I call it Eyetrain. I would love feedback.
It uses float labels, not discrete categories.
I’m waiting for a larger dataset which is coming within a month’s time.
Two issues:
-
The images appear distorted when displayed in the Image Bunch… I hope they are not being read that way. Perhaps a change to get_transforms() will fix it?
-
log_preds = learn.predict(img)
This is the last line. It gives me a tuple, which I do not know what to do with. e^log_preds[0] = PLR seems logical but… it usually gives me a number >0.8 which is NOT close to the labels the model was taught off.