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Datasets:
FraunhoferIOSB
/
SynsetSignsetSensitivityAnalysisDataset

Tasks:
Image Classification
Languages:
English
Size:
1M<n<10M
Tags:
traffic sign recognition
Synthetic
synset
OCTAS
computer-vision
robustness
License:
Dataset card Files
xet
 Community
1
n1kb commited on
Commit
132efd2
·
verified ·
1 Parent(s): d6b3071

Flatten layout: drop 'data/' prefix (21/22)

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  1. {data/noise_0550 → noise_0550}/blur_19.parquet +0 -0
  2. {data/noise_0550 → noise_0550}/blur_20.parquet +0 -0
  3. {data/noise_0550 → noise_0550}/blur_21.parquet +0 -0
  4. {data/noise_0550 → noise_0550}/blur_22.parquet +0 -0
  5. {data/noise_0550 → noise_0550}/blur_23.parquet +0 -0
  6. {data/noise_0550 → noise_0550}/blur_24.parquet +0 -0
  7. {data/noise_0550 → noise_0550}/blur_25.parquet +0 -0
  8. {data/noise_0550 → noise_0550}/blur_26.parquet +0 -0
  9. {data/noise_0550 → noise_0550}/blur_27.parquet +0 -0
  10. {data/noise_0550 → noise_0550}/blur_28.parquet +0 -0
  11. {data/noise_0550 → noise_0550}/blur_29.parquet +0 -0
  12. {data/noise_0550 → noise_0550}/blur_30.parquet +0 -0
  13. {data/noise_0550 → noise_0550}/blur_31.parquet +0 -0
  14. {data/noise_0550 → noise_0550}/blur_32.parquet +0 -0
  15. {data/noise_0550 → noise_0550}/blur_33.parquet +0 -0
  16. {data/noise_0550 → noise_0550}/blur_34.parquet +0 -0
  17. {data/noise_0550 → noise_0550}/blur_35.parquet +0 -0
  18. {data/noise_0560 → noise_0560}/blur_00.parquet +0 -0
  19. {data/noise_0560 → noise_0560}/blur_01.parquet +0 -0
  20. {data/noise_0560 → noise_0560}/blur_02.parquet +0 -0
  21. {data/noise_0560 → noise_0560}/blur_03.parquet +0 -0
  22. {data/noise_0560 → noise_0560}/blur_04.parquet +0 -0
  23. {data/noise_0560 → noise_0560}/blur_05.parquet +0 -0
  24. {data/noise_0560 → noise_0560}/blur_06.parquet +0 -0
  25. {data/noise_0560 → noise_0560}/blur_07.parquet +0 -0
  26. {data/noise_0560 → noise_0560}/blur_08.parquet +0 -0
  27. {data/noise_0560 → noise_0560}/blur_09.parquet +0 -0
  28. {data/noise_0560 → noise_0560}/blur_10.parquet +0 -0
  29. {data/noise_0560 → noise_0560}/blur_11.parquet +0 -0
  30. {data/noise_0560 → noise_0560}/blur_12.parquet +0 -0
  31. {data/noise_0560 → noise_0560}/blur_13.parquet +0 -0
  32. {data/noise_0560 → noise_0560}/blur_14.parquet +0 -0
  33. {data/noise_0560 → noise_0560}/blur_15.parquet +0 -0
  34. {data/noise_0560 → noise_0560}/blur_16.parquet +0 -0
  35. {data/noise_0560 → noise_0560}/blur_17.parquet +0 -0
  36. {data/noise_0560 → noise_0560}/blur_18.parquet +0 -0
  37. {data/noise_0560 → noise_0560}/blur_19.parquet +0 -0
  38. {data/noise_0560 → noise_0560}/blur_20.parquet +0 -0
  39. {data/noise_0560 → noise_0560}/blur_21.parquet +0 -0
  40. {data/noise_0560 → noise_0560}/blur_22.parquet +0 -0
  41. {data/noise_0560 → noise_0560}/blur_23.parquet +0 -0
  42. {data/noise_0560 → noise_0560}/blur_24.parquet +0 -0
  43. {data/noise_0560 → noise_0560}/blur_25.parquet +0 -0
  44. {data/noise_0560 → noise_0560}/blur_26.parquet +0 -0
  45. {data/noise_0560 → noise_0560}/blur_27.parquet +0 -0
  46. {data/noise_0560 → noise_0560}/blur_28.parquet +0 -0
  47. {data/noise_0560 → noise_0560}/blur_29.parquet +0 -0
  48. {data/noise_0560 → noise_0560}/blur_30.parquet +0 -0
  49. {data/noise_0560 → noise_0560}/blur_31.parquet +0 -0
  50. {data/noise_0560 → noise_0560}/blur_32.parquet +0 -0
{data/noise_0550 → noise_0550}/blur_19.parquet RENAMED
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{data/noise_0550 → noise_0550}/blur_20.parquet RENAMED
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{data/noise_0550 → noise_0550}/blur_21.parquet RENAMED
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{data/noise_0550 → noise_0550}/blur_22.parquet RENAMED
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{data/noise_0560 → noise_0560}/blur_24.parquet RENAMED
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{data/noise_0560 → noise_0560}/blur_28.parquet RENAMED
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