{"url":"/method/yolov4","slug":"yolov4","name":"YOLOv4","full_name":"YOLOv4","full_name_withheld":false,"description_markdown":"**YOLOv4** is a one-stage object detection model that improves on [YOLOv3](https://paperswithcode.com/method/yolov3) with several bags of tricks and modules introduced in the literature. The components section below details the tricks and modules used.","description_state":"present","introduced_year":null,"introduced_by":{"title":"YOLOv4: Optimal Speed and Accuracy of Object Detection","paper":"/paper/yolov4-optimal-speed-and-accuracy-of-object","first_author":"Alexey Bochkovskiy","n_authors":3,"url_abs":null,"archive_paper_url":"https://paperswithcode.com/paper/yolov4-optimal-speed-and-accuracy-of-object"},"source":{"url":"https://arxiv.org/abs/2004.10934v1","title":"YOLOv4: Optimal Speed and Accuracy of Object Detection","url_on_a_paper_host":true},"code_snippet_url":"https://github.com/AlexeyAB/darknet","code_snippet_url_on_a_code_host":true,"categories":[{"area":"Computer Vision","area_id":"computer-vision","collection":"One-Stage Object Detection Models","url":"/methods/category/one-stage-object-detection-models","pwc_aliases":[]},{"area":"Computer Vision","area_id":"computer-vision","collection":"Object Detection 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