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We also provide the pre-trained models of the cuneiform sign detector for Neo-Assyrian script after completed iterative training on the [Cuneiform Sign Detection Dataset](https://compvis.github.io/cuneiform-sign-detection-dataset/).
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Finally, we make available a web application for the analysis of images of cuneiform clay tablets with the help of a pre-trained cuneiform sign detector.
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<img src="http://cunei.iwr.uni-heidelberg.de/cuneiformbrowser/functions/images_decent.jpg" alt="sign detections on tablet images: yellow box indicate TP and blue FP detections" width="700"/>
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<!--- <img src="http://cunei.iwr.uni-heidelberg.de/cuneiformbrowser/functions/images_difficult.jpg" alt="Web interface detection" width="500"/> -->
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## Repository description
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- General structure:
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@@ -86,15 +83,6 @@ The code of the web front-end is available in the [webapp repo](https://github.c
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The back-end code is part of this repository and is located in [lib/webapp/](./lib/webapp/).
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Below you find a short animation of how the sign detector is used with this web interface.
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<img src="http://cunei.iwr.uni-heidelberg.de/cuneiformbrowser/functions/demo_cuneiform_sign_detection.gif" alt="Web interface detection" width="700"/>
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For demonstration purposes, we also host an instance of the web application: [Demo Web Application](http://cunei.iwr.uni-heidelberg.de/cuneiformbrowser/).
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If you would like to test the web application, please contact us for user credentials to log in.
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Please note that this web application is a prototype for demonstration purposes only and not a production system.
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In case the website is not reachable, or other technical issues occur, please contact us.
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### Cuneiform font
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