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[P] Training Mask RCNN for recognizing objects in large images

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!

submitted by /u/WesternHarmonica
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Toronto AI is a social and collaborative hub to unite AI innovators of Toronto and surrounding areas. We explore AI technologies in digital art and music, healthcare, marketing, fintech, vr, robotics and more. Toronto AI was founded by Dave MacDonald and Patrick O'Mara.