Abstract: In this project, we use a completely deep learning based approach to solve the problem of object detection in an end-to-end fashion. The network is trained on the most challenging publicly available dataset MS COCO like (SSD, RCNN, Faster RCNN, YOLO v3, 4 etc.), on which object detection challenge is conducted annually. The objects are detected in boxes by this dataset where objects like car, bike, person, etc.
Keywords: Object detection, convolution neural network, scoring system, selective search, deep learning, MS COCO, SSD, RCNN, YOLO, OD model.
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DOI:
10.17148/IJARCCE.2020.91218
