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Clustering coins with respect to their die is an important component ofnumismatic research and crucial for understanding the economic history oftribes (especially when literary production does not exist, in celtic culture).It is a very hard task that requires a lot of times and expertise. To clusterthousands of coins, automatic methods are becoming necessary. Nevertheless,public datasets for coin die clustering evaluation are too rare, though theyare very important for the development of new methods. Therefore, we propose anew 3D dataset of 2 070 scans of coins. With this dataset, we propose twobenchmarks, one for point cloud registration, essential for coin dierecognition, and a benchmark of coin die clustering. We show how weautomatically cluster coins to help experts, and perform a preliminaryevaluation for these two tasks. The code of the baseline and the dataset willbe publicly available at https://www.npm3d.fr/coins-riedones3d andhttps://www.chronocarto.eu/spip.php?article84&lang=fr

Riedones3D: a celtic coin dataset for registration and fine-grained clustering