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Sync README for deepghs/anime_classification, on 2024-10-27 22:06:45 UTC
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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.
  • 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
caformer_s36_v1.5_focal 22.10G 37.22M 94.93% 0.9956 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
mobilevitv2_150 9.09G 9.79M 88.21% N/A confusion 3d, bangumi, comic, illustration
mobilenetv3 0.63G 4.18M 88.96% 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