Research Article

Lightweight Security Wear Detection Method Based on YOLOv5

Table 4

Settings of hyperparameters, where Input size means image input size, Lr initial learning rate, Lr_f cosine annealing hyperparameter, Weight_decay Weight attenuation coefficient, Warmup_epochs Warm up learning epoch, Warmup_momentum Warm up learning rate momentum, and Warmup_bias_lr preheating learning rate.

HyperparametersDefault

Input size640
Lr0.01
Lr_f0.2
Momentum0.937
Weight_decay0.0005
Warmup_epochs3.0
Warmup_momentum0.8
Warmup_bias_lr0.1