Explore

Ultralytics Platform Explore page showcases public content from the community. Discover datasets and projects for inspiration and learning. The Explore page is accessible to everyone — even without signing in.

<!-- screenshot -->

graph LR
    A[🔍 Browse Explore]:::start --> B[📥 Clone to Account]:::proc
    B --> C[✏️ Customize & Annotate]:::proc
    C --> D[🚀 Train Model]:::proc
    D --> E[🌐 Deploy Endpoint]:::out

    classDef start fill:#4CAF50,color:#fff
    classDef proc fill:#2196F3,color:#fff
    classDef out fill:#9C27B0,color:#fff

!!! info "Anonymous Access"

The Explore page works without signing in. Anonymous users see official Ultralytics content in the sidebar under "Ultralytics" instead of "My Projects". To clone content or create your own, you'll need to sign up.

Overview

The Explore page features two tabs:

• Public Datasets: Community training data with image previews
• Public Projects: Complete experiments containing trained models

Official Ultralytics content (e.g., @ultralytics projects and datasets) is pinned to the top of results.

Browse Content

Tabs

The Explore page uses a tabbed interface with Datasets and Projects tabs. Each tab has its own search, sort, and view mode controls.

Search and Sort

Each tab provides a search bar and sort options:

<!-- screenshot -->

View Modes

Toggle between three view modes for browsing:

Cards and compact views support infinite scroll for loading more results.

Content Cards

Each item displays:

<!-- screenshot --> === "Project Cards"

| Element              | Description                                                   |
| -------------------- | ------------------------------------------------------------- |
| **Icon**             | Project icon with custom colors                               |
| **Name**             | Project title                                                 |
| **Creator**          | Author avatar and username                                    |
| **Description**      | Short project description                                     |
| **Model Count**      | Number of models in the project                               |
| **Model Tags**       | Names of models in the project                                |
| **Star Count**       | Number of community stars                                     |

=== "Dataset Cards"

| Element              | Description                                                   |
| -------------------- | ------------------------------------------------------------- |
| **Thumbnails**       | Preview images from the dataset                               |
| **Name**             | Dataset title                                                 |
| **Creator**          | Author avatar and username                                    |
| **Task Badge**       | YOLO task type (detect, segment, etc.)                        |
| **Image Count**      | Number of images in the dataset                               |
| **Star Count**       | Number of community stars                                     |

Use Public Content

graph TD
    A[Find Content on Explore]:::start --> B{Content Type}:::decide
    B --> C[Dataset]:::proc
    B --> D[Project]:::proc
    B --> E[Model]:::proc
    C --> F[Clone Dataset]:::proc
    D --> G[Clone Project]:::proc
    E --> H[Download Model]:::proc
    E --> I[Clone Model]:::proc
    F --> J[Copy in Destination Workspace]:::out
    G --> K[Project Copy with Completed Models]:::out
    H --> L[.pt / Completed Exports]:::out
    I --> M[Copy to Your Project]:::proc
    J --> N[Edit, Annotate, Train]:::out
    K --> N
    M --> N

    classDef start fill:#4CAF50,color:#fff
    classDef proc fill:#2196F3,color:#fff
    classDef decide fill:#FF9800,color:#fff
    classDef out fill:#9C27B0,color:#fff

Clone Dataset

Use a public dataset for your training:

1. Click on the dataset to open its detail page
2. Click Clone Dataset
3. Review the destination workspace, name, visibility, and license
4. Click Clone Dataset to confirm

<!-- screenshot --> !!! note "Cloned Dataset Properties"

- The clone dialog lets you review the destination, name, visibility, and license
- Public datasets stay public by default in workspaces whose default visibility is public; Enterprise workspace clones default to private
- You can modify classes, annotations, and splits
- Changes don't affect the original dataset
- Image bytes reuse content-addressable storage (CAS), but the clone still counts toward the destination workspace's storage quota

See Datasets for managing and annotating your cloned dataset.

Download Model

Download a public model:

1. Click on the model within a project
2. Click the download icon to download its PyTorch .pt weights
3. Open the Export tab to download any completed exports that are available

You can also use the model for inference or as a starting point for fine-tuning:

# Use a downloaded model for inference
yolo predict model=path/to/downloaded-model.pt source=image.jpg

# Fine-tune on your own dataset
yolo train model=path/to/downloaded-model.pt data=my-dataset.yaml epochs=50

Clone Model

Clone a public model to one of your projects:

1. Click on the model within a project
2. Click Clone Model
3. Select a target project or create a new one
4. Optionally, rename the model
5. Click Clone Model to confirm

<!-- screenshot --> !!! note "Clone vs Download"

**Clone** copies the model to a project on the Platform for further training or deployment. **Download** saves the model file to your local machine.

Clone Project

Copy a public project to your workspace:

1. Click on the project to open its detail page
2. Click Clone Project
3. Review the destination, name, visibility, and license, then click Clone Project

<!-- screenshot --> The cloned project includes completed models that have model files. Deployments and exports are not copied. Its default visibility follows the same workspace rules as dataset cloning.

See Projects for organizing models in your project.

Official Ultralytics Content

Official @ultralytics content is pinned to the top of Explore results. It includes projects for YOLO26, YOLO11, and earlier model generations. Open a project to see its current models and supported tasks.

Official datasets include benchmark datasets like coco8 (8-image COCO subset), VOC, african-wildlife, dota8, and other commonly used computer vision datasets.

!!! tip "Quick Start with Official Models"

The fastest way to get started is to clone an official Ultralytics project and use a pretrained model to train on your own dataset:

1. Go to `Explore` > `Projects` tab
2. Find the **YOLO26** project from `@ultralytics`
3. Clone it to your account
4. Upload your dataset in [supported formats](data/datasets.md#preparing-your-dataset) and start training with a pretrained checkpoint

User Profiles

Click on a creator's username to view their public profile at platform.ultralytics.com/{username}. Public profiles show:

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Follow Users

Click the Follow button on any user's profile to follow or unfollow them. Follower counts are displayed on public profiles.

Make Your Content Public

Make your work available to the community. Public content appears on the Explore page and is visible to everyone, including users who aren't signed in.

graph LR
    A[Your Private Content]:::start --> B[Click Private Badge]:::proc
    B --> C[Confirm Make Public]:::proc
    C --> D[Appears on Explore Page]:::proc
    D --> E[Community Can Clone/Download]:::out

    classDef start fill:#4CAF50,color:#fff
    classDef proc fill:#2196F3,color:#fff
    classDef out fill:#9C27B0,color:#fff

Make Dataset Public

1. Go to your dataset
2. Click the Private visibility badge in the top navigation bar
3. Review the warning and click Make Public

Make Project Public

1. Go to your project
2. Click the Private visibility badge in the top navigation bar
3. Review the warning and click Make Public

!!! tip "Quality Content"

Before making content public:

- Add a clear, descriptive name and description
- Define class names in the dataset settings
- Verify data quality and annotation accuracy
- Test model performance and include training metrics

!!! warning "Public Content Visibility"

Public content is visible to **everyone on the internet**, including anonymous users. Make sure your dataset doesn't contain sensitive, private, or copyrighted data before making it public. You can change visibility back to private at any time.

Guidelines

When contributing public content:

Do

• Provide useful, high-quality content
• Write clear descriptions
• Include relevant metadata
• Respond to questions
• Credit data sources

Don't

• Upload sensitive/private data
• Violate copyrights
• Upload inappropriate content
• Spam low-quality content
• Misrepresent performance

Share Content

Click the Share button on any public project, model, or dataset to share it. The share dialog provides pre-filled text for social platforms and a direct copy link.

Embed Widgets

Public content can be embedded in external websites using embed URLs:

Use these URLs in an <iframe> to embed public preview cards for projects, models, or datasets. Each card links to the full resource on Platform.

Public Content URLs

Public content on the platform uses clean, shareable URLs:

!!! tip "Shareable Links"

You can share any public content URL directly. Recipients can view the content without signing in. To clone or download, they'll need an account.

FAQ

Can I use public content commercially?

Check the license shown on the individual project, model, or dataset. Usage rights depend on that resource's license; contact the creator when the license does not grant the rights you need.

How do I report inappropriate content?

To report inappropriate content:

1. Navigate to the public page containing the content (project or dataset), if accessible
2. Open the Help page from the sidebar
3. Select General as the feedback type
4. Describe the content and the issue, including a link to the page
5. Submit the report

If the content is no longer accessible, use the Help page from any page and include as much detail as possible (URL, username, or description).

Can I make public content private again?

Yes, you can change visibility anytime:

1. Open the project or dataset
2. Click the Public visibility badge in the top navigation bar
3. The resource changes to private immediately

Existing clones are not affected.