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Anime Rating

Image rating (safe, r15, r18) prediction model.

ArtOtherVersionRevision be15808

Modellquelle

Art
Other
Dateigröße
16,0–382 MB
Version
vRevision be15808
Aktualisiert
28. Sept. 2026
Downloads
0
Quelle
Hugging Face

Quellenbeschreibung

Image rating (safe, r15, r18) prediction model.

Please note that due to the often unclear boundaries between safe, r15 and r18 levels, there is no objective ground truth for this task, and the data is scraped without any manual filtering. Therefore, the models trained on this dataset can only provide rough judgments. If you require an accurate solution for classifying R18 images, it is recommended to consider a solution based on keypoint object detection.

ModelFLOPsAccuracyConfusion MatrixDescription
caformer_s36_plus22.10G74.26%Confusion MatrixModel: caformer_s36.sail_in22k_ft_in1k_384 pratrained from timm
mobilenetv30.63G64.77%Confusion MatrixModel: mobilenetv3_large_100 from timm
mobilenetv3_sce0.63G66.27%Confusion MatrixModel: mobilenetv3_large_100 from timm, use SCELoss as loss function
mobilenetv3_sce_dist0.63G69.49%Confusion MatrixDistillated from caformer_s36_plus, using mobilenetv3_large_100

Quellen

1 Quelle
Hugging FacePrimärVersion be1580893d6dc338be18dbb78c4d5aa9b18813f2
huggingface.co/Library-Mutsumi/anime_rating/tree/be1580893d6dc338be18dbb78c4d5aa9b18813f2

Verifiziert 28. Sept.

Modellartefakte

14 Artefakte

caformer_b36_v1_pruned_ls0.1/model.ckpt

ckpt · 382 MB · SHA-256 3232531fdf85…f4d5 · Hugging Face

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caformer_b36_v1_pruned_ls0.1/model.onnx

onnx · 366 MB · SHA-256 b3dd4b62e477…cc7d · Hugging Face

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caformer_s36_plus/model.ckpt

ckpt · 155 MB · SHA-256 79009daa6582…a81c · Hugging Face

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caformer_s36_plus/model.onnx

onnx · 143 MB · SHA-256 fd5fdea9a8b6…1287 · Hugging Face

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caformer_s36_v1_pruned_ls0.1/model.ckpt

ckpt · 159 MB · SHA-256 5a665cca6a39…77f1 · Hugging Face

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caformer_s36_v1_pruned_ls0.1/model.onnx

onnx · 143 MB · SHA-256 020d981e27ab…7f60 · Hugging Face

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mobilenetv3_sce_dist/model.ckpt

ckpt · 28,5 MB · SHA-256 39cf0405dcda…3263 · Hugging Face

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mobilenetv3_sce_dist/model.onnx

onnx · 16,0 MB · SHA-256 31814ba076d6…de4e · Hugging Face

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mobilenetv3_sce/model.ckpt

ckpt · 28,5 MB · SHA-256 9857d850e377…2d86 · Hugging Face

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mobilenetv3_sce/model.onnx

onnx · 16,0 MB · SHA-256 23061498fcbb…f622 · Hugging Face

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mobilenetv3_v1_pruned_ls0.1/model.ckpt

ckpt · 32,8 MB · SHA-256 ecab5f4b176b…41e4 · Hugging Face

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mobilenetv3_v1_pruned_ls0.1/model.onnx

onnx · 16,0 MB · SHA-256 76e5c4470442…544d · Hugging Face

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mobilenetv3/model.ckpt

ckpt · 26,5 MB · SHA-256 bedb171ed790…64ff · Hugging Face

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mobilenetv3/model.onnx

onnx · 16,0 MB · SHA-256 ec0ef7b568f7…b9a2 · Hugging Face

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Quellenauszüge

2 Auszüge

--- license: mit datasets: - deepghs/anime_rating metrics: - accuracy pipeline_tag: image-classification tags: - art --- Image rating (`safe`, `r15`, `r18`) prediction model. Please note that due to the often unclear boundaries between `safe`, `r15` and `r18` levels, there is no objective ground truth for this task, and the data is scraped without any manual filtering. Therefore, the models trained on this dataset can only provide rough judgments. If you require an accurate solution for classifying `R18` images, it is recommended to consider a solution based on keypoint object detection. | Model | FLOPs | Accuracy | Confusion Matrix | Description | |:--------------------:|:------:|:--------:|:-----------------------------------------------------------------------------------------------------------------:|----------------------------------------------------------------------| | caformer_s36_plus | 22.10G | 74.26% | [Confusion Matrix](https://huggingface.co/deepghs/anime_rating/blob/main/caformer_s36_plus/plot_confusion.png) | Model: caformer_s36.sail_in22k_ft_in1k_384 pratrained from timm | | mobilenetv3 | 0.63G | 64.77% | [Confusion Matrix](https://huggingface.co/deepghs/anime_rating/blob/main/mobilenetv3/plot_confusion.png) | Model: mobilenetv3_large_100 from timm | | mobilenetv3_sce | 0.63G | 66.27% | [Confusion Matrix](https://huggingface.co/deepghs/anime_rating/blob/main/mobilenetv3_sce/plot_confusion.png) | Model: mobilenetv3_large_100 from timm, use SCELoss as loss function | | mobilenetv3_sce_dist | 0.63G | 69.49% | [Confusion Matrix](https://huggingface.co/deepghs/anime_rating/blob/main/mobilenetv3_sce_dist/plot_confusion.png) | Distillated from caformer_s36_plus, using mobilenetv3_large_100 |

Source context: 0 downloads · 0 likes · Pipeline image-classification · Repo Library-Mutsumi/anime_rating