I completed the training using a custom model and uploaded the model weight file to
https://www.amebaiot.com/en/amebapro2-ai-convert-model/
After model conversion, the recognition performance burned into amb82 mini is extremely poor.
I tested darknet yolov3-tiny and yolov7 Pytorch respectively. When I confirmed the performance during training, the recognition performance was very good, and both mAP and accuracy were very high.
However, when I converted the training weights into models respectively, the recognition effect was very poor, and even classes other than my custom ones appeared (example: I only had two classes in training, so logically there should only be person and bicycle, but other classes appeared when I was identifying it)
I would like to know if anyone has the same problem as me and how to solve it.