This dataset contains images of 120 breeds of dogs from around the world. Total number of images is 20,580.
The prediction model consist of pre-trained MobileNetV3 model, 2 extra inception blocks and 1 short connection. That's how the model looks like:
The model is saved in best_model.h5 file.
Test accuracy of the model is 0.946, top 2 accuracy is 0.9764