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  1. data.yaml +7 -0
  2. images/train/-Video-00-00-06-966-_jpg.rf.1eeaebad17716a667e9ad77eb7f7c809.jpg +3 -0
  3. images/train/-Video-00-00-06-966-_jpg.rf.283d60c86f901ceec987920459147303.jpg +3 -0
  4. images/train/-Video-00-00-06-966-_jpg.rf.95c8fb5da45797c4e61eafc8cabf99e1.jpg +3 -0
  5. images/train/-Video-00-00-06-966-_jpg.rf.bc907e36d86fdd85493ec36bc84c3ac9.jpg +3 -0
  6. images/train/-_-_-6-01_mp4-81_jpg.rf.23181ec295743fde943d9e04e9c8dfb2.jpg +3 -0
  7. images/train/-_-_-6-01_mp4-81_jpg.rf.82e215c46853e1b353965a81c0a6a01a.jpg +3 -0
  8. images/train/-_-_-6-01_mp4-81_jpg.rf.83767afbbae2d36f0b2911c95bb32339.jpg +3 -0
  9. images/train/-_-_-6-01_mp4-81_jpg.rf.9cf9dc5194cbe16efae1b4117d180371.jpg +3 -0
  10. images/train/-_-_-6-01_mp4-81_jpg.rf.ac973b5b28b157190b48118274254494.jpg +3 -0
  11. images/train/-_-_-6-01_mp4-81_jpg.rf.dcc0974114f5ecc753cf7e542897811b.jpg +3 -0
  12. images/train/-_-_-6-01_mp4-85_jpg.rf.368955a41a860a405899af82dad24a09.jpg +3 -0
  13. images/train/-_-_-6-01_mp4-85_jpg.rf.36d4ae6b3306002bd798ce3463b99fb5.jpg +3 -0
  14. images/train/-_-_-6-01_mp4-85_jpg.rf.71c93ac8d694e6b1c6f773f2b2a53826.jpg +3 -0
  15. images/train/-_-_-6-01_mp4-85_jpg.rf.985cf3218e26d01eb83994d69b73a4cf.jpg +3 -0
  16. images/train/-_-_-6-01_mp4-85_jpg.rf.f3fc924c23d36e31d66f00cb26a49284.jpg +3 -0
  17. images/train/-_-_-6-01_mp4-85_jpg.rf.fc7c73a0ac4b110c98b5a54e89da9a36.jpg +3 -0
  18. images/train/000000000025.jpg +3 -0
  19. images/train/000000000061.jpg +3 -0
  20. images/train/000000000064.jpg +3 -0
  21. images/train/000000000073.jpg +3 -0
  22. images/train/000000000074.jpg +3 -0
  23. images/train/000000000078.jpg +3 -0
  24. images/train/000000000081.jpg +3 -0
  25. images/train/000000000094.jpg +3 -0
  26. images/train/000000000164.jpg +3 -0
  27. images/train/000000000194.jpg +3 -0
  28. images/train/000000000196.jpg +3 -0
  29. images/train/000000000208.jpg +3 -0
  30. images/train/000000000241.jpg +3 -0
  31. images/train/000000000257.jpg +3 -0
  32. images/train/000000000308.jpg +3 -0
  33. images/train/000000000321.jpg +3 -0
  34. images/train/000000000328.jpg +3 -0
  35. images/train/000000000332.jpg +3 -0
  36. images/train/000000000338.jpg +3 -0
  37. images/train/000000000357.jpg +3 -0
  38. images/train/000000000360.jpg +3 -0
  39. images/train/000000000394.jpg +3 -0
  40. images/train/000000000443.jpg +3 -0
  41. images/train/000000000446.jpg +3 -0
  42. images/train/000000000459.jpg +3 -0
  43. images/train/000000000474.jpg +3 -0
  44. images/train/000000000486.jpg +3 -0
  45. images/train/000000000490.jpg +3 -0
  46. images/train/000000000491.jpg +3 -0
  47. images/train/000000000544.jpg +3 -0
  48. images/train/000000000612.jpg +3 -0
  49. images/train/000000000623.jpg +3 -0
  50. images/train/000000000643.jpg +3 -0
data.yaml ADDED
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+
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+ train: D:/ATM ML/Custom Dataset/coco/combined_dataset2\images/train
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+ # val: D:/ATM ML/Custom Dataset/coco/combined_dataset2\images/val
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+ # test: D:/ATM ML/Custom Dataset/coco/combined_dataset2\images/test
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+
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+ nc: 67
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+ names: ['helmet-mask-gun', 'Helmet', 'Mask', 'gun', 'skis', 'kite', 'parking meter', 'microwave', 'scissors', 'teddy bear', 'laptop', 'broccoli', 'handbag', 'stop sign', 'frisbee', 'motorcycle', 'cake', 'vase', 'snowboard', 'backpack', 'remote', 'bird', 'toaster', 'potted plant', 'baseball glove', 'tennis racket', 'dog', 'donut', 'toothbrush', 'baseball bat', 'bicycle', 'traffic light', 'cell phone', 'car', 'mouse', 'couch', 'bench', 'suitcase', 'sports ball', 'chair', 'fire hydrant', 'dining table', 'bus', 'umbrella', 'bottle', 'boat', 'tie', 'cat', 'clock', 'hair drier', 'truck', 'giraffe', 'person', 'airplane', 'refrigerator', 'keyboard', 'hot dog', 'sink', 'surfboard', 'book', 'zebra', 'skateboard', 'train', 'bed', 'horse', 'pizza', 'carrot']
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