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 Model: caformer_s36.sail_in22k_ft_in1k_384 pratrained from timm
mobilenetv3 0.63G 64.77% Confusion Matrix Model: mobilenetv3_large_100 from timm
mobilenetv3_sce 0.63G 66.27% Confusion Matrix Model: mobilenetv3_large_100 from timm, use SCELoss as loss function
mobilenetv3_sce_dist 0.63G 69.49% Confusion Matrix Distillated from caformer_s36_plus, using mobilenetv3_large_100
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