KaoKore: A Pre-modern Japanese Art Facial Expression Dataset

Understand

From classifying handwritten digits to generating strings of text, the datasets which have received long-time focus from the machine learning community vary greatly in their subject matter.

• This has motivated a renewed interest in building datasets which are socially and culturally relevant, so that algorithmic research may have a more direct and immediate impact on society.
• One such area is in history and the humanities, where better and relevant machine learning models can accelerate research across various fields.
• To this end, newly released benchmarks and models have been proposed for transcribing historical Japanese cursive writing, yet for the field as a whole using machine learning for historical Japanese artworks still remains largely uncharted.