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<div class='three spacing'></div>
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{% include section-header.html title="ICDAR2024 MapText Competition (English)" %}
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<h2 style="font-size: 2.5rem">ICDAR2024 MapText Competition (English)"</h2>
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<p style="font-size: 1.2rem"> The following links are for the <a href="https://www.davidrumsey.com/">David Rumsey Historical Map</a> data and Ground-Truth annotations used in the <a href="https://rrc.cvc.uab.es/?ch=28&com=introduction">ICDAR24 MapText Competition</a>.</p>
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<p style="font-size: 1.2rem"> The David Rumsey Collection hosts an extensive set of over 126,000 maps spanning maps from the 16th to the 21st century that encompass regions from every continent, the Pacific, the Arctic, and the entirety of the World. From this rich assortment, we have selected ~900 distinct representative maps for manual annotation. The sampled maps cover 80 regions and 183 distinct publication years (from 1623 to 2012).
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Digitized map images can be on the order of 6K-15K pixels per dimension. Thus, for each map, we crop a 2K×2K pixel tile for annotation and processing.
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We expect to have 150K-200K words across the map tiles. </p>
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<p style="font-size: 1.2rem">We host <a href="https://rrc.cvc.uab.es/?ch=28&com=introduction">ICDAR2024 MapText Competition</a>, aiming to detect, recognize, and link text on diverse historical maps.</p>
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<p style="font-size: 1.2rem">In the competition, we propose <strong>a new map benchmark dataset</strong> for training, validation, and evaluation, containing 940 images crops (2K×2K pixel tile) from ~900 distinct representative maps in the David Rumsey Collection.
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The <a href="https://www.davidrumsey.com/">David Rumsey Collection</a> hosts an extensive set of over 126,000 maps spanning maps from the 16th to the 21st century that encompass regions from every continent, the Pacific, the Arctic, and the entirety of the World. See <a href="https://link.springer.com/chapter/10.1007/978-3-031-70552-6_22">more details</a></p>
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<h3 style="font-size: 1.5rem">Training Data and Validation Data</h3>
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<p style="font-size: 1.2rem"><strong>Training:</strong> <a href="https://s3.msi.umn.edu/icdar24-competition-data/icdar24-train-png.zip">https://s3.msi.umn.edu/icdar24-competition-data/icdar24-train-png.zip</a>
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<p style="font-size: 1.2rem"><strong>Train Data Link:</strong> <a href="https://s3.msi.umn.edu/icdar24-competition-data/icdar24-train-png.zip">https://s3.msi.umn.edu/icdar24-competition-data/icdar24-train-png.zip</a>
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</p>
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<p style="font-size: 1.2rem"><strong>Validation:</strong> <a href="https://s3.msi.umn.edu/icdar24-competition-data/icdar24-val-png.zip">https://s3.msi.umn.edu/icdar24-competition-data/icdar24-val-png.zip</a></p>
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<h3 style="font-size: 1.5rem">Test Data</h3>
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<p style="font-size: 1.2rem"> To appear soon. </p>
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<p style="font-size: 1.2rem"><strong>Validation Data Link:</strong> <a href="https://s3.msi.umn.edu/icdar24-competition-data/icdar24-val-png.zip">https://s3.msi.umn.edu/icdar24-competition-data/icdar24-val-png.zip</a></p>
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<p style="font-size: 1.2rem"><strong>Test Data Link:</strong> Coming soon.</p>
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<h3 style="font-size: 1.5rem">Citation</h3>
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<p style="font-size: 1.2rem"> Li, Z., Lin, Y., Chiang, Y.Y., Weinman, J., Tual, S., Chazalon, J., Perret, J., Duménieu, B. and Abadie, N., 2024, August. ICDAR 2024 competition on historical map text detection, recognition, and linking. In International Conference on Document Analysis and Recognition (pp. 363-380). Cham: Springer Nature Switzerland. </p>
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<h3 style="font-size: 1.5rem">Annotation Details</h3>
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<p style="font-size: 1.2rem"> Here is the <a href="https://docs.google.com/document/d/1t7GvC5KN8WlAUq9UKIBPl-8dst19IR1lSx3jvFoGMpg/edit?usp=sharing"> guideline document</a>. Contact Yijun Lin or Zekun Li if you have any questions. </p>
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<p style="font-size: 1.2rem"> Please refer to the <a href="https://docs.google.com/document/d/1t7GvC5KN8WlAUq9UKIBPl-8dst19IR1lSx3jvFoGMpg/edit?usp=sharing"> guideline document</a> for annotation details. Contact Yijun Lin or Zekun Li if you have any questions. </p>
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