description: Gain insights into training and deploying your YOLOv5 and YOLOv8 models with Ultralytics HUB. Explore pre-trained models, templates and various integrations.
👋 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!
HUB is designed to be user-friendly and intuitive, with a drag-and-drop interface that allows users to easily upload their data and train new models quickly. It offers a range of pre-trained models and templates to choose from, making it easy for users to get started with training their own models. Once a model is trained, it can be easily deployed and used for real-time object detection, instance segmentation and classification 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!
- [**Quickstart**](quickstart.md). Start training and deploying YOLO models with HUB in seconds.
- [**Datasets: Preparing and Uploading**](datasets.md). Learn how to prepare and upload your datasets to HUB in YOLO format.
- [**Projects: Creating and Managing**](projects.md). Group your models into projects for improved organization.
- [**Models: Training and Exporting**](models.md). Train YOLOv5 and YOLOv8 models on your custom datasets and export them to various formats for deployment.
- [**Integrations: Options**](integrations.md). Explore different integration options for your trained models, such as TensorFlow, ONNX, OpenVINO, CoreML, and PaddlePaddle.
- [**Ultralytics HUB App**](app/index.md). Learn about the Ultralytics App for iOS and Android, which allows you to run models directly on your mobile device.
* [**iOS**](app/ios.md). Learn about YOLO CoreML models accelerated on Apple's Neural Engine on iPhones and iPads.
* [**Android**](app/android.md). Explore TFLite acceleration on mobile devices.
- [**Inference API**](inference_api.md). Understand how to use the Inference API for running your trained models in the cloud to generate predictions.