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Sample Data for ICDAR'24 MapText Competition

<p>Data set of 353 image tiles (2Kx2K) cropped from 31 historical maps taken from nine (9) atlases for the&nbsp;<a href="https://rrc.cvc.uab.es/?ch=28">ICDAR'24 Competition on Historical Map Text Detection, Recognition, and Linking</a>.</p> <p>Annotations (<code>sample.json</code>) and images (<code>sample/*.png</code> within <code>sample.zip</code>) follow the format described at the competition website and can be evaluated using the official <a href="https://github.com/icdar-maptext/evaluation">evaluation repository</a> script.</p> <p>The data set contains 34,882 words in 31,200 label phrase groups; annotations result from automatically merging two distinct prior manual annotations (<a href="https://doi.org/11084/19349">Boateng Asante et al. 2017</a> and <a href="https://doi.org/11084/23295">Ray et al. 2018</a>). As a result, all text on the maps has been marked, but&mdash;unlike the official competition data&mdash;the annotations likely contain false negatives among the grouping (meaning, some words that should be linked into groups are not), and some words may divided into separate annotations, even individual characters.</p>

ShareScore

36/100

Overall dataset sharing score

Score breakdown

These five areas show where the dataset supports — or may limit — practical reuse.

Stewardship
4
Harmonization
4
Access
16
Reuse readiness
8
Engagement
4