diff --git a/.github/workflows/stale.yml b/.github/workflows/stale.yml index a22d2b65b4..f9795aa2d3 100644 --- a/.github/workflows/stale.yml +++ b/.github/workflows/stale.yml @@ -23,7 +23,7 @@ jobs: For additional resources and information, please see the links below: - **Docs**: https://docs.ultralytics.com - - **HUB**: https://hub.ultralytics.com + - **Platform**: https://platform.ultralytics.com/ultralytics/yolo26 - **Community**: https://community.ultralytics.com Feel free to inform us of any other **issues** you discover or **feature requests** that come to mind in the future. Pull Requests (PRs) are also always welcomed! @@ -38,7 +38,7 @@ jobs: For additional resources and information, please see the links below: - **Docs**: https://docs.ultralytics.com - - **HUB**: https://hub.ultralytics.com + - **Platform**: https://platform.ultralytics.com/ultralytics/yolo26 - **Community**: https://community.ultralytics.com Thank you for your contributions to YOLO 🚀 and Vision AI ⭐ diff --git a/README.md b/README.md index 905c85da02..050f5b37ed 100644 --- a/README.md +++ b/README.md @@ -1,6 +1,6 @@

- + Ultralytics YOLO banner

@@ -27,8 +27,8 @@ Find detailed documentation in the [Ultralytics Docs](https://docs.ultralytics.c Request an Enterprise License for commercial use at [Ultralytics Licensing](https://www.ultralytics.com/license). - - YOLO11 performance plots + + YOLO26 performance plots
@@ -221,8 +221,8 @@ Our key integrations with leading AI platforms extend the functionality of Ultra
- - Ultralytics HUB logo + + Ultralytics Platform logo space Weights & Biases logo @@ -234,9 +234,9 @@ Our key integrations with leading AI platforms extend the functionality of Ultra Neural Magic logo
-| Ultralytics HUB 🌟 | Weights & Biases | Comet | Neural Magic | -| :-----------------------------------------------------------------------------------------------------------------------------: | :---------------------------------------------------------------------------------------------------------------------------------: | :-------------------------------------------------------------------------------------------------------------------------------------------------------------: | :-------------------------------------------------------------------------------------------------------------------------: | -| Streamline YOLO workflows: Label, train, and deploy effortlessly with [Ultralytics HUB](https://hub.ultralytics.com/). Try now! | Track experiments, hyperparameters, and results with [Weights & Biases](https://docs.ultralytics.com/integrations/weights-biases/). | Free forever, [Comet ML](https://docs.ultralytics.com/integrations/comet/) lets you save YOLO models, resume training, and interactively visualize predictions. | Run YOLO inference up to 6x faster with [Neural Magic DeepSparse](https://docs.ultralytics.com/integrations/neural-magic/). | +| Ultralytics Platform 🌟 | Weights & Biases | Comet | Neural Magic | +| :---------------------------------------------------------------------------------------------------------------------------------------------------------: | :---------------------------------------------------------------------------------------------------------------------------------: | :-------------------------------------------------------------------------------------------------------------------------------------------------------------: | :-------------------------------------------------------------------------------------------------------------------------: | +| Streamline YOLO workflows: Label, train, and deploy effortlessly with [Ultralytics Platform](https://platform.ultralytics.com/ultralytics/yolo26). Try now! | Track experiments, hyperparameters, and results with [Weights & Biases](https://docs.ultralytics.com/integrations/weights-biases/). | Free forever, [Comet ML](https://docs.ultralytics.com/integrations/comet/) lets you save YOLO models, resume training, and interactively visualize predictions. | Run YOLO inference up to 6x faster with [Neural Magic DeepSparse](https://docs.ultralytics.com/integrations/neural-magic/). | ## 🤝 Contribute diff --git a/README.zh-CN.md b/README.zh-CN.md index bd7babb967..7407ad86fb 100644 --- a/README.zh-CN.md +++ b/README.zh-CN.md @@ -1,6 +1,6 @@

- + Ultralytics YOLO banner

@@ -27,8 +27,8 @@ 如需商业用途，请在 [Ultralytics 授权许可](https://www.ultralytics.com/license)申请企业许可证。 - - YOLO11 performance plots + + YOLO26 performance plots
@@ -221,8 +221,8 @@ Ultralytics 支持广泛的 YOLO 模型，从早期的版本如 [YOLOv3](https:/
- - Ultralytics HUB logo + + Ultralytics Platform logo space Weights & Biases logo @@ -234,9 +234,9 @@ Ultralytics 支持广泛的 YOLO 模型，从早期的版本如 [YOLOv3](https:/ Neural Magic logo
-| Ultralytics HUB 🌟 | Weights & Biases | Comet | Neural Magic | -| :-----------------------------------------------------------------------------------------------------------: | :---------------------------------------------------------------------------------------------------------: | :--------------------------------------------------------------------------------------------------------------------------------: | :----------------------------------------------------------------------------------------------------------------------: | -| 简化 YOLO 工作流程：使用 [Ultralytics HUB](https://hub.ultralytics.com/) 轻松进行标注、训练和部署。立即试用！ | 使用 [Weights & Biases](https://docs.ultralytics.com/integrations/weights-biases/) 跟踪实验、超参数和结果。 | 永久免费的 [Comet ML](https://docs.ultralytics.com/integrations/comet/) 让您能够保存 YOLO 模型、恢复训练并交互式地可视化预测结果。 | 使用 [Neural Magic DeepSparse](https://docs.ultralytics.com/integrations/neural-magic/)，将 YOLO 推理速度提高多达 6 倍。 | +| Ultralytics Platform 🌟 | Weights & Biases | Comet | Neural Magic | +| :---------------------------------------------------------------------------------------------------------------------------------------: | :---------------------------------------------------------------------------------------------------------: | :--------------------------------------------------------------------------------------------------------------------------------: | :----------------------------------------------------------------------------------------------------------------------: | +| 简化 YOLO 工作流程：使用 [Ultralytics 平台](https://platform.ultralytics.com/ultralytics/yolo26) 轻松进行标注、训练和部署。立即试用！ | 使用 [Weights & Biases](https://docs.ultralytics.com/integrations/weights-biases/) 跟踪实验、超参数和结果。 | 永久免费的 [Comet ML](https://docs.ultralytics.com/integrations/comet/) 让您能够保存 YOLO 模型、恢复训练并交互式地可视化预测结果。 | 使用 [Neural Magic DeepSparse](https://docs.ultralytics.com/integrations/neural-magic/)，将 YOLO 推理速度提高多达 6 倍。 | ## 🤝 贡献 diff --git a/docs/en/index.md b/docs/en/index.md index f3c207167f..07e89b36a4 100644 --- a/docs/en/index.md +++ b/docs/en/index.md @@ -6,7 +6,7 @@ keywords: Ultralytics, YOLO, YOLO26, YOLO11, object detection, image segmentatio


-Ultralytics YOLO banner +Ultralytics YOLO banner

中文 · 한국어 · diff --git a/examples/README.md b/examples/README.md index d2c0225775..d4f3bb894a 100644 --- a/examples/README.md +++ b/examples/README.md @@ -47,4 +47,4 @@ We actively encourage contributions from our vibrant community! Sharing your exa - As a contributor, be prepared to offer support and address [issues](https://github.com/ultralytics/ultralytics/issues) related to your example. 4. **Submit a Pull Request:** Create a [pull request (PR)](https://github.com/ultralytics/ultralytics/pulls) targeting the `main` branch of the official Ultralytics repository. Use the title prefix `[Example]` (e.g., `[Example] Add YOLOv8 Pose Estimation on Raspberry Pi`). -For more comprehensive guidelines on contributing code, documentation, or examples, please refer to our [Contributing Guide](https://docs.ultralytics.com/help/contributing/). We appreciate your efforts to enhance the Ultralytics ecosystem! If you have questions, feel free to open an issue or PR, and the team will be happy to assist. Check out the [Ultralytics Blog](https://www.ultralytics.com/blog) for more insights and updates, and explore [Ultralytics HUB](https://www.ultralytics.com/hub) for streamlined model training and deployment. +For more comprehensive guidelines on contributing code, documentation, or examples, please refer to our [Contributing Guide](https://docs.ultralytics.com/help/contributing/). We appreciate your efforts to enhance the Ultralytics ecosystem! If you have questions, feel free to open an issue or PR, and the team will be happy to assist. Check out the [Ultralytics Blog](https://www.ultralytics.com/blog) for more insights and updates, and explore [Ultralytics Platform](https://platform.ultralytics.com/ultralytics/yolo26) for streamlined model training and deployment.