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Datasets:
itaykadosh
/
RPX

Tasks:
Image Segmentation
Depth Estimation
Object Detection
Modalities:
Text
Formats:
text
Languages:
English
Size:
< 1K
Tags:
robotics
embodied-ai
rgb-d
benchmark
perception
manipulation
Libraries:
Datasets
License:
Dataset card Data Studio Files
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 Community
1
itaykadosh commited on
Commit
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1 Parent(s): 428db70

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  1. manifest/frames_v1.parquet +3 -0
  2. scenes/scene19.su.CHECKERBOARD/2/labels/masks_aux/v1.tar +3 -0
  3. scenes/scene34.ecss.3f.sofaNchairs/0/depth.tar +3 -0
  4. scenes/scene34.ecss.3f.sofaNchairs/0/fisheye.tar +3 -0
  5. scenes/scene34.ecss.3f.sofaNchairs/0/labels/cam_pose/v1.tar +3 -0
  6. scenes/scene34.ecss.3f.sofaNchairs/0/labels/masks/v1.tar +3 -0
  7. scenes/scene34.ecss.3f.sofaNchairs/0/labels/masks_aux/v1.tar +3 -0
  8. scenes/scene34.ecss.3f.sofaNchairs/0/labels/sam2_meta/v1.tar +3 -0
  9. scenes/scene34.ecss.3f.sofaNchairs/0/rgb.tar +3 -0
  10. scenes/scene34.ecss.3f.sofaNchairs/1/depth.tar +3 -0
  11. scenes/scene34.ecss.3f.sofaNchairs/1/fisheye.tar +3 -0
  12. scenes/scene34.ecss.3f.sofaNchairs/1/labels/cam_pose/v1.tar +3 -0
  13. scenes/scene34.ecss.3f.sofaNchairs/1/labels/masks/v1.tar +3 -0
  14. scenes/scene34.ecss.3f.sofaNchairs/1/labels/masks_aux/v1.tar +3 -0
  15. scenes/scene34.ecss.3f.sofaNchairs/1/labels/sam2_meta/v1.tar +3 -0
  16. scenes/scene34.ecss.3f.sofaNchairs/1/rgb.tar +3 -0
  17. scenes/scene34.ecss.3f.sofaNchairs/2/depth.tar +3 -0
  18. scenes/scene34.ecss.3f.sofaNchairs/2/fisheye.tar +3 -0
  19. scenes/scene34.ecss.3f.sofaNchairs/2/labels/cam_pose/v1.tar +3 -0
  20. scenes/scene34.ecss.3f.sofaNchairs/2/labels/masks/v1.tar +3 -0
  21. scenes/scene34.ecss.3f.sofaNchairs/2/labels/masks_aux/v1.tar +3 -0
  22. scenes/scene34.ecss.3f.sofaNchairs/2/labels/sam2_meta/v1.tar +3 -0
  23. scenes/scene34.ecss.3f.sofaNchairs/2/rgb.tar +3 -0
  24. scenes/scene51.TENNISCOURTS.Ground/0/depth.tar +3 -0
  25. scenes/scene51.TENNISCOURTS.Ground/0/fisheye.tar +3 -0
  26. scenes/scene51.TENNISCOURTS.Ground/0/labels/cam_pose/v1.tar +3 -0
  27. scenes/scene51.TENNISCOURTS.Ground/0/labels/masks/v1.tar +3 -0
  28. scenes/scene51.TENNISCOURTS.Ground/0/labels/masks_aux/v1.tar +3 -0
  29. scenes/scene51.TENNISCOURTS.Ground/0/labels/sam2_meta/v1.tar +3 -0
  30. scenes/scene51.TENNISCOURTS.Ground/0/rgb.tar +3 -0
  31. scenes/scene51.TENNISCOURTS.Ground/1/depth.tar +3 -0
  32. scenes/scene51.TENNISCOURTS.Ground/1/fisheye.tar +3 -0
  33. scenes/scene51.TENNISCOURTS.Ground/1/labels/cam_pose/v1.tar +3 -0
  34. scenes/scene51.TENNISCOURTS.Ground/1/labels/masks/v1.tar +3 -0
  35. scenes/scene51.TENNISCOURTS.Ground/1/labels/masks_aux/v1.tar +3 -0
  36. scenes/scene51.TENNISCOURTS.Ground/1/labels/sam2_meta/v1.tar +3 -0
  37. scenes/scene51.TENNISCOURTS.Ground/1/rgb.tar +3 -0
  38. scenes/scene51.TENNISCOURTS.Ground/2/depth.tar +3 -0
  39. scenes/scene51.TENNISCOURTS.Ground/2/fisheye.tar +3 -0
  40. scenes/scene51.TENNISCOURTS.Ground/2/labels/cam_pose/v1.tar +3 -0
  41. scenes/scene51.TENNISCOURTS.Ground/2/labels/masks/v1.tar +3 -0
  42. scenes/scene51.TENNISCOURTS.Ground/2/labels/masks_aux/v1.tar +3 -0
  43. scenes/scene51.TENNISCOURTS.Ground/2/labels/sam2_meta/v1.tar +3 -0
  44. scenes/scene51.TENNISCOURTS.Ground/2/rgb.tar +3 -0
  45. scenes/scene59.rec.in/1/fisheye.tar +3 -0
  46. scenes/scene59.rec.in/1/labels/masks_aux/v1.tar +3 -0
  47. scenes/scene59.rec.in/2/depth.tar +3 -0
  48. scenes/scene59.rec.in/2/fisheye.tar +3 -0
  49. scenes/scene59.rec.in/2/labels/cam_pose/v1.tar +3 -0
  50. scenes/scene59.rec.in/2/labels/masks/v1.tar +3 -0
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