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Restore Colab/Kaggle/Binder/Gradient badges as fixed-width shields (markdown)

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  1. README.md +2 -0
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@@ -24,6 +24,8 @@ library_name: ultralytics
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  [![Ultralytics CI](https://github.com/ultralytics/ultralytics/actions/workflows/ci.yml/badge.svg)](https://github.com/ultralytics/ultralytics/actions/workflows/ci.yml) [![Ultralytics Downloads](https://img.shields.io/pepy/dt/ultralytics?color=blue)](https://clickpy.clickhouse.com/dashboard/ultralytics) [![Ultralytics Discord](https://img.shields.io/discord/1089800235347353640?logo=discord&logoColor=white&label=Discord&color=blue)](https://discord.com/invite/ultralytics) [![Ultralytics Forums](https://img.shields.io/discourse/users?server=https%3A%2F%2Fcommunity.ultralytics.com&logo=discourse&label=Forums&color=blue)](https://community.ultralytics.com/) [![Ultralytics Reddit](https://img.shields.io/reddit/subreddit-subscribers/ultralytics?style=flat&logo=reddit&logoColor=white&label=Reddit&color=blue)](https://www.reddit.com/r/ultralytics/)
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  [Ultralytics](https://www.ultralytics.com/) creates cutting-edge, state-of-the-art (SOTA) [YOLO models](https://www.ultralytics.com/yolo) built on years of foundational research in computer vision and AI. Constantly updated for performance and flexibility, our models are **fast**, **accurate**, and **easy to use**. They excel at [object detection](https://docs.ultralytics.com/tasks/detect), [tracking](https://docs.ultralytics.com/modes/track), [instance segmentation](https://docs.ultralytics.com/tasks/segment), [semantic segmentation](https://docs.ultralytics.com/tasks/semantic), [image classification](https://docs.ultralytics.com/tasks/classify), and [pose estimation](https://docs.ultralytics.com/tasks/pose) tasks.
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  Find detailed documentation in the [Ultralytics Docs](https://docs.ultralytics.com/). Get support via [GitHub Issues](https://github.com/ultralytics/ultralytics/issues/new/choose). Join discussions on [Discord](https://discord.com/invite/ultralytics), [Reddit](https://www.reddit.com/r/ultralytics/), and the [Ultralytics Community Forums](https://community.ultralytics.com/)!
 
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  [![Ultralytics CI](https://github.com/ultralytics/ultralytics/actions/workflows/ci.yml/badge.svg)](https://github.com/ultralytics/ultralytics/actions/workflows/ci.yml) [![Ultralytics Downloads](https://img.shields.io/pepy/dt/ultralytics?color=blue)](https://clickpy.clickhouse.com/dashboard/ultralytics) [![Ultralytics Discord](https://img.shields.io/discord/1089800235347353640?logo=discord&logoColor=white&label=Discord&color=blue)](https://discord.com/invite/ultralytics) [![Ultralytics Forums](https://img.shields.io/discourse/users?server=https%3A%2F%2Fcommunity.ultralytics.com&logo=discourse&label=Forums&color=blue)](https://community.ultralytics.com/) [![Ultralytics Reddit](https://img.shields.io/reddit/subreddit-subscribers/ultralytics?style=flat&logo=reddit&logoColor=white&label=Reddit&color=blue)](https://www.reddit.com/r/ultralytics/)
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+ [![Run on Gradient](https://img.shields.io/badge/Run_on-Gradient-blue?logo=paperspace&logoColor=white)](https://console.paperspace.com/github/ultralytics/ultralytics) [![Open In Colab](https://img.shields.io/badge/Open_in-Colab-blue?logo=googlecolab&logoColor=white)](https://colab.research.google.com/github/ultralytics/ultralytics/blob/main/examples/tutorial.ipynb) [![Open In Kaggle](https://img.shields.io/badge/Open_in-Kaggle-blue?logo=kaggle&logoColor=white)](https://www.kaggle.com/models/ultralytics/yolov8) [![Launch Binder](https://img.shields.io/badge/Launch-Binder-blue?logo=jupyter&logoColor=white)](https://mybinder.org/v2/gh/ultralytics/ultralytics/HEAD?labpath=examples%2Ftutorial.ipynb)
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  [Ultralytics](https://www.ultralytics.com/) creates cutting-edge, state-of-the-art (SOTA) [YOLO models](https://www.ultralytics.com/yolo) built on years of foundational research in computer vision and AI. Constantly updated for performance and flexibility, our models are **fast**, **accurate**, and **easy to use**. They excel at [object detection](https://docs.ultralytics.com/tasks/detect), [tracking](https://docs.ultralytics.com/modes/track), [instance segmentation](https://docs.ultralytics.com/tasks/segment), [semantic segmentation](https://docs.ultralytics.com/tasks/semantic), [image classification](https://docs.ultralytics.com/tasks/classify), and [pose estimation](https://docs.ultralytics.com/tasks/pose) tasks.
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  Find detailed documentation in the [Ultralytics Docs](https://docs.ultralytics.com/). Get support via [GitHub Issues](https://github.com/ultralytics/ultralytics/issues/new/choose). Join discussions on [Discord](https://discord.com/invite/ultralytics), [Reddit](https://www.reddit.com/r/ultralytics/), and the [Ultralytics Community Forums](https://community.ultralytics.com/)!