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
[1] Aparna Bodke, Asjadurrahman Ansari, Rohan Sirsulwar, Tehsina Shaikh, Prof. K.S.Mulani, "Systematic Survey on Object Detection and Recognition using Machine Learning Techniques," International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2020.91218
