Metom

Metom is a Vision Transformer classifier for kuzushiji. It takes an image containing one character and returns a character label or ranked candidates.

Research release

The input is one character, not an entire page

The card describes separate training, validation and evaluation splits and supplies top-k label examples with probabilities. Page layout analysis and character segmentation are outside the stated classifier input.Metom official model card

Working with this release

Practical guidance. Crop a single character before classification. Preserve several candidates for damaged or ambiguous marks so a human can compare them with surrounding text.

Specifications & access

Metom specifications
DetailValue and conditions
StatusResearch release
AccessDownloadable
Model identifiersSakanaAI/Metom
Training scope2,703 character classes, each occurring at least five times in the source dataset.Metom official model card
Training dataROIS-DS CODH Japanese classical-book character dataset.Metom official model card
LicenseApache 2.0Metom official model card