +3 -0
  27. train/FloorPlan20/28/1.json +0 -0
  28. train/FloorPlan20/28/1_depth_npy.npy +3 -0
  29. train/FloorPlan20/28/1_semantic_sensor_npy.npy +3 -0
  30. train/FloorPlan20/28/depth_0.png +0 -0
  31. train/FloorPlan20/28/mask_questions.jsonl +17 -0
  32. train/FloorPlan20/28/questions_distance.jsonl +2 -0
  33. train/FloorPlan20/28/rgb_0.png +3 -0
  34. train/FloorPlan20/28/rgb_0_mask_Cabinet|+00.20|+02.02|-02.00.png +3 -0
  35. train/FloorPlan20/28/rgb_0_mask_Cabinet|+01.18|+02.02|-02.00.png +3 -0
  36. train/FloorPlan20/28/rgb_0_mask_Cabinet|-00.46|+02.27|-02.00.png +3 -0
  37. train/FloorPlan20/28/rgb_0_mask_Cabinet|-01.10|+02.02|-02.00.png +3 -0
  38. train/FloorPlan20/28/rgb_0_mask_Cabinet|-01.15|+02.02|-01.98.png +3 -0
  39. train/FloorPlan20/28/rgb_0_mask_Fridge|-01.50|+00.00|-00.70.png +3 -0
  40. train/FloorPlan20/28/rgb_0_mask_Microwave|-01.23|+00.90|-01.68.png +3 -0
  41. train/FloorPlan20/28/rgb_0_mask_Toaster|+00.78|+00.90|-02.08.png +3 -0
  42. train/FloorPlan20/28/rgb_1.png +3 -0
  43. train/FloorPlan20/28/rgb_1_mask_Cabinet|+00.20|+02.02|-02.00.png +3 -0
  44. train/FloorPlan20/28/rgb_1_mask_Cabinet|-00.46|+02.27|-02.00.png +3 -0
  45. train/FloorPlan20/28/rgb_1_mask_Cabinet|-01.10|+02.02|-02.00.png +3 -0
  46. train/FloorPlan20/28/rgb_1_mask_Cabinet|-01.15|+02.02|-01.98.png +3 -0
  47. train/FloorPlan20/28/rgb_1_mask_Fridge|-01.50|+00.00|-00.70.png +3 -0
  48. train/FloorPlan20/28/rgb_1_mask_Microwave|-01.23|+00.90|-01.68.png +3 -0
  49. train/FloorPlan20/28/rgb_1_mask_Sink|-00.11|+00.89|-02.01.png +3 -0
  50. train/FloorPlan20/28/rgb_1_mask_Toaster|+00.78|+00.90|-02.08.png +3 -0
.gitattributes CHANGED
@@ -18657,3 +18657,272 @@ train/FloorPlan20/19/rgb_1_mask_Cabinet|+01.75|+02.02|-01.03.png filter=lfs diff
18657
  train/FloorPlan20/19/rgb_0_mask_Cabinet|+01.72|+02.02|-02.00.png filter=lfs diff=lfs merge=lfs -text
18658
  train/FloorPlan20/19/rgb_1_mask_Cabinet|+01.39|+00.47|-01.06.png filter=lfs diff=lfs merge=lfs -text
18659
  train/FloorPlan20/28/rgb_1_mask_Cabinet|+01.18|+02.02|-02.00.png filter=lfs diff=lfs merge=lfs -text
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
18657
  train/FloorPlan20/19/rgb_0_mask_Cabinet|+01.72|+02.02|-02.00.png filter=lfs diff=lfs merge=lfs -text
18658
  train/FloorPlan20/19/rgb_1_mask_Cabinet|+01.39|+00.47|-01.06.png filter=lfs diff=lfs merge=lfs -text
18659
  train/FloorPlan20/28/rgb_1_mask_Cabinet|+01.18|+02.02|-02.00.png filter=lfs diff=lfs merge=lfs -text
18660
+ train/FloorPlan20/28/1_semantic_sensor_npy.npy filter=lfs diff=lfs merge=lfs -text
18661
+ train/FloorPlan20/28/rgb_1_mask_Fridge|-01.50|+00.00|-00.70.png filter=lfs diff=lfs merge=lfs -text
18662
+ train/FloorPlan20/28/rgb_1.png filter=lfs diff=lfs merge=lfs -text
18663
+ train/FloorPlan20/28/0_semantic_sensor_npy.npy filter=lfs diff=lfs merge=lfs -text
18664
+ train/FloorPlan20/28/rgb_0_mask_Cabinet|+00.20|+02.02|-02.00.png filter=lfs diff=lfs merge=lfs -text
18665
+ train/FloorPlan20/28/rgb_0_mask_Fridge|-01.50|+00.00|-00.70.png filter=lfs diff=lfs merge=lfs -text
18666
+ train/FloorPlan20/28/1_depth_npy.npy filter=lfs diff=lfs merge=lfs -text
18667
+ train/FloorPlan20/28/rgb_0_mask_Microwave|-01.23|+00.90|-01.68.png filter=lfs diff=lfs merge=lfs -text
18668
+ train/FloorPlan20/28/0_depth_npy.npy filter=lfs diff=lfs merge=lfs -text
18669
+ train/FloorPlan20/28/rgb_0_mask_Cabinet|-01.10|+02.02|-02.00.png filter=lfs diff=lfs merge=lfs -text
18670
+ train/FloorPlan20/28/rgb_1_mask_Cabinet|-01.15|+02.02|-01.98.png filter=lfs diff=lfs merge=lfs -text
18671
+ train/FloorPlan20/28/rgb_1_mask_Cabinet|+00.20|+02.02|-02.00.png filter=lfs diff=lfs merge=lfs -text
18672
+ train/FloorPlan20/28/rgb_0.png filter=lfs diff=lfs merge=lfs -text
18673
+ train/FloorPlan20/28/rgb_0_mask_Toaster|+00.78|+00.90|-02.08.png filter=lfs diff=lfs merge=lfs -text
18674
+ train/FloorPlan20/28/rgb_0_mask_Cabinet|-00.46|+02.27|-02.00.png filter=lfs diff=lfs merge=lfs -text
18675
+ train/FloorPlan20/28/rgb_0_mask_Cabinet|+01.18|+02.02|-02.00.png filter=lfs diff=lfs merge=lfs -text
18676
+ train/FloorPlan20/28/rgb_1_mask_Cabinet|-01.10|+02.02|-02.00.png filter=lfs diff=lfs merge=lfs -text
18677
+ train/FloorPlan20/28/rgb_1_mask_Sink|-00.11|+00.89|-02.01.png filter=lfs diff=lfs merge=lfs -text
18678
+ train/FloorPlan20/28/rgb_1_mask_Cabinet|-00.46|+02.27|-02.00.png filter=lfs diff=lfs merge=lfs -text
18679
+ train/FloorPlan20/28/rgb_0_mask_Cabinet|-01.15|+02.02|-01.98.png filter=lfs diff=lfs merge=lfs -text
18680
+ train/FloorPlan20/28/rgb_1_mask_Microwave|-01.23|+00.90|-01.68.png filter=lfs diff=lfs merge=lfs -text
18681
+ train/FloorPlan20/28/rgb_1_mask_Toaster|+00.78|+00.90|-02.08.png filter=lfs diff=lfs merge=lfs -text
18682
+ train/FloorPlan20/12/rgb_1_mask_Cabinet|+01.18|+02.02|-02.00.png filter=lfs diff=lfs merge=lfs -text
18683
+ train/FloorPlan20/12/1_semantic_sensor_npy.npy filter=lfs diff=lfs merge=lfs -text
18684
+ train/FloorPlan20/12/rgb_1.png filter=lfs diff=lfs merge=lfs -text
18685
+ train/FloorPlan20/12/0_semantic_sensor_npy.npy filter=lfs diff=lfs merge=lfs -text
18686
+ train/FloorPlan20/12/rgb_0_mask_Cabinet|+00.20|+02.02|-02.00.png filter=lfs diff=lfs merge=lfs -text
18687
+ train/FloorPlan20/12/1_depth_npy.npy filter=lfs diff=lfs merge=lfs -text
18688
+ train/FloorPlan20/12/rgb_1_mask_Bread|+00.40|+00.96|+00.11.png filter=lfs diff=lfs merge=lfs -text
18689
+ train/FloorPlan20/12/rgb_1_mask_Cabinet|+01.38|+00.47|-01.69.png filter=lfs diff=lfs merge=lfs -text
18690
+ train/FloorPlan20/12/0_depth_npy.npy filter=lfs diff=lfs merge=lfs -text
18691
+ train/FloorPlan20/12/rgb_1_mask_Cabinet|+00.20|+02.02|-02.00.png filter=lfs diff=lfs merge=lfs -text
18692
+ train/FloorPlan20/12/rgb_0.png filter=lfs diff=lfs merge=lfs -text
18693
+ train/FloorPlan20/12/rgb_0_mask_Toaster|+00.78|+00.90|-02.08.png filter=lfs diff=lfs merge=lfs -text
18694
+ train/FloorPlan20/12/rgb_0_mask_Cabinet|+01.18|+02.02|-02.00.png filter=lfs diff=lfs merge=lfs -text
18695
+ train/FloorPlan20/12/rgb_0_mask_Cabinet|+01.38|+00.47|-01.69.png filter=lfs diff=lfs merge=lfs -text
18696
+ train/FloorPlan20/12/rgb_1_mask_Toaster|+00.78|+00.90|-02.08.png filter=lfs diff=lfs merge=lfs -text
18697
+ train/train600/top_down_image.png filter=lfs diff=lfs merge=lfs -text
18698
+ train/train600/3/1_semantic_sensor_npy.npy filter=lfs diff=lfs merge=lfs -text
18699
+ train/train600/3/rgb_1.png filter=lfs diff=lfs merge=lfs -text
18700
+ train/train600/3/0_semantic_sensor_npy.npy filter=lfs diff=lfs merge=lfs -text
18701
+ train/train600/3/1_depth_npy.npy filter=lfs diff=lfs merge=lfs -text
18702
+ train/train600/3/0_depth_npy.npy filter=lfs diff=lfs merge=lfs -text
18703
+ train/train600/3/rgb_0.png filter=lfs diff=lfs merge=lfs -text
18704
+ train/train600/4/1_semantic_sensor_npy.npy filter=lfs diff=lfs merge=lfs -text
18705
+ train/train600/4/rgb_1.png filter=lfs diff=lfs merge=lfs -text
18706
+ train/train600/4/0_semantic_sensor_npy.npy filter=lfs diff=lfs merge=lfs -text
18707
+ train/train600/4/1_depth_npy.npy filter=lfs diff=lfs merge=lfs -text
18708
+ train/train600/4/0_depth_npy.npy filter=lfs diff=lfs merge=lfs -text
18709
+ train/train600/4/rgb_0.png filter=lfs diff=lfs merge=lfs -text
18710
+ train/train600/0/rgb_1_mask_Fridge|2|1.png filter=lfs diff=lfs merge=lfs -text
18711
+ train/train600/0/rgb_0_mask_Chair|4|1|1.png filter=lfs diff=lfs merge=lfs -text
18712
+ train/train600/0/1_semantic_sensor_npy.npy filter=lfs diff=lfs merge=lfs -text
18713
+ train/train600/0/rgb_1.png filter=lfs diff=lfs merge=lfs -text
18714
+ train/train600/0/0_semantic_sensor_npy.npy filter=lfs diff=lfs merge=lfs -text
18715
+ train/train600/0/rgb_1_mask_DiningTable|4|1|0.png filter=lfs diff=lfs merge=lfs -text
18716
+ train/train600/0/1_depth_npy.npy filter=lfs diff=lfs merge=lfs -text
18717
+ train/train600/0/rgb_1_mask_Chair|4|1|1.png filter=lfs diff=lfs merge=lfs -text
18718
+ train/train600/0/0_depth_npy.npy filter=lfs diff=lfs merge=lfs -text
18719
+ train/train600/0/rgb_0_mask_Fridge|2|1.png filter=lfs diff=lfs merge=lfs -text
18720
+ train/train600/0/rgb_0.png filter=lfs diff=lfs merge=lfs -text
18721
+ train/train600/1/1_semantic_sensor_npy.npy filter=lfs diff=lfs merge=lfs -text
18722
+ train/train600/1/rgb_1.png filter=lfs diff=lfs merge=lfs -text
18723
+ train/train600/1/0_semantic_sensor_npy.npy filter=lfs diff=lfs merge=lfs -text
18724
+ train/train600/1/1_depth_npy.npy filter=lfs diff=lfs merge=lfs -text
18725
+ train/train600/1/0_depth_npy.npy filter=lfs diff=lfs merge=lfs -text
18726
+ train/train600/1/rgb_0.png filter=lfs diff=lfs merge=lfs -text
18727
+ train/train600/2/1_semantic_sensor_npy.npy filter=lfs diff=lfs merge=lfs -text
18728
+ train/train600/2/rgb_1.png filter=lfs diff=lfs merge=lfs -text
18729
+ train/train600/2/0_semantic_sensor_npy.npy filter=lfs diff=lfs merge=lfs -text
18730
+ train/train600/2/1_depth_npy.npy filter=lfs diff=lfs merge=lfs -text
18731
+ train/train600/2/0_depth_npy.npy filter=lfs diff=lfs merge=lfs -text
18732
+ train/train600/2/rgb_0.png filter=lfs diff=lfs merge=lfs -text
18733
+ train/train180/top_down_image.png filter=lfs diff=lfs merge=lfs -text
18734
+ train/train180/3/1_semantic_sensor_npy.npy filter=lfs diff=lfs merge=lfs -text
18735
+ train/train180/3/rgb_1_mask_Television|2|4|2.png filter=lfs diff=lfs merge=lfs -text
18736
+ train/train180/3/rgb_1_mask_TVStand|2|4|0___5.png filter=lfs diff=lfs merge=lfs -text
18737
+ train/train180/3/rgb_1.png filter=lfs diff=lfs merge=lfs -text
18738
+ train/train180/3/0_semantic_sensor_npy.npy filter=lfs diff=lfs merge=lfs -text
18739
+ train/train180/3/rgb_0_mask_Painting|2|5.png filter=lfs diff=lfs merge=lfs -text
18740
+ train/train180/3/rgb_0_mask_TVStand|2|4|0___5.png filter=lfs diff=lfs merge=lfs -text
18741
+ train/train180/3/1_depth_npy.npy filter=lfs diff=lfs merge=lfs -text
18742
+ train/train180/3/0_depth_npy.npy filter=lfs diff=lfs merge=lfs -text
18743
+ train/train180/3/rgb_0.png filter=lfs diff=lfs merge=lfs -text
18744
+ train/train180/3/rgb_1_mask_Painting|2|5.png filter=lfs diff=lfs merge=lfs -text
18745
+ train/train180/3/rgb_0_mask_Television|2|4|2.png filter=lfs diff=lfs merge=lfs -text
18746
+ train/train180/4/1_semantic_sensor_npy.npy filter=lfs diff=lfs merge=lfs -text
18747
+ train/train180/4/rgb_1_mask_Television|2|4|2.png filter=lfs diff=lfs merge=lfs -text
18748
+ train/train180/4/rgb_1.png filter=lfs diff=lfs merge=lfs -text
18749
+ train/train180/4/0_semantic_sensor_npy.npy filter=lfs diff=lfs merge=lfs -text
18750
+ train/train180/4/rgb_0_mask_Painting|2|5.png filter=lfs diff=lfs merge=lfs -text
18751
+ train/train180/4/1_depth_npy.npy filter=lfs diff=lfs merge=lfs -text
18752
+ train/train180/4/0_depth_npy.npy filter=lfs diff=lfs merge=lfs -text
18753
+ train/train180/4/rgb_0.png filter=lfs diff=lfs merge=lfs -text
18754
+ train/train180/4/rgb_1_mask_Painting|2|5.png filter=lfs diff=lfs merge=lfs -text
18755
+ train/train180/4/rgb_1_mask_DiningTable|2|2|0.png filter=lfs diff=lfs merge=lfs -text
18756
+ train/train180/4/rgb_0_mask_Television|2|4|2.png filter=lfs diff=lfs merge=lfs -text
18757
+ train/train180/0/1_semantic_sensor_npy.npy filter=lfs diff=lfs merge=lfs -text
18758
+ train/train180/0/rgb_1_mask_Television|2|4|2.png filter=lfs diff=lfs merge=lfs -text
18759
+ train/train180/0/rgb_1.png filter=lfs diff=lfs merge=lfs -text
18760
+ train/train180/0/0_semantic_sensor_npy.npy filter=lfs diff=lfs merge=lfs -text
18761
+ train/train180/0/rgb_0_mask_Painting|2|5.png filter=lfs diff=lfs merge=lfs -text
18762
+ train/train180/0/rgb_0_mask_TVStand|2|4|0___5.png filter=lfs diff=lfs merge=lfs -text
18763
+ train/train180/0/1_depth_npy.npy filter=lfs diff=lfs merge=lfs -text
18764
+ train/train180/0/0_depth_npy.npy filter=lfs diff=lfs merge=lfs -text
18765
+ train/train180/0/rgb_0.png filter=lfs diff=lfs merge=lfs -text
18766
+ train/train180/0/rgb_1_mask_Painting|2|5.png filter=lfs diff=lfs merge=lfs -text
18767
+ train/train180/0/rgb_0_mask_Television|2|4|2.png filter=lfs diff=lfs merge=lfs -text
18768
+ train/train180/1/1_semantic_sensor_npy.npy filter=lfs diff=lfs merge=lfs -text
18769
+ train/train180/1/rgb_1_mask_Television|2|4|2.png filter=lfs diff=lfs merge=lfs -text
18770
+ train/train180/1/rgb_1.png filter=lfs diff=lfs merge=lfs -text
18771
+ train/train180/1/0_semantic_sensor_npy.npy filter=lfs diff=lfs merge=lfs -text
18772
+ train/train180/1/rgb_0_mask_Painting|2|5.png filter=lfs diff=lfs merge=lfs -text
18773
+ train/train180/1/1_depth_npy.npy filter=lfs diff=lfs merge=lfs -text
18774
+ train/train180/1/0_depth_npy.npy filter=lfs diff=lfs merge=lfs -text
18775
+ train/train180/1/rgb_0.png filter=lfs diff=lfs merge=lfs -text
18776
+ train/train180/1/rgb_1_mask_Painting|2|5.png filter=lfs diff=lfs merge=lfs -text
18777
+ train/train180/2/1_semantic_sensor_npy.npy filter=lfs diff=lfs merge=lfs -text
18778
+ train/train180/2/rgb_1.png filter=lfs diff=lfs merge=lfs -text
18779
+ train/train180/2/0_semantic_sensor_npy.npy filter=lfs diff=lfs merge=lfs -text
18780
+ train/train180/2/1_depth_npy.npy filter=lfs diff=lfs merge=lfs -text
18781
+ train/train180/2/0_depth_npy.npy filter=lfs diff=lfs merge=lfs -text
18782
+ train/train180/2/rgb_0.png filter=lfs diff=lfs merge=lfs -text
18783
+ train/train1072/top_down_image.png filter=lfs diff=lfs merge=lfs -text
18784
+ train/train1072/3/1_semantic_sensor_npy.npy filter=lfs diff=lfs merge=lfs -text
18785
+ train/train1072/3/rgb_1.png filter=lfs diff=lfs merge=lfs -text
18786
+ train/train1072/3/0_semantic_sensor_npy.npy filter=lfs diff=lfs merge=lfs -text
18787
+ train/train1072/3/1_depth_npy.npy filter=lfs diff=lfs merge=lfs -text
18788
+ train/train1072/3/0_depth_npy.npy filter=lfs diff=lfs merge=lfs -text
18789
+ train/train1072/3/rgb_0.png filter=lfs diff=lfs merge=lfs -text
18790
+ train/train1072/4/1_semantic_sensor_npy.npy filter=lfs diff=lfs merge=lfs -text
18791
+ train/train1072/4/rgb_1.png filter=lfs diff=lfs merge=lfs -text
18792
+ train/train1072/4/0_semantic_sensor_npy.npy filter=lfs diff=lfs merge=lfs -text
18793
+ train/train1072/4/1_depth_npy.npy filter=lfs diff=lfs merge=lfs -text
18794
+ train/train1072/4/0_depth_npy.npy filter=lfs diff=lfs merge=lfs -text
18795
+ train/train1072/4/rgb_0.png filter=lfs diff=lfs merge=lfs -text
18796
+ train/train1072/0/rgb_1_mask_Fridge|2|1.png filter=lfs diff=lfs merge=lfs -text
18797
+ train/train1072/0/rgb_0_mask_Chair|4|1|1.png filter=lfs diff=lfs merge=lfs -text
18798
+ train/train1072/0/1_semantic_sensor_npy.npy filter=lfs diff=lfs merge=lfs -text
18799
+ train/train1072/0/rgb_1.png filter=lfs diff=lfs merge=lfs -text
18800
+ train/train1072/0/0_semantic_sensor_npy.npy filter=lfs diff=lfs merge=lfs -text
18801
+ train/train1072/0/rgb_1_mask_DiningTable|4|1|0.png filter=lfs diff=lfs merge=lfs -text
18802
+ train/train1072/0/1_depth_npy.npy filter=lfs diff=lfs merge=lfs -text
18803
+ train/train1072/0/rgb_1_mask_Chair|4|1|1.png filter=lfs diff=lfs merge=lfs -text
18804
+ train/train1072/0/0_depth_npy.npy filter=lfs diff=lfs merge=lfs -text
18805
+ train/train1072/0/rgb_0_mask_Fridge|2|1.png filter=lfs diff=lfs merge=lfs -text
18806
+ train/train1072/0/rgb_0.png filter=lfs diff=lfs merge=lfs -text
18807
+ train/train1072/1/1_semantic_sensor_npy.npy filter=lfs diff=lfs merge=lfs -text
18808
+ train/train1072/1/rgb_1.png filter=lfs diff=lfs merge=lfs -text
18809
+ train/train1072/1/0_semantic_sensor_npy.npy filter=lfs diff=lfs merge=lfs -text
18810
+ train/train1072/1/1_depth_npy.npy filter=lfs diff=lfs merge=lfs -text
18811
+ train/train1072/1/0_depth_npy.npy filter=lfs diff=lfs merge=lfs -text
18812
+ train/train1072/1/rgb_0.png filter=lfs diff=lfs merge=lfs -text
18813
+ train/train1072/2/1_semantic_sensor_npy.npy filter=lfs diff=lfs merge=lfs -text
18814
+ train/train1072/2/rgb_1.png filter=lfs diff=lfs merge=lfs -text
18815
+ train/train1072/2/0_semantic_sensor_npy.npy filter=lfs diff=lfs merge=lfs -text
18816
+ train/train1072/2/1_depth_npy.npy filter=lfs diff=lfs merge=lfs -text
18817
+ train/train1072/2/0_depth_npy.npy filter=lfs diff=lfs merge=lfs -text
18818
+ train/train1072/2/rgb_0.png filter=lfs diff=lfs merge=lfs -text
18819
+ train/train838/top_down_image.png filter=lfs diff=lfs merge=lfs -text
18820
+ train/train838/3/1_semantic_sensor_npy.npy filter=lfs diff=lfs merge=lfs -text
18821
+ train/train838/3/rgb_1.png filter=lfs diff=lfs merge=lfs -text
18822
+ train/train838/3/0_semantic_sensor_npy.npy filter=lfs diff=lfs merge=lfs -text
18823
+ train/train838/3/1_depth_npy.npy filter=lfs diff=lfs merge=lfs -text
18824
+ train/train838/3/0_depth_npy.npy filter=lfs diff=lfs merge=lfs -text
18825
+ train/train838/3/rgb_0.png filter=lfs diff=lfs merge=lfs -text
18826
+ train/train838/4/1_semantic_sensor_npy.npy filter=lfs diff=lfs merge=lfs -text
18827
+ train/train838/4/rgb_1.png filter=lfs diff=lfs merge=lfs -text
18828
+ train/train838/4/0_semantic_sensor_npy.npy filter=lfs diff=lfs merge=lfs -text
18829
+ train/train838/4/1_depth_npy.npy filter=lfs diff=lfs merge=lfs -text
18830
+ train/train838/4/0_depth_npy.npy filter=lfs diff=lfs merge=lfs -text
18831
+ train/train838/4/rgb_0.png filter=lfs diff=lfs merge=lfs -text
18832
+ train/train838/0/rgb_1_mask_Fridge|2|1.png filter=lfs diff=lfs merge=lfs -text
18833
+ train/train838/0/rgb_0_mask_Chair|4|1|1.png filter=lfs diff=lfs merge=lfs -text
18834
+ train/train838/0/1_semantic_sensor_npy.npy filter=lfs diff=lfs merge=lfs -text
18835
+ train/train838/0/rgb_1.png filter=lfs diff=lfs merge=lfs -text
18836
+ train/train838/0/0_semantic_sensor_npy.npy filter=lfs diff=lfs merge=lfs -text
18837
+ train/train838/0/rgb_1_mask_DiningTable|4|1|0.png filter=lfs diff=lfs merge=lfs -text
18838
+ train/train838/0/1_depth_npy.npy filter=lfs diff=lfs merge=lfs -text
18839
+ train/train838/0/rgb_1_mask_Chair|4|1|1.png filter=lfs diff=lfs merge=lfs -text
18840
+ train/train838/0/0_depth_npy.npy filter=lfs diff=lfs merge=lfs -text
18841
+ train/train838/0/rgb_0_mask_Fridge|2|1.png filter=lfs diff=lfs merge=lfs -text
18842
+ train/train838/0/rgb_0.png filter=lfs diff=lfs merge=lfs -text
18843
+ train/train838/1/1_semantic_sensor_npy.npy filter=lfs diff=lfs merge=lfs -text
18844
+ train/train838/1/rgb_1.png filter=lfs diff=lfs merge=lfs -text
18845
+ train/train838/1/0_semantic_sensor_npy.npy filter=lfs diff=lfs merge=lfs -text
18846
+ train/train838/1/1_depth_npy.npy filter=lfs diff=lfs merge=lfs -text
18847
+ train/train838/1/0_depth_npy.npy filter=lfs diff=lfs merge=lfs -text
18848
+ train/train838/1/rgb_0.png filter=lfs diff=lfs merge=lfs -text
18849
+ train/train838/2/1_semantic_sensor_npy.npy filter=lfs diff=lfs merge=lfs -text
18850
+ train/train838/2/rgb_1.png filter=lfs diff=lfs merge=lfs -text
18851
+ train/train838/2/0_semantic_sensor_npy.npy filter=lfs diff=lfs merge=lfs -text
18852
+ train/train838/2/1_depth_npy.npy filter=lfs diff=lfs merge=lfs -text
18853
+ train/train838/2/0_depth_npy.npy filter=lfs diff=lfs merge=lfs -text
18854
+ train/train838/2/rgb_0.png filter=lfs diff=lfs merge=lfs -text
18855
+ train/train659/top_down_image.png filter=lfs diff=lfs merge=lfs -text
18856
+ train/train659/3/1_semantic_sensor_npy.npy filter=lfs diff=lfs merge=lfs -text
18857
+ train/train659/3/rgb_1.png filter=lfs diff=lfs merge=lfs -text
18858
+ train/train659/3/0_semantic_sensor_npy.npy filter=lfs diff=lfs merge=lfs -text
18859
+ train/train659/3/1_depth_npy.npy filter=lfs diff=lfs merge=lfs -text
18860
+ train/train659/3/0_depth_npy.npy filter=lfs diff=lfs merge=lfs -text
18861
+ train/train659/3/rgb_0.png filter=lfs diff=lfs merge=lfs -text
18862
+ train/train659/4/1_semantic_sensor_npy.npy filter=lfs diff=lfs merge=lfs -text
18863
+ train/train659/4/rgb_1.png filter=lfs diff=lfs merge=lfs -text
18864
+ train/train659/4/0_semantic_sensor_npy.npy filter=lfs diff=lfs merge=lfs -text
18865
+ train/train659/4/1_depth_npy.npy filter=lfs diff=lfs merge=lfs -text
18866
+ train/train659/4/0_depth_npy.npy filter=lfs diff=lfs merge=lfs -text
18867
+ train/train659/4/rgb_0.png filter=lfs diff=lfs merge=lfs -text
18868
+ train/train659/0/rgb_1_mask_Fridge|2|1.png filter=lfs diff=lfs merge=lfs -text
18869
+ train/train659/0/rgb_0_mask_Chair|4|1|1.png filter=lfs diff=lfs merge=lfs -text
18870
+ train/train659/0/1_semantic_sensor_npy.npy filter=lfs diff=lfs merge=lfs -text
18871
+ train/train659/0/rgb_1.png filter=lfs diff=lfs merge=lfs -text
18872
+ train/train659/0/0_semantic_sensor_npy.npy filter=lfs diff=lfs merge=lfs -text
18873
+ train/train659/0/rgb_1_mask_DiningTable|4|1|0.png filter=lfs diff=lfs merge=lfs -text
18874
+ train/train659/0/1_depth_npy.npy filter=lfs diff=lfs merge=lfs -text
18875
+ train/train659/0/rgb_1_mask_Chair|4|1|1.png filter=lfs diff=lfs merge=lfs -text
18876
+ train/train659/0/0_depth_npy.npy filter=lfs diff=lfs merge=lfs -text
18877
+ train/train659/0/rgb_0_mask_Fridge|2|1.png filter=lfs diff=lfs merge=lfs -text
18878
+ train/train659/0/rgb_0.png filter=lfs diff=lfs merge=lfs -text
18879
+ train/train2001/3/1_semantic_sensor_npy.npy filter=lfs diff=lfs merge=lfs -text
18880
+ train/train2001/3/rgb_1.png filter=lfs diff=lfs merge=lfs -text
18881
+ train/train2001/3/0_semantic_sensor_npy.npy filter=lfs diff=lfs merge=lfs -text
18882
+ train/train2001/3/1_depth_npy.npy filter=lfs diff=lfs merge=lfs -text
18883
+ train/train2001/3/0_depth_npy.npy filter=lfs diff=lfs merge=lfs -text
18884
+ train/train2001/3/rgb_0.png filter=lfs diff=lfs merge=lfs -text
18885
+ train/train2001/3/rgb_1_mask_Sofa|3|2.png filter=lfs diff=lfs merge=lfs -text
18886
+ train/train2001/3/rgb_1_mask_DiningTable|3|1.png filter=lfs diff=lfs merge=lfs -text
18887
+ train/train2001/4/rgb_1_mask_TVStand|3|0|0___4.png filter=lfs diff=lfs merge=lfs -text
18888
+ train/train2001/4/rgb_0_mask_Television|3|0|1.png filter=lfs diff=lfs merge=lfs -text
18889
+ train/train2001/4/1_semantic_sensor_npy.npy filter=lfs diff=lfs merge=lfs -text
18890
+ train/train2001/4/rgb_1_mask_Television|3|0|1.png filter=lfs diff=lfs merge=lfs -text
18891
+ train/train2001/4/rgb_1.png filter=lfs diff=lfs merge=lfs -text
18892
+ train/train2001/4/rgb_1_mask_TVStand|3|0|0___5.png filter=lfs diff=lfs merge=lfs -text
18893
+ train/train2001/4/0_semantic_sensor_npy.npy filter=lfs diff=lfs merge=lfs -text
18894
+ train/train2001/4/1_depth_npy.npy filter=lfs diff=lfs merge=lfs -text
18895
+ train/train2001/4/0_depth_npy.npy filter=lfs diff=lfs merge=lfs -text
18896
+ train/train2001/4/rgb_0_mask_TVStand|3|0|0___3.png filter=lfs diff=lfs merge=lfs -text
18897
+ train/train2001/4/rgb_0.png filter=lfs diff=lfs merge=lfs -text
18898
+ train/train2001/4/rgb_0_mask_TVStand|3|0|0___5.png filter=lfs diff=lfs merge=lfs -text
18899
+ train/train2001/4/rgb_0_mask_TVStand|3|0|0___4.png filter=lfs diff=lfs merge=lfs -text
18900
+ train/train2001/4/rgb_1_mask_TVStand|3|0|0___3.png filter=lfs diff=lfs merge=lfs -text
18901
+ train/train2001/0/1_semantic_sensor_npy.npy filter=lfs diff=lfs merge=lfs -text
18902
+ train/train2001/0/rgb_1.png filter=lfs diff=lfs merge=lfs -text
18903
+ train/train2001/0/0_semantic_sensor_npy.npy filter=lfs diff=lfs merge=lfs -text
18904
+ train/train2001/0/rgb_1_mask_Book|surface|3|11.png filter=lfs diff=lfs merge=lfs -text
18905
+ train/train2001/0/1_depth_npy.npy filter=lfs diff=lfs merge=lfs -text
18906
+ train/train2001/0/0_depth_npy.npy filter=lfs diff=lfs merge=lfs -text
18907
+ train/train2001/0/rgb_0.png filter=lfs diff=lfs merge=lfs -text
18908
+ train/train2001/0/rgb_0_mask_Book|surface|3|11.png filter=lfs diff=lfs merge=lfs -text
18909
+ train/train2001/1/1_semantic_sensor_npy.npy filter=lfs diff=lfs merge=lfs -text
18910
+ train/train2001/1/rgb_1.png filter=lfs diff=lfs merge=lfs -text
18911
+ train/train2001/1/0_semantic_sensor_npy.npy filter=lfs diff=lfs merge=lfs -text
18912
+ train/train2001/1/rgb_1_mask_Book|surface|3|11.png filter=lfs diff=lfs merge=lfs -text
18913
+ train/train2001/1/1_depth_npy.npy filter=lfs diff=lfs merge=lfs -text
18914
+ train/train2001/1/0_depth_npy.npy filter=lfs diff=lfs merge=lfs -text
18915
+ train/train2001/1/rgb_0.png filter=lfs diff=lfs merge=lfs -text
18916
+ train/train2001/1/rgb_0_mask_Book|surface|3|11.png filter=lfs diff=lfs merge=lfs -text
18917
+ train/train2001/2/rgb_1_mask_TVStand|3|0|0___4.png filter=lfs diff=lfs merge=lfs -text
18918
+ train/train2001/2/rgb_0_mask_Television|3|0|1.png filter=lfs diff=lfs merge=lfs -text
18919
+ train/train2001/2/1_semantic_sensor_npy.npy filter=lfs diff=lfs merge=lfs -text
18920
+ train/train2001/2/rgb_1_mask_Television|3|0|1.png filter=lfs diff=lfs merge=lfs -text
18921
+ train/train2001/2/rgb_1.png filter=lfs diff=lfs merge=lfs -text
18922
+ train/train2001/2/rgb_1_mask_TVStand|3|0|0___5.png filter=lfs diff=lfs merge=lfs -text
18923
+ train/train2001/2/0_semantic_sensor_npy.npy filter=lfs diff=lfs merge=lfs -text
18924
+ train/train2001/2/1_depth_npy.npy filter=lfs diff=lfs merge=lfs -text
18925
+ train/train2001/2/0_depth_npy.npy filter=lfs diff=lfs merge=lfs -text
18926
+ train/train2001/2/rgb_0_mask_TVStand|3|0|0___3.png filter=lfs diff=lfs merge=lfs -text
18927
+ train/train2001/2/rgb_0.png filter=lfs diff=lfs merge=lfs -text
18928
+ train/train2001/2/rgb_0_mask_TVStand|3|0|0___5.png filter=lfs diff=lfs merge=lfs -text
train/FloorPlan20/12/0.json ADDED
The diff for this file is too large to render. See raw diff
 
train/FloorPlan20/12/0_depth_npy.npy ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:11544582253ddaea8fac7eb22ff0d7512c304f4e0a1f9e8cae81b75d1256bc1d
3
+ size 3145856
train/FloorPlan20/12/0_semantic_sensor_npy.npy ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:d7c697765a3712fedf026132466a384f845ee8fe2e63e5fe669144c5038bee52
3
+ size 2359424
train/FloorPlan20/12/1.json ADDED
The diff for this file is too large to render. See raw diff
 
train/FloorPlan20/12/1_depth_npy.npy ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:4b46a5a90c02c414f8e747d2e979f80f4918fde46879ae9595e3a7ac790f430e
3
+ size 3145856
train/FloorPlan20/12/1_semantic_sensor_npy.npy ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:fe03ea20052e439d6a81c8c76dfead68362a3668a34366342dfd9abb51fd925e
3
+ size 2359424
train/FloorPlan20/12/depth_0.png ADDED
train/FloorPlan20/12/depth_1.png ADDED
train/FloorPlan20/12/mask_questions.jsonl ADDED
@@ -0,0 +1,9 @@
 
 
 
 
 
 
 
 
 
 
1
+ {"id": 12510, "folder_dir": "FloorPlan20/12", "pair_name": "0-1:Cabinet|+00.20|+02.02|-02.00", "query": "Please combine the information from the two images and answer the following question:\nWhat is the object being masked in the second image?\nNote: The masked region is indicated by the black rectangle outlined in red in the second image.\nChoose the correct option from the list below. Only respond with the corresponding letter.\n\nA. Bread\nB. Cabinet\nC. StoveBurner\nD. Pan", "answer": "B", "object_name": "Cabinet", "image_1": "FloorPlan20/12/rgb_0.png", "image_2": "FloorPlan20/12/rgb_1.png", "mask_image": "FloorPlan20/12/rgb_1_mask_Cabinet|+00.20|+02.02|-02.00.png", "options": ["Bread", "Cabinet", "StoveBurner", "Pan"]}
2
+ {"id": 12511, "folder_dir": "FloorPlan20/12", "pair_name": "0-1:Bread|+00.40|+00.96|+00.11", "query": "Please combine the information from the two images and answer the following question:\nWhat is the object being masked in the second image?\nNote: The masked region is indicated by the black rectangle outlined in red in the second image.\nChoose the correct option from the list below. Only respond with the corresponding letter.\n\nA. PepperShaker\nB. Cabinet\nC. Bread\nD. WineBottle", "answer": "C", "object_name": "Bread", "image_1": "FloorPlan20/12/rgb_0.png", "image_2": "FloorPlan20/12/rgb_1.png", "mask_image": "FloorPlan20/12/rgb_1_mask_Bread|+00.40|+00.96|+00.11.png", "options": ["PepperShaker", "Cabinet", "Bread", "WineBottle"]}
3
+ {"id": 12512, "folder_dir": "FloorPlan20/12", "pair_name": "0-1:Toaster|+00.78|+00.90|-02.08", "query": "Please combine the information from the two images and answer the following question:\nWhat is the object being masked in the second image?\nNote: The masked region is indicated by the black rectangle outlined in red in the second image.\nChoose the correct option from the list below. Only respond with the corresponding letter.\n\nA. GarbageCan\nB. Bowl\nC. Cabinet\nD. Toaster", "answer": "D", "object_name": "Toaster", "image_1": "FloorPlan20/12/rgb_0.png", "image_2": "FloorPlan20/12/rgb_1.png", "mask_image": "FloorPlan20/12/rgb_1_mask_Toaster|+00.78|+00.90|-02.08.png", "options": ["GarbageCan", "Bowl", "Cabinet", "Toaster"]}
4
+ {"id": 12513, "folder_dir": "FloorPlan20/12", "pair_name": "0-1:Cabinet|+01.18|+02.02|-02.00", "query": "Please combine the information from the two images and answer the following question:\nWhat is the object being masked in the second image?\nNote: The masked region is indicated by the black rectangle outlined in red in the second image.\nChoose the correct option from the list below. Only respond with the corresponding letter.\n\nA. Window\nB. Cabinet\nC. Cabinet\nD. StoveBurner", "answer": "B", "object_name": "Cabinet", "image_1": "FloorPlan20/12/rgb_0.png", "image_2": "FloorPlan20/12/rgb_1.png", "mask_image": "FloorPlan20/12/rgb_1_mask_Cabinet|+01.18|+02.02|-02.00.png", "options": ["Window", "Cabinet", "Cabinet", "StoveBurner"]}
5
+ {"id": 12514, "folder_dir": "FloorPlan20/12", "pair_name": "0-1:Cabinet|+01.38|+00.47|-01.69", "query": "Please combine the information from the two images and answer the following question:\nWhat is the object being masked in the second image?\nNote: The masked region is indicated by the black rectangle outlined in red in the second image.\nChoose the correct option from the list below. Only respond with the corresponding letter.\n\nA. Pan\nB. Cabinet\nC. GarbageCan\nD. Cabinet", "answer": "B", "object_name": "Cabinet", "image_1": "FloorPlan20/12/rgb_0.png", "image_2": "FloorPlan20/12/rgb_1.png", "mask_image": "FloorPlan20/12/rgb_1_mask_Cabinet|+01.38|+00.47|-01.69.png", "options": ["Pan", "Cabinet", "GarbageCan", "Cabinet"]}
6
+ {"id": 12515, "folder_dir": "FloorPlan20/12", "pair_name": "1-0:Cabinet|+00.20|+02.02|-02.00", "query": "Please combine the information from the two images and answer the following question:\nWhat is the object being masked in the second image?\nNote: The masked region is indicated by the black rectangle outlined in red in the second image.\nChoose the correct option from the list below. Only respond with the corresponding letter.\n\nA. Ladle\nB. ButterKnife\nC. Cabinet\nD. Bread", "answer": "C", "object_name": "Cabinet", "image_1": "FloorPlan20/12/rgb_1.png", "image_2": "FloorPlan20/12/rgb_0.png", "mask_image": "FloorPlan20/12/rgb_0_mask_Cabinet|+00.20|+02.02|-02.00.png", "options": ["Ladle", "ButterKnife", "Cabinet", "Bread"]}
7
+ {"id": 12516, "folder_dir": "FloorPlan20/12", "pair_name": "1-0:Toaster|+00.78|+00.90|-02.08", "query": "Please combine the information from the two images and answer the following question:\nWhat is the object being masked in the second image?\nNote: The masked region is indicated by the black rectangle outlined in red in the second image.\nChoose the correct option from the list below. Only respond with the corresponding letter.\n\nA. Plate\nB. Cabinet\nC. SoapBottle\nD. Toaster", "answer": "D", "object_name": "Toaster", "image_1": "FloorPlan20/12/rgb_1.png", "image_2": "FloorPlan20/12/rgb_0.png", "mask_image": "FloorPlan20/12/rgb_0_mask_Toaster|+00.78|+00.90|-02.08.png", "options": ["Plate", "Cabinet", "SoapBottle", "Toaster"]}
8
+ {"id": 12517, "folder_dir": "FloorPlan20/12", "pair_name": "1-0:Cabinet|+01.18|+02.02|-02.00", "query": "Please combine the information from the two images and answer the following question:\nWhat is the object being masked in the second image?\nNote: The masked region is indicated by the black rectangle outlined in red in the second image.\nChoose the correct option from the list below. Only respond with the corresponding letter.\n\nA. Potato\nB. Cabinet\nC. ButterKnife\nD. Cabinet", "answer": "B", "object_name": "Cabinet", "image_1": "FloorPlan20/12/rgb_1.png", "image_2": "FloorPlan20/12/rgb_0.png", "mask_image": "FloorPlan20/12/rgb_0_mask_Cabinet|+01.18|+02.02|-02.00.png", "options": ["Potato", "Cabinet", "ButterKnife", "Cabinet"]}
9
+ {"id": 12518, "folder_dir": "FloorPlan20/12", "pair_name": "1-0:Cabinet|+01.38|+00.47|-01.69", "query": "Please combine the information from the two images and answer the following question:\nWhat is the object being masked in the second image?\nNote: The masked region is indicated by the black rectangle outlined in red in the second image.\nChoose the correct option from the list below. Only respond with the corresponding letter.\n\nA. Cabinet\nB. Ladle\nC. Faucet\nD. Cabinet", "answer": "A", "object_name": "Cabinet", "image_1": "FloorPlan20/12/rgb_1.png", "image_2": "FloorPlan20/12/rgb_0.png", "mask_image": "FloorPlan20/12/rgb_0_mask_Cabinet|+01.38|+00.47|-01.69.png", "options": ["Cabinet", "Ladle", "Faucet", "Cabinet"]}
train/FloorPlan20/12/questions_distance.jsonl ADDED
@@ -0,0 +1,2 @@
 
 
 
1
+ {"id": 3767, "folder_dir": "FloorPlan20/12", "query": "Which of the following objects is closest to DiningTable in the two images? (Note: Use the distance between centroids to determine closeness.) \nChoose the correct option from the list below. Only respond with the corresponding letter.\n\nA. Stool\nB. Plate\nC. Tomato\nD. Other\n", "answer": "C", "src_object": "DiningTable", "target_object": "Tomato", "question": "Which of the following objects is closest to DiningTable in the two images? (Note: Use the distance between centroids to determine closeness.) \nChoose the correct option from the list below. Only respond with the corresponding letter.", "options": [{"text": "Stool", "semantic_id": "Stool|-00.55|+00.00|+00.87", "distance": 0.7557473872474122, "com": {"x": -0.5498356819152832, "y": 0.3782539963722229, "z": 0.8720800876617432}}, {"text": "Plate", "semantic_id": "Plate|+00.48|+00.92|+01.08", "distance": 0.6869079033251473, "com": {"x": 0.4805223047733307, "y": 0.9282658100128174, "z": 1.0772535800933838}}, {"text": "Tomato", "semantic_id": "Tomato|+00.38|+00.97|+00.72", "distance": 0.552930711328403, "com": {"x": 0.38047054409980774, "y": 0.9707514047622681, "z": 0.7221632599830627}}, {"text": "Other", "semantic_id": -1, "distance": -1, "com": [0, 0, 0]}], "image_1": "FloorPlan20/12/rgb_0.png", "image_2": "FloorPlan20/12/rgb_1.png"}
2
+ {"id": 3768, "folder_dir": "FloorPlan20/12", "query": "Which of the following objects is closest to CounterTop in the two images? (Note: Use the distance between centroids to determine closeness.) \nChoose the correct option from the list below. Only respond with the corresponding letter.\n\nA. Fork\nB. Spoon\nC. SoapBottle\nD. Other\n", "answer": "A", "src_object": "CounterTop", "target_object": "Fork", "question": "Which of the following objects is closest to CounterTop in the two images? (Note: Use the distance between centroids to determine closeness.) \nChoose the correct option from the list below. Only respond with the corresponding letter.", "options": [{"text": "Fork", "semantic_id": "Fork|+00.45|+00.90|-01.89", "distance": 0.291401729797298, "com": {"x": 0.4547417461872101, "y": 0.9101133346557617, "z": -1.9090890884399414}}, {"text": "Spoon", "semantic_id": "Spoon|+00.38|+00.90|-01.97", "distance": 0.3291674459751576, "com": {"x": 0.3763842284679413, "y": 0.9093663096427917, "z": -1.9823482036590576}}, {"text": "SoapBottle", "semantic_id": "SoapBottle|+00.32|+00.90|-02.14", "distance": 0.4878797265745436, "com": {"x": 0.3199998140335083, "y": 1.0166330337524414, "z": -2.138000249862671}}, {"text": "Other", "semantic_id": -1, "distance": -1, "com": [0, 0, 0]}], "image_1": "FloorPlan20/12/rgb_0.png", "image_2": "FloorPlan20/12/rgb_1.png"}
train/FloorPlan20/12/rgb_0.png ADDED

Git LFS Details

  • SHA256: 71dd1b21d28e33fd3221ff154c15b4e3dd9196e37e2727430fd479cdd78a6179
  • Pointer size: 131 Bytes
  • Size of remote file: 830 kB
train/FloorPlan20/12/rgb_0_mask_Cabinet|+00.20|+02.02|-02.00.png ADDED

Git LFS Details

  • SHA256: 48248ccf3a78fff990a6a180bdc3df91dcbb39ffc42459e6bc7fad2c415e1bfd
  • Pointer size: 131 Bytes
  • Size of remote file: 710 kB
train/FloorPlan20/12/rgb_0_mask_Cabinet|+01.18|+02.02|-02.00.png ADDED

Git LFS Details

  • SHA256: c4062f37d5075980b65f647c49508baf9a58e2d68ead221e6a9628da41ce5cde
  • Pointer size: 131 Bytes
  • Size of remote file: 717 kB
train/FloorPlan20/12/rgb_0_mask_Cabinet|+01.38|+00.47|-01.69.png ADDED

Git LFS Details

  • SHA256: 4a18a0e86aa1b7a2916fdae7d5a211daec06bb1b77e9c645890b629a3f6ba641
  • Pointer size: 131 Bytes
  • Size of remote file: 724 kB
train/FloorPlan20/12/rgb_0_mask_Toaster|+00.78|+00.90|-02.08.png ADDED

Git LFS Details

  • SHA256: 35bcd4b11a9e711cc99763d005a19bf355a23f98110b66265183e4dadb717df9
  • Pointer size: 131 Bytes
  • Size of remote file: 720 kB
train/FloorPlan20/12/rgb_1.png ADDED

Git LFS Details

  • SHA256: 9a6a7cf59f5a599f4762d3cc1278d43851457c59b5236871f41bce491df511e4
  • Pointer size: 131 Bytes
  • Size of remote file: 886 kB
train/FloorPlan20/12/rgb_1_mask_Bread|+00.40|+00.96|+00.11.png ADDED

Git LFS Details

  • SHA256: e23b365fc41fa3b703c5e29bfe8c9a5db3fd55bc3cf62579dce4c7ac43d9f244
  • Pointer size: 131 Bytes
  • Size of remote file: 777 kB
train/FloorPlan20/12/rgb_1_mask_Cabinet|+00.20|+02.02|-02.00.png ADDED

Git LFS Details

  • SHA256: 8a4e10bf70a9df784a4a3f8a9aef25fc141b9116640a26b9383eeb8b721368db
  • Pointer size: 131 Bytes
  • Size of remote file: 774 kB
train/FloorPlan20/12/rgb_1_mask_Cabinet|+01.18|+02.02|-02.00.png ADDED

Git LFS Details

  • SHA256: 6f9c34435f9e7dbeecd868f95c7e825089ba02298e9b49e64cb749d09a86e09a
  • Pointer size: 131 Bytes
  • Size of remote file: 772 kB
train/FloorPlan20/12/rgb_1_mask_Cabinet|+01.38|+00.47|-01.69.png ADDED

Git LFS Details

  • SHA256: edeab83edc6a100e978c0b9e35b01ac41aca4f915a416ffed4225b7b87761c83
  • Pointer size: 131 Bytes
  • Size of remote file: 777 kB
train/FloorPlan20/12/rgb_1_mask_Toaster|+00.78|+00.90|-02.08.png ADDED

Git LFS Details

  • SHA256: 821923ea50b7450cfcb58a4051abe08586a9cb7a817ee90f68a2679e1802d886
  • Pointer size: 131 Bytes
  • Size of remote file: 778 kB
train/FloorPlan20/12/semantic_0.png ADDED
train/FloorPlan20/12/semantic_1.png ADDED
train/FloorPlan20/28/0_depth_npy.npy ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:994f34718e7afe984a8b9e89f74ef3b3af9d46e5c0289f902179603de6c68e7a
3
+ size 3145856
train/FloorPlan20/28/0_semantic_sensor_npy.npy ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:f07928f929dc7cefb94d777e7f43ae215a245003694b193374d8b027cb0d8cb8
3
+ size 2359424
train/FloorPlan20/28/1.json ADDED
The diff for this file is too large to render. See raw diff
 
train/FloorPlan20/28/1_depth_npy.npy ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:4ab4653c3b944d835932dd495b78b3fad216027f22fa92c65d2fd30caa7f259e
3
+ size 3145856
train/FloorPlan20/28/1_semantic_sensor_npy.npy ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:f031c3b1c1ca36add3cda4e5aa8ade4c893475db7bac0374c4f2dd5e78fd913e
3
+ size 2359424
train/FloorPlan20/28/depth_0.png ADDED
train/FloorPlan20/28/mask_questions.jsonl ADDED
@@ -0,0 +1,17 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {"id": 12493, "folder_dir": "FloorPlan20/28", "pair_name": "0-1:Microwave|-01.23|+00.90|-01.68", "query": "Please combine the information from the two images and answer the following question:\nWhat is the object being masked in the second image?\nNote: The masked region is indicated by the black rectangle outlined in red in the second image.\nChoose the correct option from the list below. Only respond with the corresponding letter.\n\nA. Cup\nB. Microwave\nC. Spatula\nD. Bread", "answer": "B", "object_name": "Microwave", "image_1": "FloorPlan20/28/rgb_0.png", "image_2": "FloorPlan20/28/rgb_1.png", "mask_image": "FloorPlan20/28/rgb_1_mask_Microwave|-01.23|+00.90|-01.68.png", "options": ["Cup", "Microwave", "Spatula", "Bread"]}
2
+ {"id": 12494, "folder_dir": "FloorPlan20/28", "pair_name": "0-1:Fridge|-01.50|+00.00|-00.70", "query": "Please combine the information from the two images and answer the following question:\nWhat is the object being masked in the second image?\nNote: The masked region is indicated by the black rectangle outlined in red in the second image.\nChoose the correct option from the list below. Only respond with the corresponding letter.\n\nA. DiningTable\nB. Stool\nC. Fridge\nD. Spatula", "answer": "C", "object_name": "Fridge", "image_1": "FloorPlan20/28/rgb_0.png", "image_2": "FloorPlan20/28/rgb_1.png", "mask_image": "FloorPlan20/28/rgb_1_mask_Fridge|-01.50|+00.00|-00.70.png", "options": ["DiningTable", "Stool", "Fridge", "Spatula"]}
3
+ {"id": 12495, "folder_dir": "FloorPlan20/28", "pair_name": "0-1:Cabinet|+00.20|+02.02|-02.00", "query": "Please combine the information from the two images and answer the following question:\nWhat is the object being masked in the second image?\nNote: The masked region is indicated by the black rectangle outlined in red in the second image.\nChoose the correct option from the list below. Only respond with the corresponding letter.\n\nA. Pot\nB. Bread\nC. Cabinet\nD. Spatula", "answer": "C", "object_name": "Cabinet", "image_1": "FloorPlan20/28/rgb_0.png", "image_2": "FloorPlan20/28/rgb_1.png", "mask_image": "FloorPlan20/28/rgb_1_mask_Cabinet|+00.20|+02.02|-02.00.png", "options": ["Pot", "Bread", "Cabinet", "Spatula"]}
4
+ {"id": 12496, "folder_dir": "FloorPlan20/28", "pair_name": "0-1:Cabinet|-00.46|+02.27|-02.00", "query": "Please combine the information from the two images and answer the following question:\nWhat is the object being masked in the second image?\nNote: The masked region is indicated by the black rectangle outlined in red in the second image.\nChoose the correct option from the list below. Only respond with the corresponding letter.\n\nA. Stool\nB. Spatula\nC. DiningTable\nD. Cabinet", "answer": "D", "object_name": "Cabinet", "image_1": "FloorPlan20/28/rgb_0.png", "image_2": "FloorPlan20/28/rgb_1.png", "mask_image": "FloorPlan20/28/rgb_1_mask_Cabinet|-00.46|+02.27|-02.00.png", "options": ["Stool", "Spatula", "DiningTable", "Cabinet"]}
5
+ {"id": 12497, "folder_dir": "FloorPlan20/28", "pair_name": "0-1:Cabinet|-01.10|+02.02|-02.00", "query": "Please combine the information from the two images and answer the following question:\nWhat is the object being masked in the second image?\nNote: The masked region is indicated by the black rectangle outlined in red in the second image.\nChoose the correct option from the list below. Only respond with the corresponding letter.\n\nA. Stool\nB. Cabinet\nC. Tomato\nD. Spatula", "answer": "B", "object_name": "Cabinet", "image_1": "FloorPlan20/28/rgb_0.png", "image_2": "FloorPlan20/28/rgb_1.png", "mask_image": "FloorPlan20/28/rgb_1_mask_Cabinet|-01.10|+02.02|-02.00.png", "options": ["Stool", "Cabinet", "Tomato", "Spatula"]}
6
+ {"id": 12498, "folder_dir": "FloorPlan20/28", "pair_name": "0-1:Toaster|+00.78|+00.90|-02.08", "query": "Please combine the information from the two images and answer the following question:\nWhat is the object being masked in the second image?\nNote: The masked region is indicated by the black rectangle outlined in red in the second image.\nChoose the correct option from the list below. Only respond with the corresponding letter.\n\nA. Pot\nB. Toaster\nC. Cup\nD. Spatula", "answer": "B", "object_name": "Toaster", "image_1": "FloorPlan20/28/rgb_0.png", "image_2": "FloorPlan20/28/rgb_1.png", "mask_image": "FloorPlan20/28/rgb_1_mask_Toaster|+00.78|+00.90|-02.08.png", "options": ["Pot", "Toaster", "Cup", "Spatula"]}
7
+ {"id": 12499, "folder_dir": "FloorPlan20/28", "pair_name": "0-1:Cabinet|+01.18|+02.02|-02.00", "query": "Please combine the information from the two images and answer the following question:\nWhat is the object being masked in the second image?\nNote: The masked region is indicated by the black rectangle outlined in red in the second image.\nChoose the correct option from the list below. Only respond with the corresponding letter.\n\nA. DiningTable\nB. Cabinet\nC. Spatula\nD. Apple", "answer": "B", "object_name": "Cabinet", "image_1": "FloorPlan20/28/rgb_0.png", "image_2": "FloorPlan20/28/rgb_1.png", "mask_image": "FloorPlan20/28/rgb_1_mask_Cabinet|+01.18|+02.02|-02.00.png", "options": ["DiningTable", "Cabinet", "Spatula", "Apple"]}
8
+ {"id": 12500, "folder_dir": "FloorPlan20/28", "pair_name": "0-1:Cabinet|-01.15|+02.02|-01.98", "query": "Please combine the information from the two images and answer the following question:\nWhat is the object being masked in the second image?\nNote: The masked region is indicated by the black rectangle outlined in red in the second image.\nChoose the correct option from the list below. Only respond with the corresponding letter.\n\nA. Spatula\nB. Potato\nC. Cabinet\nD. Stool", "answer": "C", "object_name": "Cabinet", "image_1": "FloorPlan20/28/rgb_0.png", "image_2": "FloorPlan20/28/rgb_1.png", "mask_image": "FloorPlan20/28/rgb_1_mask_Cabinet|-01.15|+02.02|-01.98.png", "options": ["Spatula", "Potato", "Cabinet", "Stool"]}
9
+ {"id": 12501, "folder_dir": "FloorPlan20/28", "pair_name": "0-1:Sink|-00.11|+00.89|-02.01", "query": "Please combine the information from the two images and answer the following question:\nWhat is the object being masked in the second image?\nNote: The masked region is indicated by the black rectangle outlined in red in the second image.\nChoose the correct option from the list below. Only respond with the corresponding letter.\n\nA. Sink\nB. DiningTable\nC. Plate\nD. Spatula", "answer": "A", "object_name": "Sink", "image_1": "FloorPlan20/28/rgb_0.png", "image_2": "FloorPlan20/28/rgb_1.png", "mask_image": "FloorPlan20/28/rgb_1_mask_Sink|-00.11|+00.89|-02.01.png", "options": ["Sink", "DiningTable", "Plate", "Spatula"]}
10
+ {"id": 12502, "folder_dir": "FloorPlan20/28", "pair_name": "1-0:Microwave|-01.23|+00.90|-01.68", "query": "Please combine the information from the two images and answer the following question:\nWhat is the object being masked in the second image?\nNote: The masked region is indicated by the black rectangle outlined in red in the second image.\nChoose the correct option from the list below. Only respond with the corresponding letter.\n\nA. Microwave\nB. WineBottle\nC. Spatula\nD. Knife", "answer": "A", "object_name": "Microwave", "image_1": "FloorPlan20/28/rgb_1.png", "image_2": "FloorPlan20/28/rgb_0.png", "mask_image": "FloorPlan20/28/rgb_0_mask_Microwave|-01.23|+00.90|-01.68.png", "options": ["Microwave", "WineBottle", "Spatula", "Knife"]}
11
+ {"id": 12503, "folder_dir": "FloorPlan20/28", "pair_name": "1-0:Fridge|-01.50|+00.00|-00.70", "query": "Please combine the information from the two images and answer the following question:\nWhat is the object being masked in the second image?\nNote: The masked region is indicated by the black rectangle outlined in red in the second image.\nChoose the correct option from the list below. Only respond with the corresponding letter.\n\nA. Cabinet\nB. Spatula\nC. Fridge\nD. CoffeeMachine", "answer": "C", "object_name": "Fridge", "image_1": "FloorPlan20/28/rgb_1.png", "image_2": "FloorPlan20/28/rgb_0.png", "mask_image": "FloorPlan20/28/rgb_0_mask_Fridge|-01.50|+00.00|-00.70.png", "options": ["Cabinet", "Spatula", "Fridge", "CoffeeMachine"]}
12
+ {"id": 12504, "folder_dir": "FloorPlan20/28", "pair_name": "1-0:Cabinet|+00.20|+02.02|-02.00", "query": "Please combine the information from the two images and answer the following question:\nWhat is the object being masked in the second image?\nNote: The masked region is indicated by the black rectangle outlined in red in the second image.\nChoose the correct option from the list below. Only respond with the corresponding letter.\n\nA. Spatula\nB. Knife\nC. Cabinet\nD. CoffeeMachine", "answer": "C", "object_name": "Cabinet", "image_1": "FloorPlan20/28/rgb_1.png", "image_2": "FloorPlan20/28/rgb_0.png", "mask_image": "FloorPlan20/28/rgb_0_mask_Cabinet|+00.20|+02.02|-02.00.png", "options": ["Spatula", "Knife", "Cabinet", "CoffeeMachine"]}
13
+ {"id": 12505, "folder_dir": "FloorPlan20/28", "pair_name": "1-0:Cabinet|-00.46|+02.27|-02.00", "query": "Please combine the information from the two images and answer the following question:\nWhat is the object being masked in the second image?\nNote: The masked region is indicated by the black rectangle outlined in red in the second image.\nChoose the correct option from the list below. Only respond with the corresponding letter.\n\nA. Cabinet\nB. Spatula\nC. SaltShaker\nD. PepperShaker", "answer": "A", "object_name": "Cabinet", "image_1": "FloorPlan20/28/rgb_1.png", "image_2": "FloorPlan20/28/rgb_0.png", "mask_image": "FloorPlan20/28/rgb_0_mask_Cabinet|-00.46|+02.27|-02.00.png", "options": ["Cabinet", "Spatula", "SaltShaker", "PepperShaker"]}
14
+ {"id": 12506, "folder_dir": "FloorPlan20/28", "pair_name": "1-0:Cabinet|-01.10|+02.02|-02.00", "query": "Please combine the information from the two images and answer the following question:\nWhat is the object being masked in the second image?\nNote: The masked region is indicated by the black rectangle outlined in red in the second image.\nChoose the correct option from the list below. Only respond with the corresponding letter.\n\nA. Bowl\nB. PepperShaker\nC. Spatula\nD. Cabinet", "answer": "D", "object_name": "Cabinet", "image_1": "FloorPlan20/28/rgb_1.png", "image_2": "FloorPlan20/28/rgb_0.png", "mask_image": "FloorPlan20/28/rgb_0_mask_Cabinet|-01.10|+02.02|-02.00.png", "options": ["Bowl", "PepperShaker", "Spatula", "Cabinet"]}
15
+ {"id": 12507, "folder_dir": "FloorPlan20/28", "pair_name": "1-0:Toaster|+00.78|+00.90|-02.08", "query": "Please combine the information from the two images and answer the following question:\nWhat is the object being masked in the second image?\nNote: The masked region is indicated by the black rectangle outlined in red in the second image.\nChoose the correct option from the list below. Only respond with the corresponding letter.\n\nA. WineBottle\nB. Spatula\nC. Cabinet\nD. Toaster", "answer": "D", "object_name": "Toaster", "image_1": "FloorPlan20/28/rgb_1.png", "image_2": "FloorPlan20/28/rgb_0.png", "mask_image": "FloorPlan20/28/rgb_0_mask_Toaster|+00.78|+00.90|-02.08.png", "options": ["WineBottle", "Spatula", "Cabinet", "Toaster"]}
16
+ {"id": 12508, "folder_dir": "FloorPlan20/28", "pair_name": "1-0:Cabinet|+01.18|+02.02|-02.00", "query": "Please combine the information from the two images and answer the following question:\nWhat is the object being masked in the second image?\nNote: The masked region is indicated by the black rectangle outlined in red in the second image.\nChoose the correct option from the list below. Only respond with the corresponding letter.\n\nA. WineBottle\nB. Spatula\nC. Cabinet\nD. CoffeeMachine", "answer": "C", "object_name": "Cabinet", "image_1": "FloorPlan20/28/rgb_1.png", "image_2": "FloorPlan20/28/rgb_0.png", "mask_image": "FloorPlan20/28/rgb_0_mask_Cabinet|+01.18|+02.02|-02.00.png", "options": ["WineBottle", "Spatula", "Cabinet", "CoffeeMachine"]}
17
+ {"id": 12509, "folder_dir": "FloorPlan20/28", "pair_name": "1-0:Cabinet|-01.15|+02.02|-01.98", "query": "Please combine the information from the two images and answer the following question:\nWhat is the object being masked in the second image?\nNote: The masked region is indicated by the black rectangle outlined in red in the second image.\nChoose the correct option from the list below. Only respond with the corresponding letter.\n\nA. Bowl\nB. SaltShaker\nC. Spatula\nD. Cabinet", "answer": "D", "object_name": "Cabinet", "image_1": "FloorPlan20/28/rgb_1.png", "image_2": "FloorPlan20/28/rgb_0.png", "mask_image": "FloorPlan20/28/rgb_0_mask_Cabinet|-01.15|+02.02|-01.98.png", "options": ["Bowl", "SaltShaker", "Spatula", "Cabinet"]}
train/FloorPlan20/28/questions_distance.jsonl ADDED
@@ -0,0 +1,2 @@
 
 
 
1
+ {"id": 3765, "folder_dir": "FloorPlan20/28", "query": "Which of the following objects is closest to Fridge in the two images? (Note: Use the distance between centroids to determine closeness.) \nChoose the correct option from the list below. Only respond with the corresponding letter.\n\nA. Drawer\nB. Cup\nC. Microwave\nD. Other\n", "answer": "C", "src_object": "Fridge", "target_object": "Microwave", "question": "Which of the following objects is closest to Fridge in the two images? (Note: Use the distance between centroids to determine closeness.) \nChoose the correct option from the list below. Only respond with the corresponding letter.", "options": [{"text": "Drawer", "semantic_id": "Drawer|-00.82|+00.75|-01.69", "distance": 1.4121859991801415, "com": {"x": -0.6580551266670227, "y": 0.7507331371307373, "z": -1.8811407089233398}}, {"text": "Cup", "semantic_id": "Cup|-00.06|+00.92|+00.10", "distance": 1.5962134484990669, "com": {"x": -0.06536687910556793, "y": 1.0253757238388062, "z": 0.09963782131671906}}, {"text": "Microwave", "semantic_id": "Microwave|-01.23|+00.90|-01.68", "distance": 1.0309843459403252, "com": {"x": -1.2300658226013184, "y": 1.0758496522903442, "z": -1.6768653392791748}}, {"text": "Other", "semantic_id": -1, "distance": -1, "com": [0, 0, 0]}], "image_1": "FloorPlan20/28/rgb_0.png", "image_2": "FloorPlan20/28/rgb_1.png"}
2
+ {"id": 3766, "folder_dir": "FloorPlan20/28", "query": "Which of the following objects is closest to CounterTop in the two images? (Note: Use the distance between centroids to determine closeness.) \nChoose the correct option from the list below. Only respond with the corresponding letter.\n\nA. SoapBottle\nB. Fork\nC. Spoon\nD. Other\n", "answer": "B", "src_object": "CounterTop", "target_object": "Fork", "question": "Which of the following objects is closest to CounterTop in the two images? (Note: Use the distance between centroids to determine closeness.) \nChoose the correct option from the list below. Only respond with the corresponding letter.", "options": [{"text": "SoapBottle", "semantic_id": "SoapBottle|+00.32|+00.90|-02.14", "distance": 0.4878797265745436, "com": {"x": 0.3199998140335083, "y": 1.0166330337524414, "z": -2.138000249862671}}, {"text": "Fork", "semantic_id": "Fork|+00.45|+00.90|-01.89", "distance": 0.291401729797298, "com": {"x": 0.4547417461872101, "y": 0.9101133346557617, "z": -1.9090890884399414}}, {"text": "Spoon", "semantic_id": "Spoon|+00.38|+00.90|-01.97", "distance": 0.3291674459751576, "com": {"x": 0.3763842284679413, "y": 0.9093663096427917, "z": -1.9823482036590576}}, {"text": "Other", "semantic_id": -1, "distance": -1, "com": [0, 0, 0]}], "image_1": "FloorPlan20/28/rgb_0.png", "image_2": "FloorPlan20/28/rgb_1.png"}
train/FloorPlan20/28/rgb_0.png ADDED

Git LFS Details

  • SHA256: 7143d8f5d50b7afca50f436dc700f147eb93cf65feaa16171ab4c720b679af92
  • Pointer size: 131 Bytes
  • Size of remote file: 870 kB
train/FloorPlan20/28/rgb_0_mask_Cabinet|+00.20|+02.02|-02.00.png ADDED

Git LFS Details

  • SHA256: d7b41c3a090d9c61406de198abd76d72d2e51a12d667f72de8579f5cee504665
  • Pointer size: 131 Bytes
  • Size of remote file: 758 kB
train/FloorPlan20/28/rgb_0_mask_Cabinet|+01.18|+02.02|-02.00.png ADDED

Git LFS Details

  • SHA256: 26875d7002ff05aa0f4c0d91b9ed2791f4cdccbdc7075c26a9f9d62eb66a9a78
  • Pointer size: 131 Bytes
  • Size of remote file: 764 kB
train/FloorPlan20/28/rgb_0_mask_Cabinet|-00.46|+02.27|-02.00.png ADDED

Git LFS Details

  • SHA256: 670c4619c86ec52b7241c3db6d5191d67c858a454cf05a6f7698edc47615bd3b
  • Pointer size: 131 Bytes
  • Size of remote file: 764 kB
train/FloorPlan20/28/rgb_0_mask_Cabinet|-01.10|+02.02|-02.00.png ADDED

Git LFS Details

  • SHA256: 463b54d7ab4d7d32ad21c328af43f6b3dcb387596d4eff35afc681443fe60cff
  • Pointer size: 131 Bytes
  • Size of remote file: 764 kB
train/FloorPlan20/28/rgb_0_mask_Cabinet|-01.15|+02.02|-01.98.png ADDED

Git LFS Details

  • SHA256: 7a5282fa9bfa8c829976d76c293bb6fa8a1d873917be9c2c7862a176681909e0
  • Pointer size: 131 Bytes
  • Size of remote file: 766 kB
train/FloorPlan20/28/rgb_0_mask_Fridge|-01.50|+00.00|-00.70.png ADDED

Git LFS Details

  • SHA256: e1772f328bce884cbf22525422f73bcea68b90a7d320e18cab575a1b0b974b18
  • Pointer size: 131 Bytes
  • Size of remote file: 755 kB
train/FloorPlan20/28/rgb_0_mask_Microwave|-01.23|+00.90|-01.68.png ADDED

Git LFS Details

  • SHA256: 13692b3b72b269fe26cf7229513126621a478c50843a784dc64b117e9b20bce2
  • Pointer size: 131 Bytes
  • Size of remote file: 764 kB
train/FloorPlan20/28/rgb_0_mask_Toaster|+00.78|+00.90|-02.08.png ADDED

Git LFS Details

  • SHA256: 527e779bda7ab842ee49f85cfe8e371cc42fefdc202325a714489b065279a583
  • Pointer size: 131 Bytes
  • Size of remote file: 764 kB
train/FloorPlan20/28/rgb_1.png ADDED

Git LFS Details

  • SHA256: b6ecc1f14b800e843ad115fdc5788ecc0c5a9c71dd3e0e407be72d8fb4974485
  • Pointer size: 131 Bytes
  • Size of remote file: 771 kB
train/FloorPlan20/28/rgb_1_mask_Cabinet|+00.20|+02.02|-02.00.png ADDED

Git LFS Details

  • SHA256: 717c267c32c7ee9a05e301dfff17c07e1c0cba525c9f0d9e4f10eadb1d056e55
  • Pointer size: 131 Bytes
  • Size of remote file: 676 kB
train/FloorPlan20/28/rgb_1_mask_Cabinet|-00.46|+02.27|-02.00.png ADDED

Git LFS Details

  • SHA256: 2325f02f1bf4aca5ec9bc3037271abf7d757edfc9778f377214c11bc37310bad
  • Pointer size: 131 Bytes
  • Size of remote file: 680 kB
train/FloorPlan20/28/rgb_1_mask_Cabinet|-01.10|+02.02|-02.00.png ADDED

Git LFS Details

  • SHA256: 1c25a71b8949910b691559ca4e499c67d050c45f8c68ca508001438351bcb29e
  • Pointer size: 131 Bytes
  • Size of remote file: 673 kB
train/FloorPlan20/28/rgb_1_mask_Cabinet|-01.15|+02.02|-01.98.png ADDED

Git LFS Details

  • SHA256: 6f8e137aa12cc180510a0c1f0a19640d6c986511101b8e1d3567ea3ed5552f94
  • Pointer size: 131 Bytes
  • Size of remote file: 679 kB
train/FloorPlan20/28/rgb_1_mask_Fridge|-01.50|+00.00|-00.70.png ADDED

Git LFS Details

  • SHA256: 0614cacf736bb217e721257578ab3acbc5d0359fa022df79af150c15488aa593
  • Pointer size: 131 Bytes
  • Size of remote file: 590 kB
train/FloorPlan20/28/rgb_1_mask_Microwave|-01.23|+00.90|-01.68.png ADDED

Git LFS Details

  • SHA256: 9365b0cfa0613f3fd4967e5254059c6d93b882aaa3d8fb997af190af349b4189
  • Pointer size: 131 Bytes
  • Size of remote file: 670 kB
train/FloorPlan20/28/rgb_1_mask_Sink|-00.11|+00.89|-02.01.png ADDED

Git LFS Details

  • SHA256: 9ed724110256f5cf07688c34b619a540dde5c13ddaaa58af0858a154fbf69ae7
  • Pointer size: 131 Bytes
  • Size of remote file: 678 kB
train/FloorPlan20/28/rgb_1_mask_Toaster|+00.78|+00.90|-02.08.png ADDED

Git LFS Details

  • SHA256: 1d1b2bbe4f2d02cfb77306ce604831f69c5b9f64081130a4830ab9b64d09fd09
  • Pointer size: 131 Bytes
  • Size of remote file: 678 kB