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[P] Object detection using faster R-CNN

I am working on a problem where I have to identify small objects in high resolution images, and I was wondering on how to solve this problem.

Basically, I have at most a hundred high resolution images containing tiny objects I need to detect, and I was wondering if I should transform this problem into a supervised problem, where I would first label some images and then try some classification stuff, or whether I apply algorithms such as fast r-cnn.

As I cannot elaborate much more about the topic due to privacy concerns, I would like to know which approach would be the best, or how can I assess which approach to take.

submitted by /u/xOrbitz
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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.