I just finished lessons 1 & 2. In both lessons I’ve been trying to train a model to recognize 11 different species of fish. For my lesson 1 model, I hand selected 30 images of each species and got up to 88% accuracy on the validation set. After lesson 2, I downloaded around 350 images for each species and then cleaned using the techniques mentioned in the lecture & notebook. With all the additional data, I’m stuck at just better than 70% accuracy.
I’m not sure if this is normal, or if I’m doing something wrong. I guess 70% is still decent since random guessing would be under 10% accuracy, but it’s no where near the 90+% accuracy shown in the lecture. Should I keep working at this or should I keep moving with the lessons?
Notebooks can be found here: