<ahref="https://github.com/ultralytics/hub/actions/workflows/ci.yaml"><imgsrc="https://github.com/ultralytics/hub/actions/workflows/ci.yaml/badge.svg"alt="CI CPU"></a><ahref="https://colab.research.google.com/github/ultralytics/hub/blob/main/hub.ipynb"><imgsrc="https://colab.research.google.com/assets/colab-badge.svg"alt="Open In Colab"></a><ahref="https://ultralytics.com/discord"><imgalt="Discord"src="https://img.shields.io/discord/1089800235347353640?logo=discord&logoColor=white&label=Discord&color=blue"></a>
</div>
👋 Hello from the [Ultralytics](https://ultralytics.com/) Team! We've been working hard these last few months to launch [Ultralytics HUB](https://bit.ly/ultralytics_hub), a new web tool for training and deploying all your YOLOv5 and YOLOv8 🚀 models from one spot!
We hope that the resources here will help you get the most out of HUB. Please browse the HUB <ahref="https://docs.ultralytics.com/">Docs</a> for details, raise an issue on <ahref="https://github.com/ultralytics/hub/issues/new/choose">GitHub</a> for support, and join our <ahref="https://ultralytics.com/discord">Discord</a> community for questions and discussions!
[Ultralytics HUB](https://bit.ly/ultralytics_hub) is designed to be user-friendly and intuitive, allowing users to quickly upload their datasets and train new YOLO models. It also offers a range of pre-trained models to choose from, making it extremely easy for users to get started. Once a model is trained, it can be effortlessly previewed in the [Ultralytics HUB App](app/index.md) before being deployed for real-time classification, object detection, and instance segmentation tasks.
We hope that the resources here will help you get the most out of HUB. Please browse the HUB <ahref="https://docs.ultralytics.com/hub">Docs</a> for details, raise an issue on <ahref="https://github.com/ultralytics/hub/issues/new/choose">GitHub</a> for support, and join our <ahref="https://ultralytics.com/discord">Discord</a> community for questions and discussions!