Sakuga-42M

Introduced by Pan et al. in Sakuga-42M Dataset: Scaling Up Cartoon Research

Sakuga-42M is a large-scale hand-drawn cartoon video dataset for academic research purposes, it comprises 42 million cartoon keyframes covering various artistic styles, regions, and years, with comprehensive semantic annotations including video-text description pairs, anime tags, content taxonomies, etc. The dataset is intended to support researchers in their exploration of more effective and practical solutions for creating cartoons.

Papers


Paper Code Results Date Stars

Dataset Loaders


No data loaders found. You can submit your data loader here.

Tasks


License


Modalities


Languages