description: Explore Ultralytics HUB for easy training, analysis, preview, deployment and sharing of custom vision AI models using YOLOv8. Start training today!.
keywords: Ultralytics HUB, YOLOv8, custom AI models, model training, model deployment, model analysis, vision AI
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.
Navigate to the [Models](https://hub.ultralytics.com/models) page by clicking on the **Models** button in the sidebar and click on the **Train Model** button on the top right of the page.
In this step, you have to choose the project in which you want to create your model, the name of your model and your model's architecture.
??? note "Note"
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 from the Project page, [Ultralytics HUB](https://bit.ly/ultralytics_hub) will pre-select the project you were inside of.
In case you don't have a project created yet, you can set the name of your project in this step and it will be created together with your model.
!!! Info "Info"
You can read more about the available [YOLOv8](https://docs.ultralytics.com/models/yolov8) (and [YOLOv5](https://docs.ultralytics.com/models/yolov5)) architectures in our documentation.
By default, your model will use a pre-trained model (trained on the [COCO](https://docs.ultralytics.com/datasets/detect/coco) dataset) to reduce training time. You can change this behavior and tweak your model's configuration by opening the **Advanced Model Configuration** accordion.
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).
When you're happy with your model configuration, click **Continue**.
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.
When the training starts, you can click **Done** and monitor the training progress on the Model page.
!!! note "Note"
In case the training stops and a checkpoint was saved, you can resume training your model from the Model page.
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.
Install the `ultralytics` package from [PyPI](https://pypi.org/project/ultralytics).
```bash
pip install -U ultralytics
```
Next, use the Python code provided to start training the model.
When the training starts, you can click **Done** and monitor the training progress on the Model page.
!!! note "Note"
In case the training stops and a checkpoint was saved, you can resume training your model from the Model page.
## Analyze Model
After you [train a model](#train-model), you can analyze the model metrics.
The **Train** tab presents the most important metrics carefully grouped based on the task.
To access all model metrics, click on the **Charts** tab.
Each chart can be enlarged for better visualization.
Furthermore, to properly analyze the data, you can utilize the zoom feature.
## Preview Model
After you [train a model](#train-model), you can preview it by clicking on the **Preview** tab.
In the **Test** card, you can select a preview image from the dataset used during training or upload an image from your device.
!!! note "Note"
You can also use your camera to take a picture and run inference on it directly.
Furthermore, you can preview your model in real-time directly on your [iOS](https://apps.apple.com/xk/app/ultralytics/id1583935240) or [Android](https://play.google.com/store/apps/details?id=com.ultralytics.ultralytics_app) mobile device by [downloading](https://ultralytics.com/app_install) our [Ultralytics HUB App](app/index.md).
After you [train a model](#train-model), you can export it to 13 different formats, including ONNX, OpenVINO, CoreML, TensorFlow, Paddle and many others.
??? tip "Tip"
You can customize the export options of each format if you open the export actions dropdown and click on the **Advanced** option.
!!! note "Note"
You can re-export each format if you open the export actions dropdown and click on the **Advanced** option.
You can also use our [Inference API](./inference-api.md) in production.
Read the [Ultralytics Inference API](./inference-api.md) documentation for more information.
[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.
??? 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.
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.
You can also share a model directly from the [Models](https://hub.ultralytics.com/models) page or from the Project page of the project where your model is located.
Navigate to the Model page of the model you want to edit, open the model actions dropdown and click on the **Edit** option. This action will trigger the **Update Model** dialog.
??? tip "Tip"
You can also edit a model directly from the [Models](https://hub.ultralytics.com/models) page or from the Project page of the project where your model is located.
Apply the desired modifications to your model and then confirm the changes by clicking **Save**.
Navigate to the Model page of the model you want to delete, open the model actions dropdown and click on the **Delete** option. This action will delete the model.
??? tip "Tip"
You can also delete a model directly from the [Models](https://hub.ultralytics.com/models) page or from the Project page of the project where your model is located.
