ultralytics 8.0.233 improve Classify train augmentations (#4546)
Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com> Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> Co-authored-by: Kayzwer <68285002+Kayzwer@users.noreply.github.com> Co-authored-by: Yonghye Kwon <developer.0hye@gmail.com> Co-authored-by: andresinsitu <andres.rodriguez@ingenieriainsitu.com> Co-authored-by: Laughing-q <1185102784@qq.com> Co-authored-by: Laughing <61612323+Laughing-q@users.noreply.github.com>
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@ -113,6 +113,9 @@ fliplr: 0.5 # (float) image flip left-right (probability)
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mosaic: 1.0 # (float) image mosaic (probability)
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mixup: 0.0 # (float) image mixup (probability)
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copy_paste: 0.0 # (float) segment copy-paste (probability)
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auto_augment: randaugment # (str) auto augmentation policy for classification (randaugment, autoaugment, augmix)
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erasing: 0.4 # (float) probability of random erasing during classification training (0-1)
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crop_fraction: 1.0 # (float) image crop fraction for classification evaluation/inference (0-1)
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# Custom config.yaml ---------------------------------------------------------------------------------------------------
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cfg: # (str, optional) for overriding defaults.yaml
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