Is it possible to automatically generate a Blender material with e.g. photogrammetry to accurately render 2D images from a 3D scene?

I'm currently working on a binpick project that uses a object detection neural network to segment out parts in a 2D image.

The problem is, that to train this network I have to take a huge amount of pictures, while shuffling the contents of the bin between each shot and then annotate all of them. This takes a LOT of time.

I was wondering if there is a way to simulate those 2D images. I did found [this paper](https://www.researchgate.net/publication/347520276_Generic_instance_segmentation_for_object-oriented_bin-picking) that …

3d blender computervision images