default_crop_v1

Default Crop v1

default_crop_v1.pt is a Cropilot model for detecting page crop regions in scanned printed documents. It is the general-purpose default crop model, trained on a mixed corpus of books, magazines, and newspapers.

It is published here as a reusable model artifact for use in the Cropilot document-cropping ecosystem.

License

Released under the GNU Affero General Public License v3.0 (AGPL-3.0).

Model File

• File: default_crop_v1.pt
• Base model: YOLO11s
• Task: object-detection (page crop region)

Intended Use

This model is intended for semi-automated processing in a Cropilot workflow:

1. Compressed JPEGs are created from original scans (e.g. TIFF).
2. Cropilot runs AI detection using this model.
3. A human operator reviews and corrects the result in the Cropilot editor.
4. Final crops are applied to the original scans by the production tooling.

The model handles both single-page and double-page (spread) scans, making it a good general default when the document type is mixed or unknown.

Recommended Integration

Typical Cropilot settings for this model:

• Crop model: default_crop
• Rotation model: text

Training Data

The model was trained on a mixed corpus of digitized printed documents covering both single-page and double-page layouts. Approximate composition:

• ~80% books
• ~15% magazines / periodicals
• ~5% newspapers

The material spans roughly 1950–2010.

Limitations

• Performance is strongest on recent books; older material, heavily illustrated layouts, or document types outside the training mix may need validation or further fine-tuning.
• Book covers are detected poorly.

Example Download

from huggingface_hub import hf_hub_download

path = hf_hub_download(
    repo_id="cropilot-community/default_crop_v1",
    filename="default_crop_v1.pt",
)
print(path)

Versioning

This repository stores v1 of the default crop model. Newer fine-tuned models should be published as separate v<n> repositories so deployments remain reproducible.