I have gathered some thousands of unlabelled photos of sewers in my hometown and would like to classify them (e.g. broken, cracked, clean, clogged, etc.).
From what I gather I need to first manually label some (hundreds?) of them and train the rest but the manual labelling seems like a lot of work already.
I was wondering if there’s a way to train the unlabelled images as-is and automatically get the images pseudo-labelled / sorted into arbitrary categories?
Hope this makes sense!