Research Article

Real-Time Object Detection for the Running Train Based on the Improved YOLO V4 Neural Network

Table 3

Comparison of AP values of different network models for four types of objects.

Detection algorithmTrack (%)Signal (%)Tunnel (%)Train (%)

Faster R–CNN97.8284.8785.6891.73
SSD96.5973.6274.6092.01
YOLO V397.3286.3787.4192.05
YOLO V497.9989.7889.0392.77
YOLO V4-tiny97.5886.3487.2990.16

MYOLO-lite seriesMV1-YOLO-lite99.9992.9297.2892.29
MV2-YOLO-lite99.4187.8793.7395.68
MV3-YOLO-lite99.8191.5996.2695.30