Abstract
For the current problem of large number of parameters and large computation of the target detection network, the lightness improvement is carried out on the basis of yolov5s, and the dynamic convolution of OD is introduced to compensate for the accuracy degradation caused by the lightness, and the Map0.5 of the improved Yolov5s- EfficientNetV2-OD network reaches 82.8 through comparison experiments, and the FPS is 59 frames per second. The experiment proves that the network maintains the detection accuracy and detection speed of the network for small targets on the basis of light weighting. It is suitable for deployment on vehicle-mounted devices.
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