Absolutely loved the course - working through it again more slowly and in lesson 3 (around 54:30), someone asks if we’ll cover multiple object classification. Jeremy says we’ll likely get to it in Part 2.
A lot of part 2 went over my head but did we get to this - how to classify multiple objects in an image? Like there are 3 cats in this photo type of thing? I suppose the stuff in the final lesson on the Tiramisu architecture for segmentation is this if you counted distinct segment blobs but there would be obvious problems with this (disjoint blobs for single object e.g. person behind a pole OR single blog for multiple objects e.g. cats together on a couch)
Any pointers for multiple-object classification would be appreicated