Hello, we are working on Android application.
For model creation we are using Google Colab.
We created our model which contains 8 classes. Unfortunatelly we have issue with detection of more then 4 classes. Our first model was containing only 4 clases - all single word named. After our dataset update we added 4 more classes into the model, but in application we are still able to detect only 4 previous (old) classes. The new clases contains name in this way: “car-main” etc. could that cause the problem?
In the Google colab after data validatations we are getting all 8 classes with validation score . In our app we are working with Task Library for connection with .tflite model.
Edit: Things what I forget mention:
First 4 classes have validation score in this range: from 70 % to 30 %.
Last 4 classes have validation score in this range: from 28 % to 11 %.
-both after quantization.
We cannot detect new classes even on the test image.
Tensorflow version: 2.5.0.
Thank you for any suggestions!