# Cropilot Community

Open community for sharing models used in **[Cropilot](https://github.com/moravianlibrary/cropilot)** — an AI-powered tool for automatically cropping scanned documents.

This organization is a shared home for fine-tuned computer-vision models that detect page boundaries, predict rotation, and generate crop instructions for digitized books, newspapers, periodicals, and other printed media. If you have trained a model, you are welcome to publish it here.

## What lives here

- **Crop / page-detection models** — YOLO-based detectors that find page positions (e.g. outer, inner crop).
- **Rotation models** — ResNet-based models (RotateNET) that predict page rotation angle.

Every model is published as a standalone, reusable artifact with its own model card.

## Using a model

Download a weight file directly:

```python
from huggingface_hub import hf_hub_download

path = hf_hub_download(
    repo_id="cropilot-community/<model-name>",
    filename="<model-name>.pt",
)
print(path)
```

Then point your Cropilot configuration at the downloaded file. See each model's card for its recommended crop/rotation settings and intended use.

## Contributing a model

Read **[CONTRIBUTING.md](./CONTRIBUTING.md)** and copy the **[model card template](./MODEL_CARD_TEMPLATE.md)** — fill in the blanks, upload your weights, done.

## Ecosystem

- **Cropilot** (app + backend): https://github.com/moravianlibrary/cropilot
- **Cropilot utils** (models, training, API tools): https://github.com/moravianlibrary/cropilot-utils

## License

Unless a model card states otherwise, models in this organization are released under the **GNU Affero General Public License v3.0 (AGPL-3.0)**, matching the Cropilot project.