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In this project, we will utilise the YOLO object detector to detect objects in images using Deep Learning, OpenCV, and Python. By applying object detection, we will determine what is in an image and where a given object resides. We’ll be using YOLOv3 in this code, in particular, YOLO trained on the COCO dataset. The COCO dataset consists of 80 labels.
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PhD in Information Technology from the University of Newcastle, Australia talking about artificial intelligence
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