Hello Fast AI Community,
I have just started watching the v2 version of fast.ai course (just finished 30 minutes of lesson 1 - first video).
Validation set - 10 images
Training set - 20 images
Cricket Bat had rough value (validation set random value) of 0.8 while for Baseball Bat had a value of around 0.5.
Just thought of sharing the results of the experiment.
I assume with more training sets or better quality of the images the results would be better.
EDIT:
I change the batch size parameter and I was able to get better accuracy.
0 - baseball bat 1 - cricket bat
bs=5
data = ImageClassifierData.from_paths(path, tfms=tfms_from_model(arch, sz), bs=bs)