hyp.yaml

# Example hyperparameters
lr0: 0.01               # Initial learning rate
lrf: 0.2                # Final OneCycleLR learning rate
momentum: 0.937         # SGD momentum
weight_decay: 0.0005    # Optimizer weight decay
warmup_epochs: 3.0      # Warmup epochs (fractions ok)
warmup_momentum: 0.8    # Warmup initial momentum
warmup_bias_lr: 0.1     # Warmup initial bias lr
box: 0.05               # Box loss gain
cls: 0.5                # Classification loss gain
obj: 1.0                # Objectness loss gain
iou_t: 0.2              # IoU threshold for training
anchor_t: 4.0           # Anchor-multiple threshold
fl_gamma: 0.0           # Focal Loss gamma (0 = disabled)
hsv_h: 0.015            # Image HSV-Hue augmentation (fraction)
hsv_s: 0.7              # Image HSV-Saturation augmentation (fraction)
hsv_v: 0.4              # Image HSV-Value augmentation (fraction)
degrees: 0.0            # Image rotation (+/- deg)
translate: 0.1          # Image translation (+/- fraction)
scale: 0.5              # Image scale (+/- gain)
shear: 0.0              # Image shear (+/- deg)
perspective: 0.0        # Image perspective (+/- fraction), range 0-0.001
flipud: 0.0             # Image flip up-down (probability)
fliplr: 0.5             # Image flip left-right (probability)
mixup: 0.0              # Image mixup (probability)