metadata
license: mit
datasets:
- deepghs/anime_classification
metrics:
- accuracy
pipeline_tag: image-classification
tags:
- art
The model used to predict the types of anime images, which includes the following four categories:
- 3D: Images rendered in 3D, including Mikumikudance, Koikatsu, etc.
- Bangumi: Screenshots from anime videos.
- Comic: Images of manga that contain a significant amount of text or panel sequences.
- Illustration: General anime illustrations.
| Model | FLOPs | Accuracy | Confusion Matrix | Description |
|---|---|---|---|---|
| caformer_s36 | 22.10G | 88.19% | Confusion Matrix | Model: caformer_s36 from timm |
| caformer_s36_plus | 22.10G | 93.47% | Confusion Matrix | Model: caformer_s36.sail_in22k_ft_in1k_384 pratrained from timm |
| mobilenetv3 | 0.63G | 88.96% | Confusion Matrix | Model: mobilenetv3_large_100 from timm |
| mobilenetv3_plus | 0.63G | 89.92% | Confusion Matrix | Model: mobilenetv3_large_100 from timm, use SCELoss as loss function |
| mobilevitv2_150 | 9.09G | 88.21% | Confusion Matrix | Model: mobilevitv2_150 from timm |
