Hi guys! I’ve started a project using Facebook’s Mask R-CNN. The goal is to have it recognize certain small objects from large (HD+) images.

I’m a bit worried how long it will take to train with original image size. Does it make much difference if I crop the objects out of the image and train them separately? It still should be able to work with large images though.

I am using pre-trained COCO weights and the tool I use for labeling is VGG Image Annotator. Thanks in advance!