I try to classify black/white images of silhouettes (of animal tracks). Size of the footprints matters a lot, so I want to include this extra information. I have a list with scale factors (which tell me how long one pixel is in reality for each image). I see two options now:
I could make a separate layer for the scale factor data, and then concatenate image and scale factor output (which, I think, is possible using functional API instead of sequential model).
I could program a script that puts black scale bars in a standardised position into every image.
Which of those would be the best approach?
Thanks a lot!