I want to create a Python algorithm that detects objects appearing and disappearing between 2 photos. Thos photos are not taken exactly from the same spot. My idea is to use a pretrained model that would detect all “big enough” objects in both photos and detects when one or more object appear or disappear.
I tried using YOLO but it seems to detect only objects he can categorize. As my data are not about common objects, that is not working very well.