metadata
title: IIIF Illustration Detector
emoji: 🖼️
colorFrom: green
colorTo: gray
sdk: static
pinned: false
short_description: Find illustrated pages in digitized historical books
IIIF Illustration Detector
Automatically identify illustrated pages in digitized historical books using a lightweight AI model that runs entirely in your browser.
Features
- Client-side inference: Uses transformers.js - no server required
- Privacy-preserving: Images never leave your browser
- IIIF v2 & v3 support: Works with manifests from libraries worldwide
- Fast: ~20ms per page classification
- Export: Download results as IIIF Annotations
How to Use
- Select a sample manifest or paste your own IIIF manifest URL
- Click "Load Manifest" to fetch the book
- Click "Classify" to detect illustrated pages
- Browse results, adjust confidence threshold, export annotations
Model
Uses small-models-for-glam/historical-illustration-detector - a 2.5MB quantized MobileNetV2 fine-tuned for historical document classification.
- Accuracy: 95% on test set
- Classes:
illustrated/not-illustrated
What counts as "illustrated"?
- Engravings, woodcuts, lithographs
- Photographs and artwork
- Maps, diagrams, charts
- Scientific illustrations
Not counted: Decorative drop caps, ornamental borders, printer's devices.
Part of small-models-for-glam
This tool is part of small-models-for-glam - efficient, task-specific models for cultural heritage applications.
Feedback
Found an incorrect prediction? Use the "Report Issue" button in the app, or open a discussion.