Object Detection with YOLOv3
Object detection is a task that involves identifying the presence, location, and type of one or more objects in a given dataset, and builds upon methods for object recognition, localization, and classification.
One of the notable deep learning techniques for achieving state-of-the-art results for object detection is the 'You Only Look Once' (YOLO) family of convolutional neural networks. The YOLO family of models is a series of end-to-end deep models designed for fast object detection, developed by Joseph Redmon, et al., and first described in You Only Look Once: Unified, Real-Time Object Detection.
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