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<!DOCTYPE html>
<html lang="en">
<head>
<meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
<title>AIKON: A Modular Computer Vision Platform for Historical Corpora</title>
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<meta name="description" content="Studying Scientific Representations in Diachronic Corpora">
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<body data-theme="light">
<nav class="navbar" role="navigation" aria-label="main navigation">
<div class="navbar-brand">
<a class="navbar-item" href="/">
<img src="static/img/favicon.png" alt="AIKON logo" style="height: 28px;">
<span class="ml-2 has-text-weight-semibold">AIKON</span>
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<div class="navbar-item has-dropdown is-hoverable">
<a class="navbar-link" href="userguide/index.html">
Documentation
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<a class="navbar-item" href="userguide/corpus-constitution.html">
Corpus constitution
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<a class="navbar-item" href="userguide/document-processing.html">
Document processing
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Analysis & interpretation
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<div class="container">
<h1 class="title is-2 py-3 px-4">
<img src="static/img/favicon.png" alt="Aikon logo" style="height:30px; width: 30px; display: inline">
AIKON: A Modular Computer Vision Platform for Historical Corpora
</h1>
<div class="reference">
<div class="authors pb-3">
<p>
Ségolène Albouy<sup>1</sup>,
Somkeo Norindr<sup>2</sup>,
Paul Kervegan<sup>1</sup>,
Fouad Aouinti<sup>3</sup>,
Clara Grometto<sup>2</sup>,
Robin Champenois<sup>1</sup>,
Alexandre Guilbaud<sup>3</sup>,
Matthieu Husson<sup>2</sup>,
Stavros Lazaris<sup>4</sup>,
Mathieu Aubry<sup>1</sup>
</p>
</div>
<div class="affiliations">
<sup>1</sup> LIGM - Imagine team, École des Ponts, Univ Gustave Eiffel, CNRS, Marne-la-Vallée, France<br>
<sup>2</sup> LTE, Observatoire de Paris-PSL, CNRS, Paris, France<br>
<sup>3</sup> ISCD, Institut de mathématique de Jussieu, Sorbonne Université, Paris, France<br>
<sup>4</sup> Orient & Méditerranée - UMR 8167, Collège de France, EPHE, Sorbonne Université, Paris, France<br>
</div>
</div>
<blockquote>
AIKON is a modular computer vision platform that enables historians to build, process, and analyze
visual corpora at scale. The platform guides users through a complete workflow from corpus construction
to algorithmic processing and result validation, without requiring technical expertise. Built on IIIF
standards and featuring a flexible data model, AIKON supports collaborative research while maintaining
full user control over automatic processing. Its modular architecture allows easy integration of new
computer vision algorithms and visualization tools, making it adaptable to diverse research needs across
historical document analysis.
</blockquote>
<div class="content">
<h2 class="title">Platforms</h2>
<div class="boxes" style="justify-content: center;">
<div class="grey-box">
<h3>AIKON Platform</h3>
<p>Main platform for computer vision analysis of historical documents</p>
<div class="buttons">
<a class="button is-small" href="https://github.com/Aikon-platform/aikon" target="_blank">
<span class="icon is-small">
<i class="fab fa-github"></i>
</span>
<span>Repository</span>
</a>
<a class="button is-small" href="https://github.com/Aikon-platform/aikon/wiki/" target="_blank">
<span class="icon is-small">
<i class="fab fa-github"></i>
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<span>Technical documentation</span>
</a>
<a class="button is-small" href="userguide/index.html"target="_blank">
<span class="icon is-small">
<i class="fab fa-external-link-alt"></i>
</span>
<span>User documentation</span>
</a>
<a class="button is-small is-link" href="https://aikon.enpc.fr" target="_blank">
<span class="icon is-small">
<i class="fa fa-external-link-alt"></i>
</span>
<span>Demo website</span>
</a>
</div>
</div>
<div class="grey-box">
<h3>AIKON Demo</h3>
<p>Demo version showcasing platform capabilities</p>
<div class="buttons">
<a class="button is-small" href="https://github.com/Aikon-platform/aikon-demo" target="_blank">
<span class="icon is-small">
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<span>Repository</span>
</a>
<a class="button is-small is-link" href="https://aikon-demo.huma-num.fr/" target="_blank">
<span class="icon is-small">
<i class="fa fa-external-link-alt"></i>
</span>
<span>Demo website</span>
</a>
</div>
</div>
</div>
</div>
<p class="buttons is-centered pt-3">
<a class="button is-medium" href="https://hal.science/hal-05248250" target="_blank">
<span class="icon">
<i class="fa fa-book"></i>
</span>
<span>Technical article</span>
</a>
<a class="button is-medium" href="https://hal.science/hal-05249619" target="_blank">
<span class="icon">
<i class="fa fa-book"></i>
</span>
<span>Case Studies</span>
</a>
<a class="button is-medium" href="https://docs.google.com/presentation/d/e/2PACX-1vTZ1cwAzy9YppXFgB3q9P-BXkFGck8F0FzdvrlTMDxhRdHxaPhinTWAIKyT_GATYEAgWEEE1mXrQvDt/pub?start=false&loop=false&delayms=3000" target="_blank">
<span class="icon">
<i class="fa fa-file-powerpoint"></i>
</span>
<span>Presentation</span>
</a>
</p>
<div class="content">
<h2 class="title">Overview</h2>
<img class="image px-3" src="static/img/teaser.png" alt="Aikon capabilities">
<p class="py-3">
At its core, Aikon allows researchers to describe their sources, import scans, request automatic processing,
and manually refine results. Built on proven technologies and interoperable formats, including established
standards such as IIIF, the platform's architecture supports a wide range of visual materials. Aikon's data
model, centered around the concepts of Series, Witness, and Content, provides a flexible framework capable
of describing diverse source materials while facilitating alignment across varied corpora.
</p>
<p class="py-3">
The platform's modular structure enables easy integration of additional functionalities, with current
applications including illustration extraction, similarity search, and vectorization. Aikon is not tied to
any predetermined analysis methods; all stages can be performed manually or automated, with specialized
models customizable to specific datasets. This approach ensures adaptability to various research needs while
maintaining reproducibility. By fostering interdisciplinary collaboration and sustainability across digital
humanities projects, Aikon aims to assist researchers to explore corpora at an unprecedented scale, helping
to bridge the gap between advanced computational methods and the nuanced requirements of humanities research.
</p>
</div>
<div class="content">
<h2 class="title">Key Features</h2>
<ul class="feature-list">
<li>Description and visualization of historical sources</li>
<li>Custom AI models trained for heritage documents</li>
<li>Automatic results exploration and edition</li>
<li>Modular architecture for diverse research purposes</li>
</ul>
<img class="image px-3" src="static/img/workflow.png" alt="Aikon workflow">
</div>
<div class="content">
<h2 class="title">Collaborating Projects</h2>
<div class="boxes">
<div class="grey-box">
<h3>VHS</h3>
<p>Computer Vision and Historical Analysis of Scientific Illustration Circulation</p>
<a class="tag is-link" href="https://anr.fr/Projet-ANR-21-CE38-0008">ANR-21-CE38-0008</a>
</div>
<div class="grey-box">
<h3>EiDA</h3>
<p>EdIter et analyser les Diagrammes astronomiques historiques avec l'intelligence Artificielle</p>
<a class="tag is-link" href="https://anr.fr/Projet-ANR-22-CE38-0014">ANR-22-CE38-0014</a>
</div>
<div class="grey-box">
<h3>DISCOVER</h3>
<p>Discovering and Analyzing Visual Structures</p>
<a class="tag is-link" href="https://cordis.europa.eu/project/id/101076028">ERC-101076028</a>
</div>
</div>
</div>
<div class="content">
<h2 class="title">Platform Interface</h2>
<p class="py-3">
To get an account on <a href="https://aikon.enpc.fr" target="_blank">aikon.enpc.fr</a> to try all platform
features, don't hesitate to <a href="mailto:segolene.enpc@gmail.com">contact us</a>.
</p>
<img class="image px-3" src="static/img/similarity-interface.png" alt="Similarity exploration interface">
</div>
<div class="content">
<h2 class="title">Get Involved</h2>
<p>
Explore the Aikon project and contribute to its development on
<a href="https://github.com/Aikon-platform/aikon" target="_blank">GitHub <i class="fab fa-github"></i></a>.
</p>
</div>
<div class="content">
<h2 class="title">Bibtex</h2>
<pre class="code">@article{albouy2025aikon,
title={{AIKON : A Modular Computer Vision Platform for Historical Corpora}},
author={
Albouy, Ségolène and
Norindr, Somkeo and
Kervegan, Paul and
Aouinti, Fouad and
Delanaux, Rémy and
Champenois, Robin and
Lazaris, Stavros and
Guilbaud, Alexandre and
Husson, Matthieu and
Aubry, Mathieu
},
url={https://hal.science/hal-05248250},
year={2025},
month={Sep},
number={hal-05248250},
journal={HAL Pre-Print},
keyword={Digital Humanities, Computer Vision, Historical Documents, Visual Analysis},
}</pre>
</div>
</div>
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<figure class="image is-128x128 is-center mt-2">
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<a class="column is-2" href="https://www.ins2i.cnrs.fr/fr/cnrsinfo/erc-des-ia-pour-faciliter-lanalyse-de-donnees-historiques-et-dimages-satellites">
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<b>Aikon</b> is supported by the ERC project DISCOVER, funded by the European Union’s Horizon Europe
<br>Research and Innovation program under grant agreement No. 101076028.
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