Table 4.

Hyperparameter optimization results.

Parameter Name	Before Optimization	After Optimization
initial learning rate	0.01	0.00816
final OneCycleLR learning	0.2	0.25725
SGD momentum	0.937	0.98
warmup_bias_lr	0.1	0.11521
image HSV-Hue augmentation	0.015	0.01734
image HSV-Saturation augmentation	0.7	0.9
image HSV-Value augmentation	0.4	0.44819
box loss gain	0.05	0.03384
cls loss gain	0.5	0.6195
warmup_epochs	3.0	2.71044
warmup_momentum	0.8	0.66111