[Ultralytics](https://ultralytics.com) [YOLOv8](https://github.com/ultralytics/ultralytics) is a cutting-edge, state-of-the-art (SOTA) model that builds upon the success of previous YOLO versions and introduces new features and improvements to further boost performance and flexibility. YOLOv8 is designed to be fast, accurate, and easy to use, making it an excellent choice for a wide range of object detection and tracking, instance segmentation, image classification and pose estimation tasks.
We hope that the resources here will help you get the most out of YOLOv8. Please browse the YOLOv8 <ahref="https://docs.ultralytics.com/">Docs</a> for details, raise an issue on <ahref="https://github.com/ultralytics/ultralytics/issues/new/choose">GitHub</a> for support, and join our <ahref="https://discord.gg/2wNGbc6g9X">Discord</a> community for questions and discussions!
We hope that the resources here will help you get the most out of YOLOv8. Please browse the YOLOv8 <ahref="https://docs.ultralytics.com/">Docs</a> for details, raise an issue on <ahref="https://github.com/ultralytics/ultralytics/issues/new/choose">GitHub</a> for support, and join our <ahref="https://ultralytics.com/discord">Discord</a> community for questions and discussions!
To request an Enterprise License please complete the form at [Ultralytics Licensing](https://ultralytics.com/license).
@ -45,7 +45,7 @@ To request an Enterprise License please complete the form at [Ultralytics Licens
@ -241,7 +241,7 @@ Ultralytics offers two licensing options to accommodate diverse use cases:
## <divalign="center">Contact</div>
For Ultralytics bug reports and feature requests please visit [GitHub Issues](https://github.com/ultralytics/ultralytics/issues), and join our [Discord](https://discord.gg/2wNGbc6g9X) community for questions and discussions!
For Ultralytics bug reports and feature requests please visit [GitHub Issues](https://github.com/ultralytics/ultralytics/issues), and join our [Discord](https://ultralytics.com/discord) community for questions and discussions!
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@ -263,6 +263,6 @@ For Ultralytics bug reports and feature requests please visit [GitHub Issues](ht
@ -29,7 +29,7 @@ easily upload their data and train new models quickly. It offers a range of pre-
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://discord.gg/2wNGbc6g9X">Discord</a> community for questions and discussions!
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.
"Welcome to the [Ultralytics](https://ultralytics.com/) HUB notebook! \n",
"\n",
"This notebook allows you to train [YOLOv5](https://github.com/ultralytics/yolov5) and [YOLOv8](https://github.com/ultralytics/ultralytics) 🚀 models using [HUB](https://hub.ultralytics.com/). Please browse the YOLOv8 <a href=\"https://docs.ultralytics.com\">Docs</a> for details, raise an issue on <a href=\"https://github.com/ultralytics/ultralytics/issues/new/choose\">GitHub</a> for support, and join our <a href=\"https://discord.gg/2wNGbc6g9X\">Discord</a> community for questions and discussions!\n",
"This notebook allows you to train [YOLOv5](https://github.com/ultralytics/yolov5) and [YOLOv8](https://github.com/ultralytics/ultralytics) 🚀 models using [HUB](https://hub.ultralytics.com/). Please browse the YOLOv8 <a href=\"https://docs.ultralytics.com\">Docs</a> for details, raise an issue on <a href=\"https://github.com/ultralytics/ultralytics/issues/new/choose\">GitHub</a> for support, and join our <a href=\"https://ultralytics.com/discord\">Discord</a> community for questions and discussions!\n",
"YOLOv8 models are fast, accurate, and easy to use, making them ideal for various object detection and image segmentation tasks. They can be trained on large datasets and run on diverse hardware platforms, from CPUs to GPUs.\n",
"\n",
"We hope that the resources in this notebook will help you get the most out of YOLOv8. Please browse the YOLOv8 <a href=\"https://docs.ultralytics.com/\">Docs</a> for details, raise an issue on <a href=\"https://github.com/ultralytics/ultralytics\">GitHub</a> for support, and join our <a href=\"https://discord.gg/2wNGbc6g9X\">Discord</a> community for questions and discussions!\n",
"We hope that the resources in this notebook will help you get the most out of YOLOv8. Please browse the YOLOv8 <a href=\"https://docs.ultralytics.com/\">Docs</a> for details, raise an issue on <a href=\"https://github.com/ultralytics/ultralytics\">GitHub</a> for support, and join our <a href=\"https://ultralytics.com/discord\">Discord</a> community for questions and discussions!\n",
Glenn Jocher
1 year ago
committed by
GitHub