{"provider_url":"https://hatena.blog","description":"This article is the English version of Yuta Takase's blog post. Table of contents Table of contents 1. Introduction 2. What is YOLO? 3. YOLOv8 4. YOLOv8 model size 5. Changes with YOLOv5 6. YOLOv8's building and inference execution Inference on images Inference on videos Supplement Supported video f\u2026","height":"190","width":"100%","author_url":"https://blog.hatena.ne.jp/revcomm-tech/","html":"<iframe src=\"https://hatenablog-parts.com/embed?url=https%3A%2F%2Ftech.revcomm.co.jp%2Fyolov8-introduction-en\" title=\"Introducing YoloV8: Operation and comparison to previous versions of the object detection model - RevComm Tech Blog\" class=\"embed-card embed-blogcard\" scrolling=\"no\" frameborder=\"0\" style=\"display: block; width: 100%; height: 190px; max-width: 500px; margin: 10px 0px;\"></iframe>","provider_name":"Hatena Blog","title":"Introducing YoloV8: Operation and comparison to previous versions of the object detection model","categories":["\u6280\u8853\u89e3\u8aac","Research"],"url":"https://tech.revcomm.co.jp/yolov8-introduction-en","blog_title":"RevComm Tech Blog","type":"rich","blog_url":"https://tech.revcomm.co.jp/","published":"2023-11-22 10:00:00","author_name":"revcomm-tech","image_url":"https://cdn-ak.f.st-hatena.com/images/fotolife/r/revcomm-tech/20231122/20231122100059.png","version":"1.0"}