The Classification of Latin Medieval Manuscripts (CLaMM) database was used in the ICFHR2016 Competition for Script Classification. The task to be evaluated in the competition was the classification of 1000 images of Latin Scripts, from handwritten books dated 500 C.E. to 1600 C.E.
Dataset homepage: https://clamm.irht.cnrs.fr/icfhr2016-clamm/icfhr2016-clamm/
Paper: https://journal.digitalmedievalist.org/articles/10.16995/dm.61/
The bash script download_data.sh provided in this directory can be used to download the actual image data.
Doing so will result in a folder images containing tif gray-scale images of Latin scripts.
We provide the following splits of the dataset for testing small-data performance:
| Split | Total Images | Images / Class |
|---|---|---|
| train | 360 | 30 |
| val | 240 | 20 |
| trainval | 600 | 50 |
| test | 1000 | 68-90 |
We achieved the following baseline performance using a ResNet-50 trained on the trainval split and averaged over 10 runs.
| Input Size | Accuracy |
|---|---|
| 224 x 224 | 75.35% |
| 448 x 448 | 81.53% |