FairScan Dataset

This repository contains a small, manually annotated dataset for training and evaluating the segmentation model used by FairScan to detect documents.

Overview

• Contents: Images of documents (photos) and corresponding binary masks
• Format: JPEG images + PNG masks (1 channel)
• Annotations: Created manually using LabelMe
• License: CC BY-NC-SA 4.0

Structure

The dataset is available via the Releases section of this repository. It is structured as follows:

.
├── train/
│   ├── images/
│   │   ├── img001.jpg
│   │   └── ...
│   └── masks/
│       ├── img001.png
│       └── ...
└──  val/
    ├── images/
    └── masks/

Example

Here's an example of an image and the associated mask:

License

The dataset is released under the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) license.

You are free to:

• Share — copy and redistribute the material in any medium or format
• Adapt — remix, transform, and build upon the material

Under the following terms:

• Attribution — You must give appropriate credit.
• NonCommercial — You may not use the material for commercial purposes.
• ShareAlike — If you remix, transform, or build upon the material, you must distribute your contributions under the same license.

See the full license text here.

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Feel free to open an issue if you notice errors in the annotations or would like to contribute improvements.