Updated VOC hyperparameters (#6732)
* Update hyps * Update hyp.VOC.yaml * Update pathlib * Update hyps * Update hyps * Update hyps * Update hyps
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# YOLOv5 🚀 by Ultralytics, GPL-3.0 license
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# Hyperparameters for VOC training
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# python train.py --batch 128 --weights yolov5m6.pt --data VOC.yaml --epochs 50 --img 512 --hyp hyp.scratch-med.yaml --evolve
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# See Hyperparameter Evolution tutorial for details https://github.com/ultralytics/yolov5#tutorials
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# YOLOv5 Hyperparameter Evolution Results
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# Best generation: 319
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# Last generation: 434
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# metrics/precision, metrics/recall, metrics/mAP_0.5, metrics/mAP_0.5:0.95, val/box_loss, val/obj_loss, val/cls_loss
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# 0.86236, 0.86184, 0.91274, 0.72647, 0.0077056, 0.0042449, 0.0013846
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lr0: 0.0033
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lrf: 0.15184
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momentum: 0.74747
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weight_decay: 0.00025
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warmup_epochs: 3.4278
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warmup_momentum: 0.59032
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warmup_bias_lr: 0.18742
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box: 0.02
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cls: 0.21563
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cls_pw: 0.5
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obj: 0.50843
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obj_pw: 0.6729
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iou_t: 0.2
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anchor_t: 3.4172
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fl_gamma: 0.0
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hsv_h: 0.01032
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hsv_s: 0.5562
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hsv_v: 0.28255
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degrees: 0.0
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translate: 0.04575
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scale: 0.73711
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shear: 0.0
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perspective: 0.0
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flipud: 0.0
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fliplr: 0.5
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mosaic: 0.87158
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mixup: 0.04294
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copy_paste: 0.0
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anchors: 3.3556
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