---
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](https://huggingface.co/docs/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

1. Select a sample manifest or paste your own IIIF manifest URL
2. Click "Load Manifest" to fetch the book
3. Click "Classify" to detect illustrated pages
4. Browse results, adjust confidence threshold, export annotations

## Model

Uses [small-models-for-glam/historical-illustration-detector](https://huggingface.co/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- a 2.5MB quantized MobileNetV2 fine-tuned for historical document classification.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](https://huggingface.co/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](https://huggingface.co/small-models-for-glam/historical-illustration-detector/discussions).