v2.0

DVC Report

params.yaml

task	dataset	weights	shape	epochs	batch-size	optimizer.method	optimizer.learning-rate	optimizer.strategy.name	optimizer.strategy.parameters.decay	optimizer.strategy.parameters.warmup-learning-rate	optimizer.strategy.parameters.warmup-epochs	metric	logs	checkpoints	validation.iou	validation.score	loss_weights.w_obj	loss_weights.w_cls	loss_weights.w_loc	display	augmentation.Flip	augmentation.RandomBrightnessContrast	augmentation.ToGray	augmentation.ChannelShuffle	augmentation.RandomFog	augmentation.ShiftScaleRotate	augmentation.Mosaic	encoding_iou	letterbox	objects-size	use_fake_background	use_power_decoder	focus	anchors	strides
detection	dataset.yaml	coco	[240, 320, 3]	100	100	adam	0.01	warmup	0	0.0001	2	acc	out	out	0.5	0.45	1	1	1	0	0.5	0.2	0.2	0.01	0.01	0.3	0.3	0.3	False	large	True	True	True	[[[68.0, 85.0], [95.0, 118.0], [106.0, 65.0]], [[109.0, 174.0], [155.0, 91.0], [180.0, 183.0]]]	[30, 60]

metrics.json

mACC 0.50	mACC 0.75	mACC 0.50-0.95	mAP 0.50	mAP 0.75	mAP 0.50-0.95	mAR 0.50	mAR 0.75	mAR 0.50-0.95	Overall ACC	Overall AP	Overall AR	Learning Rate	step
0.705074	0.689452	0.595443	0.857923	0.847678	0.750065	0.797941	0.788078	0.697114	0.755245	0.86631	0.79803	0	99