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@@ -13,7 +13,13 @@ |
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<a href="https://www.kaggle.com/ultralytics/yolov5"><img src="https://kaggle.com/static/images/open-in-kaggle.svg" alt="Open In Kaggle"></a> |
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<a href="https://join.slack.com/t/ultralytics/shared_invite/zt-w29ei8bp-jczz7QYUmDtgo6r6KcMIAg"><img src="https://img.shields.io/badge/Slack-Join_Forum-blue.svg?logo=slack" alt="Join Forum"></a> |
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</div> |
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<br> |
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<p> |
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YOLOv5 🚀 is a family of object detection architectures and models pretrained on the COCO dataset, and represents <a href="https://ultralytics.com">Ultralytics</a> |
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open-source research into future vision AI methods, incorporating lessons learned and best practices evolved over thousands of hours of research and development. |
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</p> |
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<div align="center"> |
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<a href="https://github.com/ultralytics"> |
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<img src="https://github.com/ultralytics/yolov5/releases/download/v1.0/logo-social-github.png" width="2%"/> |
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@@ -44,12 +50,6 @@ |
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</a> |
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</div> |
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<br> |
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<p> |
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YOLOv5 🚀 is a family of object detection architectures and models pretrained on the COCO dataset, and represents <a href="https://ultralytics.com">Ultralytics</a> |
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open-source research into future vision AI methods, incorporating lessons learned and best practices evolved over thousands of hours of research and development. |
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</p> |
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<a align="center" href="https://ultralytics.com/yolov5" target="_blank"> |
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<img width="800" src="https://github.com/ultralytics/yolov5/releases/download/v1.0/banner-api.png"></a> |