metadata
license: openrail
task_categories:
- image-classification
tags:
- art
size_categories:
- 100K<n<1M
The dataset is used for classifying portrait images in anime videos and is specifically divided into the following four categories:
- Vision: Overall character images (may include instances of facial drawing issues; not recommended to split when training LoRA).
- Imagery: Clear character images (both facial and upper-body features are clear).
- Halfbody: Upper-body character images (mostly dominated by the head, with some partial upper-body features).
- Face: Close-up shots of character faces (close-up shots of faces with highly clear features in appearance and expression).
| Dataset | Vision | Imagery | Halfbody | Face |
|---|---|---|---|---|
| v0 | 46866 | 49671 | 49685 | 49438 |