{"provider_name":"Hatena Blog","published":"2021-12-31 20:14:37","url":"https://randommemory.hatenablog.com/entry/2021/12/31/201437","type":"rich","blog_title":"\u3089\u3093\u3060\u3080\u306a\u8a18\u61b6","html":"<iframe src=\"https://hatenablog-parts.com/embed?url=https%3A%2F%2Frandommemory.hatenablog.com%2Fentry%2F2021%2F12%2F31%2F201437\" title=\"YOLOv5 \u306e\u8ad6\u6587 - \u3089\u3093\u3060\u3080\u306a\u8a18\u61b6\" class=\"embed-card embed-blogcard\" scrolling=\"no\" frameborder=\"0\" style=\"display: block; width: 100%; height: 190px; max-width: 500px; margin: 10px 0px;\"></iframe>","author_url":"https://blog.hatena.ne.jp/derwind/","provider_url":"https://hatena.blog","description":"where is yolov5 paper? \u00b7 Issue #1333 \u00b7 ultralytics/yolov5 \u00b7 GitHub \u3092\u898b\u308b\u9650\u308a\u30012021 \u5e74\u306f\u7d42\u308f\u308b\u3051\u3069\u307e\u3060\u8ad6\u6587\u3068\u3057\u3066\u306f\u51fa\u3066\u304d\u305d\u3046\u306b\u306a\u304f\u3066\u3001\u4ee3\u308f\u308a\u306b [2108.11539] TPH-YOLOv5: Improved YOLOv5 Based on Transformer Prediction Head for Object Detection on Drone-captured Scenarios \u3092\u898b\u305f\u3089\u60c5\u5831\u3068\u3057\u3066\u89e6\u308c\u3089\u308c\u3066\u3044\u308b\u3088\u3068\u3044\u3046\u611f\u3058\u306e\u3088\u3046\u3067\u3002","title":"YOLOv5 \u306e\u8ad6\u6587","categories":["machine_learning"],"height":"190","blog_url":"https://randommemory.hatenablog.com/","image_url":null,"version":"1.0","author_name":"derwind","width":"100%"}