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description: Efficiently handle data in YOLO with Ultralytics. Utilize HUBDatasetStats and customize dataset with these data utility functions. |
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keywords: YOLOv4, Object Detection, Computer Vision, Deep Learning, Convolutional Neural Network, CNN, Ultralytics Docs |
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## HUBDatasetStats |
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### ::: ultralytics.yolo.data.utils.HUBDatasetStats |
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<br><br> |
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## img2label_paths |
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### ::: ultralytics.yolo.data.utils.img2label_paths |
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<br><br> |
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## get_hash |
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### ::: ultralytics.yolo.data.utils.get_hash |
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<br><br> |
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## exif_size |
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### ::: ultralytics.yolo.data.utils.exif_size |
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<br><br> |
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## verify_image_label |
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### ::: ultralytics.yolo.data.utils.verify_image_label |
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## polygon2mask |
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### ::: ultralytics.yolo.data.utils.polygon2mask |
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## polygons2masks |
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### ::: ultralytics.yolo.data.utils.polygons2masks |
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## polygons2masks_overlap |
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### ::: ultralytics.yolo.data.utils.polygons2masks_overlap |
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## check_det_dataset |
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### ::: ultralytics.yolo.data.utils.check_det_dataset |
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## check_cls_dataset |
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### ::: ultralytics.yolo.data.utils.check_cls_dataset |
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## compress_one_image |
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### ::: ultralytics.yolo.data.utils.compress_one_image |
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## delete_dsstore |
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### ::: ultralytics.yolo.data.utils.delete_dsstore |
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## zip_directory |
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### ::: ultralytics.yolo.data.utils.zip_directory |
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