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Fix HUB link https://ultralytics.com/hub (#13884)

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Co-authored-by: Mughees Ahmad <itsmughees@gmail.com>
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10
README.md
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@ -38,7 +38,7 @@ To request an Enterprise License please complete the form at [Ultralytics Licens
<img src="https://github.com/ultralytics/assets/raw/main/social/logo-transparent.png" width="2%" alt="space">
<a href="https://www.tiktok.com/@ultralytics"><img src="https://github.com/ultralytics/assets/raw/main/social/logo-social-tiktok.png" width="2%" alt="Ultralytics TikTok"></a>
<img src="https://github.com/ultralytics/assets/raw/main/social/logo-transparent.png" width="2%" alt="space">
<a href="https://ultralytics.com/bilibili"><img src="https://github.com/ultralytics/assets/raw/main/social/logo-social-bilibili.png" width="2%" alt="Ultralytics Instagram"></a>
<a href="https://ultralytics.com/bilibili"><img src="https://github.com/ultralytics/assets/raw/main/social/logo-social-bilibili.png" width="2%" alt="Ultralytics BiliBili"></a>
<img src="https://github.com/ultralytics/assets/raw/main/social/logo-transparent.png" width="2%" alt="space">
<a href="https://ultralytics.com/discord"><img src="https://github.com/ultralytics/assets/raw/main/social/logo-social-discord.png" width="2%" alt="Ultralytics Discord"></a>
</div>
@ -229,7 +229,7 @@ See [Classification Docs](https://docs.ultralytics.com/tasks/classify/) for usag
Our key integrations with leading AI platforms extend the functionality of Ultralytics' offerings, enhancing tasks like dataset labeling, training, visualization, and model management. Discover how Ultralytics, in collaboration with [Roboflow](https://roboflow.com/?ref=ultralytics), ClearML, [Comet](https://bit.ly/yolov8-readme-comet), Neural Magic and [OpenVINO](https://docs.ultralytics.com/integrations/openvino), can optimize your AI workflow.
<br>
<a href="https://bit.ly/ultralytics_hub" target="_blank">
<a href="https://ultralytics.com/hub" target="_blank">
<img width="100%" src="https://github.com/ultralytics/assets/raw/main/yolov8/banner-integrations.png" alt="Ultralytics active learning integrations"></a>
<br>
<br>
@ -254,9 +254,9 @@ Our key integrations with leading AI platforms extend the functionality of Ultra
## <div align="center">Ultralytics HUB</div>
Experience seamless AI with [Ultralytics HUB](https://bit.ly/ultralytics_hub) ⭐, the all-in-one solution for data visualization, YOLOv5 and YOLOv8 🚀 model training and deployment, without any coding. Transform images into actionable insights and bring your AI visions to life with ease using our cutting-edge platform and user-friendly [Ultralytics App](https://ultralytics.com/app_install). Start your journey for **Free** now!
Experience seamless AI with [Ultralytics HUB](https://ultralytics.com/hub) ⭐, the all-in-one solution for data visualization, YOLOv5 and YOLOv8 🚀 model training and deployment, without any coding. Transform images into actionable insights and bring your AI visions to life with ease using our cutting-edge platform and user-friendly [Ultralytics App](https://ultralytics.com/app_install). Start your journey for **Free** now!
<a href="https://bit.ly/ultralytics_hub" target="_blank">
<a href="https://ultralytics.com/hub" target="_blank">
<img width="100%" src="https://github.com/ultralytics/assets/raw/main/im/ultralytics-hub.png" alt="Ultralytics HUB preview image"></a>
## <div align="center">Contribute</div>
@ -291,7 +291,7 @@ For Ultralytics bug reports and feature requests please visit [GitHub Issues](ht
<img src="https://github.com/ultralytics/assets/raw/main/social/logo-transparent.png" width="3%" alt="space">
<a href="https://www.tiktok.com/@ultralytics"><img src="https://github.com/ultralytics/assets/raw/main/social/logo-social-tiktok.png" width="3%" alt="Ultralytics TikTok"></a>
<img src="https://github.com/ultralytics/assets/raw/main/social/logo-transparent.png" width="3%" alt="space">
<a href="https://ultralytics.com/bilibili"><img src="https://github.com/ultralytics/assets/raw/main/social/logo-social-bilibili.png" width="3%" alt="Ultralytics Instagram"></a>
<a href="https://ultralytics.com/bilibili"><img src="https://github.com/ultralytics/assets/raw/main/social/logo-social-bilibili.png" width="3%" alt="Ultralytics BiliBili"></a>
<img src="https://github.com/ultralytics/assets/raw/main/social/logo-transparent.png" width="3%" alt="space">
<a href="https://ultralytics.com/discord"><img src="https://github.com/ultralytics/assets/raw/main/social/logo-social-discord.png" width="3%" alt="Ultralytics Discord"></a>
</div>

10
README.zh-CN.md
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@ -38,7 +38,7 @@
<img src="https://github.com/ultralytics/assets/raw/main/social/logo-transparent.png" width="2%" alt="space">
<a href="https://www.tiktok.com/@ultralytics"><img src="https://github.com/ultralytics/assets/raw/main/social/logo-social-tiktok.png" width="2%" alt="Ultralytics TikTok"></a>
<img src="https://github.com/ultralytics/assets/raw/main/social/logo-transparent.png" width="2%" alt="space">
<a href="https://ultralytics.com/bilibili"><img src="https://github.com/ultralytics/assets/raw/main/social/logo-social-bilibili.png" width="2%" alt="Ultralytics Instagram"></a>
<a href="https://ultralytics.com/bilibili"><img src="https://github.com/ultralytics/assets/raw/main/social/logo-social-bilibili.png" width="2%" alt="Ultralytics BiliBili"></a>
<img src="https://github.com/ultralytics/assets/raw/main/social/logo-transparent.png" width="2%" alt="space">
<a href="https://ultralytics.com/discord"><img src="https://github.com/ultralytics/assets/raw/main/social/logo-social-discord.png" width="2%" alt="Ultralytics Discord"></a>
</div>
@ -231,7 +231,7 @@ Ultralytics 提供了 YOLOv8 的交互式笔记本，涵盖训练、验证、跟
我们与领先的AI平台的关键整合扩展了Ultralytics产品的功能，增强了数据集标签化、训练、可视化和模型管理等任务。探索Ultralytics如何与[Roboflow](https://roboflow.com/?ref=ultralytics)、ClearML、[Comet](https://bit.ly/yolov8-readme-comet)、Neural Magic以及[OpenVINO](https://docs.ultralytics.com/integrations/openvino)合作，优化您的AI工作流程。
<br>
<a href="https://bit.ly/ultralytics_hub" target="_blank">
<a href="https://ultralytics.com/hub" target="_blank">
<img width="100%" src="https://github.com/ultralytics/assets/raw/main/yolov8/banner-integrations.png" alt="Ultralytics active learning integrations"></a>
<br>
<br>
@ -256,9 +256,9 @@ Ultralytics 提供了 YOLOv8 的交互式笔记本，涵盖训练、验证、跟
## <div align="center">Ultralytics HUB</div>
体验 [Ultralytics HUB](https://bit.ly/ultralytics_hub) ⭐ 带来的无缝 AI，这是一个一体化解决方案，用于数据可视化、YOLOv5 和即将推出的 YOLOv8 🚀 模型训练和部署，无需任何编码。通过我们先进的平台和用户友好的 [Ultralytics 应用程序](https://ultralytics.com/app_install)，轻松将图像转化为可操作的见解，并实现您的 AI 愿景。现在就开始您的**免费**之旅！
体验 [Ultralytics HUB](https://ultralytics.com/hub) ⭐ 带来的无缝 AI，这是一个一体化解决方案，用于数据可视化、YOLOv5 和即将推出的 YOLOv8 🚀 模型训练和部署，无需任何编码。通过我们先进的平台和用户友好的 [Ultralytics 应用程序](https://ultralytics.com/app_install)，轻松将图像转化为可操作的见解，并实现您的 AI 愿景。现在就开始您的**免费**之旅！
<a href="https://bit.ly/ultralytics_hub" target="_blank">
<a href="https://ultralytics.com/hub" target="_blank">
<img width="100%" src="https://github.com/ultralytics/assets/raw/main/im/ultralytics-hub.png" alt="Ultralytics HUB preview image"></a>
## <div align="center">贡献</div>
@ -293,7 +293,7 @@ Ultralytics 提供两种许可证选项以适应各种使用场景：
<img src="https://github.com/ultralytics/assets/raw/main/social/logo-transparent.png" width="3%" alt="space">
<a href="https://www.tiktok.com/@ultralytics"><img src="https://github.com/ultralytics/assets/raw/main/social/logo-social-tiktok.png" width="3%" alt="Ultralytics TikTok"></a>
<img src="https://github.com/ultralytics/assets/raw/main/social/logo-transparent.png" width="3%" alt="space">
<a href="https://ultralytics.com/bilibili"><img src="https://github.com/ultralytics/assets/raw/main/social/logo-social-bilibili.png" width="3%" alt="Ultralytics Instagram"></a>
<a href="https://ultralytics.com/bilibili"><img src="https://github.com/ultralytics/assets/raw/main/social/logo-social-bilibili.png" width="3%" alt="Ultralytics BiliBili"></a>
<img src="https://github.com/ultralytics/assets/raw/main/social/logo-transparent.png" width="3%" alt="space">
<a href="https://ultralytics.com/discord"><img src="https://github.com/ultralytics/assets/raw/main/social/logo-social-discord.png" width="3%" alt="Ultralytics Discord"></a>
</div>

2
docs/README.md
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@ -139,7 +139,7 @@ For bug reports and feature requests, navigate to [GitHub Issues](https://github
<img src="https://github.com/ultralytics/assets/raw/main/social/logo-transparent.png" width="3%" alt="space">
<a href="https://www.tiktok.com/@ultralytics"><img src="https://github.com/ultralytics/assets/raw/main/social/logo-social-tiktok.png" width="3%" alt="Ultralytics TikTok"></a>
<img src="https://github.com/ultralytics/assets/raw/main/social/logo-transparent.png" width="3%" alt="space">
<a href="https://ultralytics.com/bilibili"><img src="https://github.com/ultralytics/assets/raw/main/social/logo-social-bilibili.png" width="3%" alt="Ultralytics Instagram"></a>
<a href="https://ultralytics.com/bilibili"><img src="https://github.com/ultralytics/assets/raw/main/social/logo-social-bilibili.png" width="3%" alt="Ultralytics BiliBili"></a>
<img src="https://github.com/ultralytics/assets/raw/main/social/logo-transparent.png" width="3%" alt="space">
<a href="https://ultralytics.com/discord"><img src="https://github.com/ultralytics/assets/raw/main/social/logo-social-discord.png" width="3%" alt="Ultralytics Discord"></a>
</div>

4
docs/en/hub/app/android.md
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@ -6,7 +6,7 @@ keywords: Ultralytics, Android app, real-time object detection, YOLO models, Ten
# Ultralytics Android App: Real-time Object Detection with YOLO Models
<a href="https://bit.ly/ultralytics_hub" target="_blank">
<a href="https://ultralytics.com/hub" target="_blank">
<img width="100%" src="https://user-images.githubusercontent.com/26833433/281124469-6b3b0945-dbb1-44c8-80a9-ef6bc778b299.jpg" alt="Ultralytics HUB preview image"></a>
<br>
<div align="center">
@ -20,7 +20,7 @@ keywords: Ultralytics, Android app, real-time object detection, YOLO models, Ten
<img src="https://github.com/ultralytics/assets/raw/main/social/logo-transparent.png" width="3%" alt="space">
<a href="https://www.tiktok.com/@ultralytics"><img src="https://github.com/ultralytics/assets/raw/main/social/logo-social-tiktok.png" width="3%" alt="Ultralytics TikTok"></a>
<img src="https://github.com/ultralytics/assets/raw/main/social/logo-transparent.png" width="3%" alt="space">
<a href="https://ultralytics.com/bilibili"><img src="https://github.com/ultralytics/assets/raw/main/social/logo-social-bilibili.png" width="3%" alt="Ultralytics Instagram"></a>
<a href="https://ultralytics.com/bilibili"><img src="https://github.com/ultralytics/assets/raw/main/social/logo-social-bilibili.png" width="3%" alt="Ultralytics BiliBili"></a>
<img src="https://github.com/ultralytics/assets/raw/main/social/logo-transparent.png" width="3%" alt="space">
<a href="https://ultralytics.com/discord"><img src="https://github.com/ultralytics/assets/raw/main/social/logo-social-discord.png" width="3%" alt="Ultralytics Discord"></a>
<br>

4
docs/en/hub/app/index.md
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@ -6,7 +6,7 @@ keywords: Ultralytics HUB, YOLO models, mobile app, iOS, Android, hardware accel
# Ultralytics HUB App
<a href="https://bit.ly/ultralytics_hub" target="_blank">
<a href="https://ultralytics.com/hub" target="_blank">
<img width="100%" src="https://github.com/ultralytics/assets/raw/main/im/ultralytics-hub.png" alt="Ultralytics HUB preview image"></a>
<br>
<div align="center">
@ -20,7 +20,7 @@ keywords: Ultralytics HUB, YOLO models, mobile app, iOS, Android, hardware accel
<img src="https://github.com/ultralytics/assets/raw/main/social/logo-transparent.png" width="3%" alt="space">
<a href="https://www.tiktok.com/@ultralytics"><img src="https://github.com/ultralytics/assets/raw/main/social/logo-social-tiktok.png" width="3%" alt="Ultralytics TikTok"></a>
<img src="https://github.com/ultralytics/assets/raw/main/social/logo-transparent.png" width="3%" alt="space">
<a href="https://ultralytics.com/bilibili"><img src="https://github.com/ultralytics/assets/raw/main/social/logo-social-bilibili.png" width="3%" alt="Ultralytics Instagram"></a>
<a href="https://ultralytics.com/bilibili"><img src="https://github.com/ultralytics/assets/raw/main/social/logo-social-bilibili.png" width="3%" alt="Ultralytics BiliBili"></a>
<img src="https://github.com/ultralytics/assets/raw/main/social/logo-transparent.png" width="3%" alt="space">
<a href="https://ultralytics.com/discord"><img src="https://github.com/ultralytics/assets/raw/main/social/logo-social-discord.png" width="3%" alt="Ultralytics Discord"></a>
<br>

4
docs/en/hub/app/ios.md
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@ -6,7 +6,7 @@ keywords: Ultralytics, iOS App, YOLO models, real-time object detection, Apple N
# Ultralytics iOS App: Real-time Object Detection with YOLO Models
<a href="https://bit.ly/ultralytics_hub" target="_blank">
<a href="https://ultralytics.com/hub" target="_blank">
<img width="100%" src="https://user-images.githubusercontent.com/26833433/281124469-6b3b0945-dbb1-44c8-80a9-ef6bc778b299.jpg" alt="Ultralytics HUB preview image"></a>
<br>
<div align="center">
@ -20,7 +20,7 @@ keywords: Ultralytics, iOS App, YOLO models, real-time object detection, Apple N
<img src="https://github.com/ultralytics/assets/raw/main/social/logo-transparent.png" width="3%" alt="space">
<a href="https://www.tiktok.com/@ultralytics"><img src="https://github.com/ultralytics/assets/raw/main/social/logo-social-tiktok.png" width="3%" alt="Ultralytics TikTok"></a>
<img src="https://github.com/ultralytics/assets/raw/main/social/logo-transparent.png" width="3%" alt="space">
<a href="https://ultralytics.com/bilibili"><img src="https://github.com/ultralytics/assets/raw/main/social/logo-social-bilibili.png" width="3%" alt="Ultralytics Instagram"></a>
<a href="https://ultralytics.com/bilibili"><img src="https://github.com/ultralytics/assets/raw/main/social/logo-social-bilibili.png" width="3%" alt="Ultralytics BiliBili"></a>
<img src="https://github.com/ultralytics/assets/raw/main/social/logo-transparent.png" width="3%" alt="space">
<a href="https://ultralytics.com/discord"><img src="https://github.com/ultralytics/assets/raw/main/social/logo-social-discord.png" width="3%" alt="Ultralytics Discord"></a>
<br>

4
docs/en/hub/cloud-training.md
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@ -6,9 +6,9 @@ keywords: Ultralytics HUB, cloud training, model training, Pro Plan, easy AI set
# Ultralytics HUB Cloud Training
We've listened to the high demand and widespread interest and are thrilled to unveil [Ultralytics HUB](https://bit.ly/ultralytics_hub) Cloud Training, offering a single-click training experience for our [Pro](./pro.md) users!
We've listened to the high demand and widespread interest and are thrilled to unveil [Ultralytics HUB](https://ultralytics.com/hub) Cloud Training, offering a single-click training experience for our [Pro](./pro.md) users!
[Ultralytics HUB](https://bit.ly/ultralytics_hub) [Pro](./pro.md) users can finetune [Ultralytics HUB](https://bit.ly/ultralytics_hub) models on a custom dataset using our Cloud Training solution, making the model training process easy. Say goodbye to complex setups and hello to streamlined workflows with [Ultralytics HUB](https://bit.ly/ultralytics_hub)'s intuitive interface.
[Ultralytics HUB](https://ultralytics.com/hub) [Pro](./pro.md) users can finetune [Ultralytics HUB](https://ultralytics.com/hub) models on a custom dataset using our Cloud Training solution, making the model training process easy. Say goodbye to complex setups and hello to streamlined workflows with [Ultralytics HUB](https://ultralytics.com/hub)'s intuitive interface.
<p align="center">
<iframe loading="lazy" width="720" height="405" src="https://www.youtube.com/embed/ie3vLUDNYZo"

14
docs/en/hub/datasets.md
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@ -6,7 +6,7 @@ keywords: Ultralytics HUB, datasets, custom datasets, dataset management, model
# Ultralytics HUB Datasets
[Ultralytics HUB](https://bit.ly/ultralytics_hub) datasets are a practical solution for managing and leveraging your custom datasets.
[Ultralytics HUB](https://ultralytics.com/hub) datasets are a practical solution for managing and leveraging your custom datasets.
Once uploaded, datasets can be immediately utilized for model training. This integrated approach facilitates a seamless transition from dataset management to model training, significantly simplifying the entire process.
@ -22,9 +22,9 @@ Once uploaded, datasets can be immediately utilized for model training. This int
## Upload Dataset
[Ultralytics HUB](https://bit.ly/ultralytics_hub) datasets are just like YOLOv5 and YOLOv8 🚀 datasets. They use the same structure and the same label formats to keep everything simple.
[Ultralytics HUB](https://ultralytics.com/hub) datasets are just like YOLOv5 and YOLOv8 🚀 datasets. They use the same structure and the same label formats to keep everything simple.
Before you upload a dataset to [Ultralytics HUB](https://bit.ly/ultralytics_hub), make sure to **place your dataset YAML file inside the dataset root directory** and that **your dataset YAML, directory and ZIP have the same name**, as shown in the example below, and then zip the dataset directory.
Before you upload a dataset to [Ultralytics HUB](https://ultralytics.com/hub), make sure to **place your dataset YAML file inside the dataset root directory** and that **your dataset YAML, directory and ZIP have the same name**, as shown in the example below, and then zip the dataset directory.
For example, if your dataset is called "coco8", as our [COCO8](https://docs.ultralytics.com/datasets/detect/coco8) example dataset, then you should have a `coco8.yaml` inside your `coco8/` directory, which will create a `coco8.zip` when zipped:
@ -46,7 +46,7 @@ The dataset YAML is the same standard YOLOv5 and YOLOv8 YAML format.
--8<-- "ultralytics/cfg/datasets/coco8.yaml"
```
After zipping your dataset, you should [validate it](https://docs.ultralytics.com/reference/hub/__init__/#ultralytics.hub.check_dataset) before uploading it to [Ultralytics HUB](https://bit.ly/ultralytics_hub). [Ultralytics HUB](https://bit.ly/ultralytics_hub) conducts the dataset validation check post-upload, so by ensuring your dataset is correctly formatted and error-free ahead of time, you can forestall any setbacks due to dataset rejection.
After zipping your dataset, you should [validate it](https://docs.ultralytics.com/reference/hub/__init__/#ultralytics.hub.check_dataset) before uploading it to [Ultralytics HUB](https://ultralytics.com/hub). [Ultralytics HUB](https://ultralytics.com/hub) conducts the dataset validation check post-upload, so by ensuring your dataset is correctly formatted and error-free ahead of time, you can forestall any setbacks due to dataset rejection.
```py
from ultralytics.hub import check_dataset
@ -68,7 +68,7 @@ This action will trigger the **Upload Dataset** dialog.
Select the dataset task of your dataset and upload it in the _Dataset .zip file_ field.
You have the additional option to set a custom name and description for your [Ultralytics HUB](https://bit.ly/ultralytics_hub) dataset.
You have the additional option to set a custom name and description for your [Ultralytics HUB](https://ultralytics.com/hub) dataset.
When you're happy with your dataset configuration, click **Upload**.
@ -102,13 +102,13 @@ Next, [train a model](./models.md#train-model) on your dataset.
!!! info "Info"
[Ultralytics HUB](https://bit.ly/ultralytics_hub)'s sharing functionality provides a convenient way to share datasets with others. This feature is designed to accommodate both existing [Ultralytics HUB](https://bit.ly/ultralytics_hub) users and those who have yet to create an account.
[Ultralytics HUB](https://ultralytics.com/hub)'s sharing functionality provides a convenient way to share datasets with others. This feature is designed to accommodate both existing [Ultralytics HUB](https://ultralytics.com/hub) users and those who have yet to create an account.
!!! note "Note"
You have control over the general access of your datasets.
You can choose to set the general access to "Private", in which case, only you will have access to it. Alternatively, you can set the general access to "Unlisted" which grants viewing access to anyone who has the direct link to the dataset, regardless of whether they have an [Ultralytics HUB](https://bit.ly/ultralytics_hub) account or not.
You can choose to set the general access to "Private", in which case, only you will have access to it. Alternatively, you can set the general access to "Unlisted" which grants viewing access to anyone who has the direct link to the dataset, regardless of whether they have an [Ultralytics HUB](https://ultralytics.com/hub) account or not.
Navigate to the Dataset page of the dataset you want to share, open the dataset actions dropdown and click on the **Share** option. This action will trigger the **Share Dataset** dialog.

8
docs/en/hub/index.md
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@ -7,7 +7,7 @@ keywords: Ultralytics HUB, YOLO models, train YOLO, YOLOv5, YOLOv8, object detec
# Ultralytics HUB
<div align="center">
<a href="https://bit.ly/ultralytics_hub" target="_blank"><img width="100%" src="https://github.com/ultralytics/assets/raw/main/im/ultralytics-hub.png"></a>
<a href="https://ultralytics.com/hub" target="_blank"><img width="100%" src="https://github.com/ultralytics/assets/raw/main/im/ultralytics-hub.png"></a>
<a href="https://docs.ultralytics.com/zh/hub/">中文</a> |
<a href="https://docs.ultralytics.com/ko/hub/">한국어</a> |
<a href="https://docs.ultralytics.com/ja/hub/">日本語</a> |
@ -27,7 +27,7 @@ keywords: Ultralytics HUB, YOLO models, train YOLO, YOLOv5, YOLOv8, object detec
</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!
👋 Hello from the [Ultralytics](https://ultralytics.com/) Team! We've been working hard these last few months to launch [Ultralytics HUB](https://ultralytics.com/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 <a href="https://docs.ultralytics.com/">Docs</a> for details, raise an issue on <a href="https://github.com/ultralytics/hub/issues/new/choose">GitHub</a> for support, and join our <a href="https://ultralytics.com/discord">Discord</a> community for questions and discussions!
@ -43,14 +43,14 @@ We hope that the resources here will help you get the most out of HUB. Please br
<img src="https://github.com/ultralytics/assets/raw/main/social/logo-transparent.png" width="3%" alt="space">
<a href="https://www.tiktok.com/@ultralytics"><img src="https://github.com/ultralytics/assets/raw/main/social/logo-social-tiktok.png" width="3%" alt="Ultralytics TikTok"></a>
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</div>
## Introduction
[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.
[Ultralytics HUB](https://ultralytics.com/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.
<p align="center">
<iframe loading="lazy" width="720" height="405" src="https://www.youtube.com/embed/lveF9iCMIzc?si=_Q4WB5kMB5qNe7q6"

8
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@ -6,7 +6,7 @@ keywords: Ultralytics, HUB, Inference API, Python, cURL, REST API, YOLO, image p
# Ultralytics HUB Inference API
The [Ultralytics HUB](https://bit.ly/ultralytics_hub) Inference API allows you to run inference through our REST API without the need to install and set up the Ultralytics YOLO environment locally.
The [Ultralytics HUB](https://ultralytics.com/hub) Inference API allows you to run inference through our REST API without the need to install and set up the Ultralytics YOLO environment locally.
![Ultralytics HUB screenshot of the Deploy tab inside the Model page with an arrow pointing to the Ultralytics Inference API card](https://raw.githubusercontent.com/ultralytics/assets/main/docs/hub/inference-api/hub_inference_api_1.jpg)
@ -22,7 +22,7 @@ The [Ultralytics HUB](https://bit.ly/ultralytics_hub) Inference API allows you t
## Python
To access the [Ultralytics HUB](https://bit.ly/ultralytics_hub) Inference API using Python, use the following code:
To access the [Ultralytics HUB](https://ultralytics.com/hub) Inference API using Python, use the following code:
```python
import requests
@ -50,7 +50,7 @@ print(response.json())
## cURL
To access the [Ultralytics HUB](https://bit.ly/ultralytics_hub) Inference API using cURL, use the following code:
To access the [Ultralytics HUB](https://ultralytics.com/hub) Inference API using cURL, use the following code:
```bash
curl -X POST "https://api.ultralytics.com/v1/predict/MODEL_ID" \
@ -79,7 +79,7 @@ See the table below for a full list of available inference arguments.
## Response
The [Ultralytics HUB](https://bit.ly/ultralytics_hub) Inference API returns a JSON response.
The [Ultralytics HUB](https://ultralytics.com/hub) Inference API returns a JSON response.
### Classification

18
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@ -6,29 +6,29 @@ keywords: Ultralytics HUB, Roboflow integration, dataset import, model training,
# Ultralytics HUB Integrations
Learn about [Ultralytics HUB](https://bit.ly/ultralytics_hub) integrations with various platforms and formats.
Learn about [Ultralytics HUB](https://ultralytics.com/hub) integrations with various platforms and formats.
## Datasets
Seamlessly import your datasets in [Ultralytics HUB](https://bit.ly/ultralytics_hub) for [model training](./models.md#train-model).
Seamlessly import your datasets in [Ultralytics HUB](https://ultralytics.com/hub) for [model training](./models.md#train-model).
After a dataset is imported in [Ultralytics HUB](https://bit.ly/ultralytics_hub), you can [train a model](./models.md#train-model) on your dataset just like you would using the [Ultralytics HUB](https://bit.ly/ultralytics_hub) datasets.
After a dataset is imported in [Ultralytics HUB](https://ultralytics.com/hub), you can [train a model](./models.md#train-model) on your dataset just like you would using the [Ultralytics HUB](https://ultralytics.com/hub) datasets.
### Roboflow
You can easily filter the [Roboflow](https://roboflow.com/?ref=ultralytics) datasets on the [Ultralytics HUB](https://bit.ly/ultralytics_hub) [Datasets](https://hub.ultralytics.com/datasets) page.
You can easily filter the [Roboflow](https://roboflow.com/?ref=ultralytics) datasets on the [Ultralytics HUB](https://ultralytics.com/hub) [Datasets](https://hub.ultralytics.com/datasets) page.
![Ultralytics HUB screenshot of the Datasets page with Roboflow provider filter](https://raw.githubusercontent.com/ultralytics/assets/main/docs/hub/integrations/hub_roboflow_1.jpg)
[Ultralytics HUB](https://bit.ly/ultralytics_hub) supports two types of integrations with [Roboflow](https://roboflow.com/?ref=ultralytics), [Universe](#universe) and [Workspace](#workspace).
[Ultralytics HUB](https://ultralytics.com/hub) supports two types of integrations with [Roboflow](https://roboflow.com/?ref=ultralytics), [Universe](#universe) and [Workspace](#workspace).
#### Universe
The [Roboflow](https://roboflow.com/?ref=ultralytics) Universe integration allows you to import one dataset at a time into [Ultralytics HUB](https://bit.ly/ultralytics_hub) from [Roboflow](https://roboflow.com/?ref=ultralytics).
The [Roboflow](https://roboflow.com/?ref=ultralytics) Universe integration allows you to import one dataset at a time into [Ultralytics HUB](https://ultralytics.com/hub) from [Roboflow](https://roboflow.com/?ref=ultralytics).
##### Import
When you export a [Roboflow](https://roboflow.com/?ref=ultralytics) dataset, select the [Ultralytics HUB](https://bit.ly/ultralytics_hub) format. This action will redirect you to [Ultralytics HUB](https://bit.ly/ultralytics_hub) and trigger the **Dataset Import** dialog.
When you export a [Roboflow](https://roboflow.com/?ref=ultralytics) dataset, select the [Ultralytics HUB](https://ultralytics.com/hub) format. This action will redirect you to [Ultralytics HUB](https://ultralytics.com/hub) and trigger the **Dataset Import** dialog.
You can import your [Roboflow](https://roboflow.com/?ref=ultralytics) dataset by clicking on the **Import** button.
@ -52,7 +52,7 @@ Navigate to the Dataset page of the [Roboflow](https://roboflow.com/?ref=ultraly
#### Workspace
The [Roboflow](https://roboflow.com/?ref=ultralytics) Workspace integration allows you to import an entire [Roboflow](https://roboflow.com/?ref=ultralytics) Workspace at once into [Ultralytics HUB](https://bit.ly/ultralytics_hub).
The [Roboflow](https://roboflow.com/?ref=ultralytics) Workspace integration allows you to import an entire [Roboflow](https://roboflow.com/?ref=ultralytics) Workspace at once into [Ultralytics HUB](https://ultralytics.com/hub).
##### Import
@ -66,7 +66,7 @@ Type your [Roboflow](https://roboflow.com/?ref=ultralytics) Workspace private AP
![Ultralytics HUB screenshot of the Integrations page with an arrow pointing to the Integrations button in the sidebar and one to the Add button](https://raw.githubusercontent.com/ultralytics/assets/main/docs/hub/integrations/hub_roboflow_workspace_import_1.jpg)
This will connect your [Ultralytics HUB](https://bit.ly/ultralytics_hub) account with your [Roboflow](https://roboflow.com/?ref=ultralytics) Workspace and make your [Roboflow](https://roboflow.com/?ref=ultralytics) datasets available in [Ultralytics HUB](https://bit.ly/ultralytics_hub).
This will connect your [Ultralytics HUB](https://ultralytics.com/hub) account with your [Roboflow](https://roboflow.com/?ref=ultralytics) Workspace and make your [Roboflow](https://roboflow.com/?ref=ultralytics) datasets available in [Ultralytics HUB](https://ultralytics.com/hub).
![Ultralytics HUB screenshot of the Integrations page with an arrow pointing to one of the connected workspaces](https://raw.githubusercontent.com/ultralytics/assets/main/docs/hub/integrations/hub_roboflow_workspace_import_2.jpg)

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@ -6,9 +6,9 @@ keywords: Ultralytics HUB, YOLOv8, custom AI models, model training, model deplo
# Ultralytics HUB Models
[Ultralytics HUB](https://bit.ly/ultralytics_hub) models provide a streamlined solution for training vision AI models on custom datasets.
[Ultralytics HUB](https://ultralytics.com/hub) models provide a streamlined solution for training vision AI models on custom datasets.
The process is user-friendly and efficient, involving a simple three-step creation and accelerated training powered by Ultralytics YOLOv8. During training, real-time updates on model metrics are available so that you can monitor each step of the progress. Once training is completed, you can preview your model and easily deploy it to real-world applications. Therefore, [Ultralytics HUB](https://bit.ly/ultralytics_hub) offers a comprehensive yet straightforward system for model creation, training, evaluation, and deployment.
The process is user-friendly and efficient, involving a simple three-step creation and accelerated training powered by Ultralytics YOLOv8. During training, real-time updates on model metrics are available so that you can monitor each step of the progress. Once training is completed, you can preview your model and easily deploy it to real-world applications. Therefore, [Ultralytics HUB](https://ultralytics.com/hub) offers a comprehensive yet straightforward system for model creation, training, evaluation, and deployment.
<p align="center">
<iframe loading="lazy" width="720" height="405" src="https://www.youtube.com/embed/YVlkq5H2tAQ"
@ -56,9 +56,9 @@ In this step, you have to choose the project in which you want to create your mo
Ultralytics HUB will try to pre-select the project.
If you opened the **Train Model** dialog as described above, [Ultralytics HUB](https://bit.ly/ultralytics_hub) will pre-select the last project you used.
If you opened the **Train Model** dialog as described above, [Ultralytics HUB](https://ultralytics.com/hub) will pre-select the last project you used.
If you opened the **Train Model** dialog from the Project page, [Ultralytics HUB](https://bit.ly/ultralytics_hub) will pre-select the project you were inside of.
If you opened the **Train Model** dialog from the Project page, [Ultralytics HUB](https://ultralytics.com/hub) will pre-select the project you were inside of.
![Ultralytics HUB screenshot of the Project page with an arrow pointing to the Train Model button](https://raw.githubusercontent.com/ultralytics/assets/main/docs/hub/projects/hub_create_project_5.jpg)
@ -74,7 +74,7 @@ By default, your model will use a pre-trained model (trained on the [COCO](https
!!! note "Note"
You can easily change the most common model configuration options (such as the number of epochs) but you can also use the **Custom** option to access all [Train Settings](https://docs.ultralytics.com/modes/train/#train-settings) relevant to [Ultralytics HUB](https://bit.ly/ultralytics_hub).
You can easily change the most common model configuration options (such as the number of epochs) but you can also use the **Custom** option to access all [Train Settings](https://docs.ultralytics.com/modes/train/#train-settings) relevant to [Ultralytics HUB](https://ultralytics.com/hub).
<p align="center">
<br>
@ -103,7 +103,7 @@ In this step, you will start training you model.
![Ultralytics HUB screenshot of the Model page with an arrow pointing to the Start Training card](https://raw.githubusercontent.com/ultralytics/assets/main/docs/hub/cloud-training/hub_cloud_training_train_model_2.jpg)
[Ultralytics HUB](https://bit.ly/ultralytics_hub) offers three training options:
[Ultralytics HUB](https://ultralytics.com/hub) offers three training options:
- [Ultralytics Cloud](./cloud-training.md)
- Google Colab
@ -119,7 +119,7 @@ To train models using our [Cloud Training](./cloud-training.md) solution, read t
#### b. Google Colab
To start training your model using [Google Colab](https://colab.research.google.com/github/ultralytics/hub/blob/master/hub.ipynb), follow the instructions shown in the [Ultralytics HUB](https://bit.ly/ultralytics_hub) **Train Model** dialog or on the [Google Colab](https://colab.research.google.com/github/ultralytics/hub/blob/master/hub.ipynb) notebook.
To start training your model using [Google Colab](https://colab.research.google.com/github/ultralytics/hub/blob/master/hub.ipynb), follow the instructions shown in the [Ultralytics HUB](https://ultralytics.com/hub) **Train Model** dialog or on the [Google Colab](https://colab.research.google.com/github/ultralytics/hub/blob/master/hub.ipynb) notebook.
<a href="https://colab.research.google.com/github/ultralytics/hub/blob/master/hub.ipynb" target="_blank">
<img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open In Colab">
@ -151,7 +151,7 @@ When the training starts, you can click **Done** and monitor the training progre
<strong>Watch:</strong> Bring your Own Agent model training using Ultralytics HUB
</p>
To start training your model using your own agent, follow the instructions shown in the [Ultralytics HUB](https://bit.ly/ultralytics_hub) **Train Model** dialog.
To start training your model using your own agent, follow the instructions shown in the [Ultralytics HUB](https://ultralytics.com/hub) **Train Model** dialog.
![Ultralytics HUB screenshot of the Train Model dialog with arrows pointing to instructions](https://raw.githubusercontent.com/ultralytics/assets/main/docs/hub/models/hub_train_model_12.jpg)
@ -243,13 +243,13 @@ Read the [Ultralytics Inference API](./inference-api.md) documentation for more
!!! info "Info"
[Ultralytics HUB](https://bit.ly/ultralytics_hub)'s sharing functionality provides a convenient way to share models with others. This feature is designed to accommodate both existing [Ultralytics HUB](https://bit.ly/ultralytics_hub) users and those who have yet to create an account.
[Ultralytics HUB](https://ultralytics.com/hub)'s sharing functionality provides a convenient way to share models with others. This feature is designed to accommodate both existing [Ultralytics HUB](https://ultralytics.com/hub) users and those who have yet to create an account.
??? note "Note"
You have control over the general access of your models.
You can choose to set the general access to "Private", in which case, only you will have access to it. Alternatively, you can set the general access to "Unlisted" which grants viewing access to anyone who has the direct link to the model, regardless of whether they have an [Ultralytics HUB](https://bit.ly/ultralytics_hub) account or not.
You can choose to set the general access to "Private", in which case, only you will have access to it. Alternatively, you can set the general access to "Unlisted" which grants viewing access to anyone who has the direct link to the model, regardless of whether they have an [Ultralytics HUB](https://ultralytics.com/hub) account or not.
Navigate to the Model page of the model you want to share, open the model actions dropdown and click on the **Share** option. This action will trigger the **Share Model** dialog.

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@ -6,7 +6,7 @@ keywords: Ultralytics HUB, Pro Plan, upgrade guide, cloud training, storage, inf
# Ultralytics HUB Pro
[Ultralytics HUB](https://bit.ly/ultralytics_hub) offers the Pro Plan as a monthly or annual subscription.
[Ultralytics HUB](https://ultralytics.com/hub) offers the Pro Plan as a monthly or annual subscription.
The Pro Plan provides early access to upcoming features and includes enhanced benefits:

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@ -6,7 +6,7 @@ keywords: Ultralytics HUB, model management, create project, share project, edit
# Ultralytics HUB Projects
[Ultralytics HUB](https://bit.ly/ultralytics_hub) projects provide an effective solution for consolidating and managing your models. If you are working with several models that perform similar tasks or have related purposes, [Ultralytics HUB](https://bit.ly/ultralytics_hub) projects allow you to group these models together.
[Ultralytics HUB](https://ultralytics.com/hub) projects provide an effective solution for consolidating and managing your models. If you are working with several models that perform similar tasks or have related purposes, [Ultralytics HUB](https://ultralytics.com/hub) projects allow you to group these models together.
This creates a unified and organized workspace that facilitates easier model management, comparison and development. Having similar models or various iterations together can facilitate rapid benchmarking, as you can compare their effectiveness. This can lead to faster, more insightful iterative development and refinement of your models.
@ -54,13 +54,13 @@ Next, [train a model](./models.md#train-model) inside your project.
!!! info "Info"
[Ultralytics HUB](https://bit.ly/ultralytics_hub)'s sharing functionality provides a convenient way to share projects with others. This feature is designed to accommodate both existing [Ultralytics HUB](https://bit.ly/ultralytics_hub) users and those who have yet to create an account.
[Ultralytics HUB](https://ultralytics.com/hub)'s sharing functionality provides a convenient way to share projects with others. This feature is designed to accommodate both existing [Ultralytics HUB](https://ultralytics.com/hub) users and those who have yet to create an account.
??? note "Note"
You have control over the general access of your projects.
You can choose to set the general access to "Private", in which case, only you will have access to it. Alternatively, you can set the general access to "Unlisted" which grants viewing access to anyone who has the direct link to the project, regardless of whether they have an [Ultralytics HUB](https://bit.ly/ultralytics_hub) account or not.
You can choose to set the general access to "Private", in which case, only you will have access to it. Alternatively, you can set the general access to "Unlisted" which grants viewing access to anyone who has the direct link to the project, regardless of whether they have an [Ultralytics HUB](https://ultralytics.com/hub) account or not.
Navigate to the Project page of the project you want to share, open the project actions dropdown and click on the **Share** option. This action will trigger the **Share Project** dialog.

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@ -6,7 +6,7 @@ keywords: Ultralytics HUB, Quickstart, YOLO models, dataset upload, project mana
# Ultralytics HUB Quickstart
[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.
[Ultralytics HUB](https://ultralytics.com/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.
<p align="center">
<iframe loading="lazy" width="720" height="405" src="https://www.youtube.com/embed/lveF9iCMIzc?si=_Q4WB5kMB5qNe7q6"
@ -20,7 +20,7 @@ keywords: Ultralytics HUB, Quickstart, YOLO models, dataset upload, project mana
## Get Started
[Ultralytics HUB](https://bit.ly/ultralytics_hub) offers a variety easy of signup options. You can register and log in using your Google, Apple, or GitHub accounts, or simply with your email address.
[Ultralytics HUB](https://ultralytics.com/hub) offers a variety easy of signup options. You can register and log in using your Google, Apple, or GitHub accounts, or simply with your email address.
![Ultralytics HUB screenshot of the Signup page](https://raw.githubusercontent.com/ultralytics/assets/main/docs/hub/quickstart/hub_get_started_1.jpg)
@ -36,7 +36,7 @@ During the signup, you will be asked to complete your profile.
## Home
After signing in, you will be directed to the [Home](https://hub.ultralytics.com/home) page of [Ultralytics HUB](https://bit.ly/ultralytics_hub), which provides a comprehensive overview, quick links, and updates.
After signing in, you will be directed to the [Home](https://hub.ultralytics.com/home) page of [Ultralytics HUB](https://ultralytics.com/hub), which provides a comprehensive overview, quick links, and updates.
The sidebar conveniently offers links to important modules of the platform, such as [Datasets](https://hub.ultralytics.com/datasets), [Projects](https://hub.ultralytics.com/projects), and [Models](https://hub.ultralytics.com/models).

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@ -6,7 +6,7 @@ keywords: Ultralytics HUB, Teams, collaboration, team management, AI projects, r
# Ultralytics HUB Teams
We're excited to introduce you to the new Teams feature within [Ultralytics HUB](https://bit.ly/ultralytics_hub) for our [Pro](./pro.md) users!
We're excited to introduce you to the new Teams feature within [Ultralytics HUB](https://ultralytics.com/hub) for our [Pro](./pro.md) users!
Here, you'll learn how to manage team members, share resources seamlessly, and collaborate efficiently on various projects.

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@ -47,7 +47,7 @@ Explore the YOLOv8 Docs, a comprehensive resource designed to help you understan
<img src="https://github.com/ultralytics/assets/raw/main/social/logo-transparent.png" width="3%" alt="space">
<a href="https://www.tiktok.com/@ultralytics"><img src="https://github.com/ultralytics/assets/raw/main/social/logo-social-tiktok.png" width="3%" alt="Ultralytics TikTok"></a>
<img src="https://github.com/ultralytics/assets/raw/main/social/logo-transparent.png" width="3%" alt="space">
<a href="https://ultralytics.com/bilibili"><img src="https://github.com/ultralytics/assets/raw/main/social/logo-social-bilibili.png" width="3%" alt="Ultralytics Instagram"></a>
<a href="https://ultralytics.com/bilibili"><img src="https://github.com/ultralytics/assets/raw/main/social/logo-social-bilibili.png" width="3%" alt="Ultralytics BiliBili"></a>
<img src="https://github.com/ultralytics/assets/raw/main/social/logo-transparent.png" width="3%" alt="space">
<a href="https://ultralytics.com/discord"><img src="https://github.com/ultralytics/assets/raw/main/social/logo-social-discord.png" width="3%" alt="Ultralytics Discord"></a>
</div>

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@ -79,7 +79,7 @@ This badge indicates that all [YOLOv5 GitHub Actions](https://github.com/ultraly
<img src="https://github.com/ultralytics/assets/raw/main/social/logo-transparent.png" width="3%" alt="space">
<a href="https://www.tiktok.com/@ultralytics"><img src="https://github.com/ultralytics/assets/raw/main/social/logo-social-tiktok.png" width="3%" alt="Ultralytics TikTok"></a>
<img src="https://github.com/ultralytics/assets/raw/main/social/logo-transparent.png" width="3%" alt="space">
<a href="https://ultralytics.com/bilibili"><img src="https://github.com/ultralytics/assets/raw/main/social/logo-social-bilibili.png" width="3%" alt="Ultralytics Instagram"></a>
<a href="https://ultralytics.com/bilibili"><img src="https://github.com/ultralytics/assets/raw/main/social/logo-social-bilibili.png" width="3%" alt="Ultralytics BiliBili"></a>
<img src="https://github.com/ultralytics/assets/raw/main/social/logo-transparent.png" width="3%" alt="space">
<a href="https://ultralytics.com/discord"><img src="https://github.com/ultralytics/assets/raw/main/social/logo-social-discord.png" width="3%" alt="Ultralytics Discord"></a>
</div>

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@ -18,7 +18,7 @@ pip install -r requirements.txt # install
## Train On Custom Data
<a href="https://bit.ly/ultralytics_hub" target="_blank">
<a href="https://ultralytics.com/hub" target="_blank">
<img width="100%" src="https://github.com/ultralytics/assets/raw/main/im/integrations-loop.png" alt="Ultralytics active learning"></a>
<br>
<br>

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@ -22,7 +22,7 @@
"id": "FIzICjaph_Wy"
},
"source": [
"<a align=\"center\" href=\"https://bit.ly/ultralytics_hub\" target=\"_blank\">\n",
"<a align=\"center\" href=\"https://ultralytics.com/hub\" target=\"_blank\">\n",
"<img width=\"1024\", src=\"https://github.com/ultralytics/assets/raw/main/im/ultralytics-hub.png\"></a>\n",
"\n",
"<div align=\"center\">\n",

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@ -215,7 +215,7 @@
"source": [
"# 3. Train\n",
"\n",
"<p align=\"\"><a href=\"https://bit.ly/ultralytics_hub\"><img width=\"1000\" src=\"https://github.com/ultralytics/assets/raw/main/yolov8/banner-integrations.png\"/></a></p>\n",
"<p align=\"\"><a href=\"https://ultralytics.com/hub\"><img width=\"1000\" src=\"https://github.com/ultralytics/assets/raw/main/yolov8/banner-integrations.png\"/></a></p>\n",
"\n",
"Train YOLOv8 on [Detect](https://docs.ultralytics.com/tasks/detect/), [Segment](https://docs.ultralytics.com/tasks/segment/), [Classify](https://docs.ultralytics.com/tasks/classify/) and [Pose](https://docs.ultralytics.com/tasks/pose/) datasets. See [YOLOv8 Train Docs](https://docs.ultralytics.com/modes/train/) for more information."
]