Case study: Histonets
Histonets is a application aimed at using machine learning and computer vision to extract road network data from historic atlases.
How does it use machine learning?
- Automated and manual image cleaning
- Image template matching
- Feature extraction
- Automated path finding
- Vector graph extraction from images
- User facilitated machine learning
How does it use IIIF?
- Uses the Image API as the glue between client interaction and image processing
- Import / export of content through the Presentation API
- Easily extended to new types of content and research areas that already use IIIF