When I used eiq for target detection training, I chose the ssd_mobilenet_v3 model under BASE MODEL. Since I trained three categories of boxes, the accuracy rate during the training process has always been the highest at 75%, which will not exceed this value. I don't understand, change It becomes 66.7% with the highest accuracy of the two categories. Do I need to set any background? But I didn't find the relevant settings.
At the same time, the accuracy and loss of the validation dataset are not normal. There is no problem with the dataset, I tried it in my own neural network.
