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. 2025 Feb 21;11:e2718. doi: 10.7717/peerj-cs.2718

Table 4. Training results.

The YOLOv5 model has the highest number of layers, whereas the ResNet64 model contains the most parameters.

Model Layer Parameters GFLOPs Top1 Time (h)
ResNet64 175 25,557,032 0.0511 0.930 0.174
YOLOv5 214 7,030,417 16.0 0.882 0.304
YOLOv8 99 27,192,88 4.4 0.937 0.139