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.
One update from R&D: this issue will be fixed in eIQ protal 2.4.8.
could you please provide me with the dataset and a list of the exact settings you use, so that I can attempt to reproduce your issue and report it to the development team in case it's a bug in the tool?
Also, please let me know the version of your eIQ Portal installation.