Anime Classification
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:...
Source du modèle
- Type
- Other
- Taille du fichier
- 16,1–165 MB
- Version
- vRevision 28db738
- Mis à jour
- 28 sept. 2026
- Téléchargements
- 0
- Source
- Hugging Face
Description de la source
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.
- Not Painting: (Only available in new models) Any content that cannot be called a painting, such as artist promotional posts, game screenshots, chat logs, etc.
| Name | FLOPS | Params | Accuracy | AUC | Confusion | Labels |
|---|---|---|---|---|---|---|
| mobilenetv3_v1.5_dist | 0.63G | 4.18M | 94.56% | 0.9946 | confusion | 3d, bangumi, comic, illustration, not_painting |
| caformer_s36_v1.5_focal | 22.10G | 37.22M | 95.06% | 0.9957 | confusion | 3d, bangumi, comic, illustration, not_painting |
| caformer_s36_v1.4_focal_fixed | 22.10G | 37.22M | 96.21% | 0.9971 | confusion | 3d, bangumi, comic, illustration, not_painting |
| caformer_s36_v1.4_focal_fp32 | 22.10G | 37.22M | 95.98% | 0.9969 | confusion | 3d, bangumi, comic, illustration, not_painting |
| mobilenetv3_v1.4_dist | 0.63G | 4.18M | 94.77% | 0.9950 | confusion | 3d, bangumi, comic, illustration, not_painting |
| caformer_s36_v1.4_focal | 22.10G | 37.22M | 95.82% | 0.9967 | confusion | 3d, bangumi, comic, illustration, not_painting |
| mobilenetv3_v1.3_dist | 0.63G | 4.18M | 96.41% | 0.9973 | confusion | 3d, bangumi, comic, illustration, not_painting |
| caformer_s36_v1.3_focal | 22.10G | 37.22M | 97.16% | 0.9982 | confusion | 3d, bangumi, comic, illustration, not_painting |
| mobilenetv3_v1.2_dist | 0.63G | 4.18M | 96.53% | 0.9972 | confusion | 3d, bangumi, comic, illustration, not_painting |
| caformer_s36_v1.2_focal | 22.10G | 37.22M | 97.23% | 0.9982 | confusion | 3d, bangumi, comic, illustration, not_painting |
| caformer_s36_v1.1_focal | 22.10G | 37.22M | 95.99% | 0.9967 | confusion | 3d, bangumi, comic, illustration, not_painting |
| mobilenetv3_v1_dist | 0.63G | 4.18M | 94.04% | 0.9928 | confusion | 3d, bangumi, comic, illustration, not_painting |
| caformer_s36_v1 | 22.10G | 37.22M | 94.72% | 0.9934 | confusion | 3d, bangumi, comic, illustration, not_painting |
| mobilenetv3_dist | 0.63G | 4.18M | 91.98% | 0.9879 | confusion | 3d, bangumi, comic, illustration |
| mobilenetv3_sce_dist | 0.63G | 4.18M | 92.35% | 0.9854 | confusion | 3d, bangumi, comic, illustration |
| caformer_s36_plus | 22.10G | 37.22M | 93.47% | 0.9891 | confusion | 3d, bangumi, comic, illustration |
| mobilenetv3 | 0.63G | 4.18M | 88.96% | N/A | confusion | 3d, bangumi, comic, illustration |
| mobilevitv2_150 | 9.09G | 9.79M | 88.21% | N/A | confusion | 3d, bangumi, comic, illustration |
| mobilenetv3_sce | 0.63G | 4.18M | 89.92% | 0.9786 | confusion | 3d, bangumi, comic, illustration |
| caformer_s36 | 22.10G | 37.22M | 88.19% | N/A | confusion | 3d, bangumi, comic, illustration |
| 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_dist | 0.63G | 91.98% | Confusion Matrix | Distrillated from caformer_s36_plus, using mobilenetv3_large_100 with focal loss |
| mobilenetv3_sce | 0.63G | 89.92% | Confusion Matrix | Model: mobilenetv3_large_100 from timm, use SCELoss as loss function |
| mobilenetv3_sce_dist | 0.63G | 92.35% | Confusion Matrix | Distrillated from caformer_s36_plus, using mobilenetv3_large_100 with SCELoss |
| mobilevitv2_150 | 9.09G | 88.21% | Confusion Matrix | Model: mobilevitv2_150 from timm |
Sources
1 source
Sources
1 sourceVérifié 28 sept.
Artefacts du modèle
40 artefacts
Artefacts du modèle
40 artefactscaformer_s36_v1.1_focal/model.ckpt
ckpt · 165 MB · SHA-256 6328e4efb25e…bbd2 · Hugging Face
Téléchargercaformer_s36_v1.1_focal/model.onnx
onnx · 143 MB · SHA-256 f5d294c431b9…7005 · Hugging Face
Téléchargercaformer_s36_v1.2_focal/model.ckpt
ckpt · 165 MB · SHA-256 f5b65908713c…5780 · Hugging Face
Téléchargercaformer_s36_v1.2_focal/model.onnx
onnx · 143 MB · SHA-256 323656348b9d…aa22 · Hugging Face
Téléchargercaformer_s36_v1.3_focal/model.ckpt
ckpt · 165 MB · SHA-256 e3107a38e225…44e7 · Hugging Face
Téléchargercaformer_s36_v1.3_focal/model.onnx
onnx · 143 MB · SHA-256 279e3bf127c7…860e · Hugging Face
Téléchargercaformer_s36_v1.4_focal_fixed/model.ckpt
ckpt · 165 MB · SHA-256 65dfd09994b9…bd4e · Hugging Face
Téléchargercaformer_s36_v1.4_focal_fixed/model.onnx
onnx · 143 MB · SHA-256 61e625066a34…e05e · Hugging Face
Téléchargercaformer_s36_v1.4_focal_fp32/model.ckpt
ckpt · 165 MB · SHA-256 8e3374ee6f7b…3b9b · Hugging Face
Téléchargercaformer_s36_v1.4_focal_fp32/model.onnx
onnx · 143 MB · SHA-256 968990b4a2aa…fc46 · Hugging Face
Téléchargercaformer_s36_v1.4_focal/model.ckpt
ckpt · 165 MB · SHA-256 560741925bbb…c553 · Hugging Face
Téléchargercaformer_s36_v1.4_focal/model.onnx
onnx · 143 MB · SHA-256 36e5838d22df…a025 · Hugging Face
Téléchargercaformer_s36_v1.5_focal/model.ckpt
ckpt · 165 MB · SHA-256 144c77d00470…43be · Hugging Face
Téléchargercaformer_s36_v1.5_focal/model.onnx
onnx · 143 MB · SHA-256 6578bb8435cd…e8bb · Hugging Face
Téléchargermobilenetv3_v1.2_dist/model.ckpt
ckpt · 38,6 MB · SHA-256 28c77fce5dc9…6cec · Hugging Face
Téléchargermobilenetv3_v1.2_dist/model.onnx
onnx · 16,1 MB · SHA-256 775f520f28ff…2dfb · Hugging Face
Téléchargermobilenetv3_v1.3_dist/model.ckpt
ckpt · 38,6 MB · SHA-256 023b6077750a…b047 · Hugging Face
Téléchargermobilenetv3_v1.3_dist/model.onnx
onnx · 16,1 MB · SHA-256 fa233c04467c…d115 · Hugging Face
Téléchargermobilenetv3_v1.4_dist/model.ckpt
ckpt · 38,6 MB · SHA-256 3b177f71d325…1d71 · Hugging Face
Téléchargermobilenetv3_v1.4_dist/model.onnx
onnx · 16,1 MB · SHA-256 904d972ed10e…7d70 · Hugging Face
Téléchargermobilenetv3_v1.5_dist/model.ckpt
ckpt · 38,7 MB · SHA-256 4129fc24dfa7…9c70 · Hugging Face
Téléchargermobilenetv3_v1.5_dist/model.onnx
onnx · 16,1 MB · SHA-256 ea8f4497b0e3…d111 · Hugging Face
TéléchargerExtraits de sources
2 extraits
Extraits de sources
2 extraits--- 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. * Not Painting: (Only available in new models) Any content that cannot be called a painting, such as artist promotional posts, game screenshots, chat logs, etc. | Name | FLOPS | Params | Accuracy | AUC | Confusion | Labels | |:-----------------------------:|:-------:|:--------:|:----------:|:------:|:---------------------------------------------------------------------------------------------------------------------------:|:--------------------------------------------------------:| | mobilenetv3_v1.5_dist | 0.63G | 4.18M | 94.56% | 0.9946 | [confusion](https://huggingface.co/deepghs/anime_classification/blob/main/mobilenetv3_v1.5_dist/plot_confusion.png) | `3d`, `bangumi`, `comic`, `illustration`, `not_painting` | | caformer_s36_v1.5_focal | 22.10G | 37.22M | 95.06% | 0.9957 | [confusion](https://huggingface.co/deepghs/anime_classification/blob/main/caformer_s36_v1.5_focal/plot_confusion.png) | `3d`, `bangumi`, `comic`, `illustration`, `not_painting` | | caformer_s36_v1.4_focal_fixed | 22.10G | 37.22M | 96.21% | 0.9971 | [confusion](https://huggingface.co/deepghs/anime_classification/blob/main/caformer_s36_v1.4_focal_fixed/plot_confusion.png) | `3d`, `bangumi`, `comic`, `illustration`, `not_painting` | | caformer_s36_v1.4_focal_fp32 | 22.10G | 37.22M | 95.98% | 0.9969 | [confusion](https://huggingface.co/deepghs/anime_classification/blob/main/caformer_s36_v1.4_focal_fp32/plot_confusion.png) | `3d`, `bangumi`, `comic`, `illustration`, `not_painting` | | mobilenetv3_v1.4_dist | 0.63G | 4.18M | 94.77% | 0.9950 | [confusion](https://huggingface.co/deepghs/anime_classification/blob/main/mobilenetv3_v1.4_dist/plot_confusion.png) | `3d`, `bangumi`, `comic`, `illustration`, `not_painting` | | caformer_s36_v1.4_focal | 22.10G | 37.22M | 95.82% | 0.9967 | [confusion](https://huggingface.co/deepghs/anime_classification/blob/main/caformer_s36_v1.4_focal/plot_confusion.png) | `3d`, `bangumi`, `comic`, `i...
Source context: 0 downloads · 1 likes · Pipeline image-classification · Repo Library-Mutsumi/anime_classification
