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Object detection has been gaining steam, and improvements are being made to several approaches to solving it. In the past couple of years, YOLO-based methods have been outperforming others in terms of accuracy and speed, with recent advancements such as YOLOv7 and YOLOv6 (which was released independently, after YOLOv7). However...
David Landup
Object detection is a large field in computer vision, and one of the more important applications of computer vision "in the wild". From it, instance segmentation was extracted, and is tasked with having models predict not only the label and bounding box of an object, but also the...
Object detection is a large field in computer vision, and one of the more important applications of computer vision "in the wild". Object detection isn't as standardized as image classification, mainly because most of the new developments are typically done by individual researchers, maintainers and developers, rather than...
Object detection is a large field in computer vision, and one of the more important applications of computer vision "in the wild". On one end, it can be used to build autonomous systems that navigate agents through environments - be it robots performing tasks or self-driving cars, but...
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