The project implements a two-stage object detector, based on Faster R-CNN which consists of two modules- Region Proposal Networks (RPN) or otherwise called rpn head and Fast R-CNN.
The network is trained to detect a set of object classes and evaluate detection accuracy using the classic metric mean AveragePrecision mAP
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JemuelStanley47/Two-Stage-Object-Detector-Faster-R-CNN
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Object Detector Faster RCNN with Feature Pyramid Network and RegNetX-400MF as the backbone.
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