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YOLOv7: A deep dive into the current state-of-the-art for object detection
Nov. 25, 2022, 7:57 p.m. | Chris Hughes
Towards Data Science - Medium towardsdatascience.com
YOLOv7: A Deep Dive into the Current State-of-the-Art for Object Detection
Everything you need to know to use YOLOv7 in custom training scripts
This article was co-authored by Chris Hughes & Bernat Puig Camps
Shortly after its publication, YOLOv7 is the fastest and most accurate real-time object detection model for computer vision tasks. The official paper demonstrates how this improved architecture surpasses all previous YOLO versions — as well as all other object detection models — in terms of both …
art deep dive deep-dives deep learning detection editors pick object-detection state yolov7
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