metadata
license: mit
datasets:
- deepghs/monochrome_danbooru
metrics:
- accuracy
pipeline_tag: image-classification
tags:
- art
The models used for determining whether an anime image is monochrome have a training size of 384.
| Model | FLOPs | Accuracy | Confusion Matrix | Description |
|---|---|---|---|---|
| caformer_s36 | 22.10G | 95.63% | Confusion Matrix | Model: caformer_s36 from timm |
| caformer_s36_safe2 | 22.10G | 95.52% | Confusion Matrix | Model: caformer_s36 from timm, which have better precision and lower recall than caformer_s36 |
| caformer_s36_plus | 22.10G | 97.31% | Confusion Matrix | Model: caformer_s36.sail_in22k_ft_in1k_384 pratrained from timm |
| caformer_s36_plus_safe2 | 22.10G | 97.09% | Confusion Matrix | Model: caformer_s36.sail_in22k_ft_in1k_384 pratrained from timm, which have better precision and lower recall than caformer_s36.sail_in22k_ft_in1k_384 |
| mobilenetv3_large_100 | 0.63G | 95.40% | Confusion Matrix | Model: mobilenetv3_large_100 from timm |
| mobilenetv3_large_100_dist | 0.63G | 96.30% | Confusion Matrix | Distillated from caformer_s36_plus, using mobilenetv3_large_100 |
| mobilenetv3_large_100_safe2 | 0.63G | 94.62% | Confusion Matrix | Model: mobilenetv3_large_100 from timm, which have better precision and lower recall than mobilenetv3_large_100 |
| mobilenetv3_large_100_dist_safe2 | 0.63G | 95.85% | Confusion Matrix | Distillated from caformer_s36_plus_safe2, using mobilenetv3_large_100 |
