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Docs updates and improvements (#8183)

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Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>
Co-authored-by: Priytosh Tripathi <priytosh.revolution@live.com>
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docs/en/hub/quickstart.md
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@ -21,37 +21,38 @@ HUB is designed to be user-friendly and intuitive, with a drag-and-drop interfac
## Creating an Account
[Ultralytics HUB](https://hub.ultralytics.com/) offers multiple and easy account creation options to get started with. A user can user can register and sign-in using `Google`, `Apple` or `Github` account or a `work email` address(preferably for corporate users).
[Ultralytics HUB](https://hub.ultralytics.com/) offers multiple easy account creation options. Users can register and sign in using Google, Apple, GitHub accounts, or a work email address.
![Creating an Account](https://github.com/ultralytics/ultralytics/assets/19519529/1dcf454a-68ab-4821-9779-ee33a6e300cf)
## The Dashboard and details
## The Dashboard
After completing the registration and login process on the HUB, users are directed to the HUB dashboard. This dashboard provides a comprehensive overview, with the Welcome tutorial prominently displayed. Additionally, the left pane conveniently offers links for tasks such as Uploading Datasets, Creating Projects, Training Models, Integrating Third-party Applications, Accessing Support, and Managing Trash.
Upon logging in, users are directed to the HUB dashboard, providing a comprehensive overview. The left pane conveniently offers links for tasks such as Uploading Datasets, Creating Projects, Training Models, Integrating Third-party Applications, Accessing Support, and Managing Trash.
![HUB Dashboard](https://github.com/ultralytics/ultralytics/assets/19519529/108de60e-1b21-4f07-8d46-ed51d8439f67)
## Select the Model
## Selecting the Model
Once we have decided on a Dataset, it's time to train the model. We first pick the Project name and Model name (or leave it to default, if they are not label specific), then pick an Architecture. Ultralytics provide a wide range of YOLOv8, YOLOv5 and YOLOv5u6 Architectures. You can also pick from previously trained or custom model.
The latter option allows us to fine tune option likes Pre-trained, Epochs, Image Size, Caching Strategy, Type of Device, Number of GPUs, Batch Size, AMP status and Freeze option. Read more about Models [HUB Models page](models.md).
Choose a Dataset and train the model by selecting the Project name, Model name, and Architecture. Ultralytics offers a range of YOLOv8, YOLOv5, and YOLOv5u6 Architectures, including pre-trained and custom options.
## Train the Model
Read more about Models on the [HUB Models page](models.md).
Once we reach the Model Training page, we are offered three-way option to train our model. We can either use Google Colab to simply follow the steps and use the API key provided at the page, or follow the steps to actually train the model locally. The third way is our upcoming Ultralytics Cloud , which enables you to directly train your model over cloud even more efficiently. Read more about Training the model at [Cloud Training Page](cloudtraining.md)
## Training the Model
There are three ways to train your model: using Google Colab, training locally, or through Ultralytics Cloud. Learn more about training options on the [Cloud Training Page](cloud-training.md).
## Integrating the Model
`Ultralytics Hub` supports integrating the model with other third-party applications or to connect HUB from an external agent. Currently we support `Roboflow`, with very simple one click API Integration. Read more about Integrating the model at [Integration Page](integrations.md)
Integrate your trained model with third-party applications or connect HUB from an external agent. Ultralytics HUB currently supports simple one-click API Integration with Roboflow. Read more about integration on the [Integration Page](integrations.md).
## Stuck? We got you!
## Need Help?
We at Ultralytics we have a strong faith in user feedbacks and complaints. You can `Report a bug`, `Request a Feature` and/or `Ask question`.
If you encounter any issues or have questions, we're here to assist you. You can report a bug, request a feature, or ask a question.
![Support Page](https://github.com/ultralytics/ultralytics/assets/19519529/c29bf5c5-72d8-4be4-9f3f-b504968d0bef)
## Data restoration and deletion
## Data Management
Your Dataset in your account can be restored and/or deleted permanently from the `Trash` section in the left column.
Manage your datasets efficiently with options to restore or permanently delete them from the Trash section in the left column.
![Trash Page](https://github.com/ultralytics/ultralytics/assets/19519529/c3d46107-aa58-4b05-a7a8-44db1ad61bb2)