Monochrome Detect
The models used for determining whether an anime image is monochrome have a training size of 384.
Model source
- Kind
- Other
- File size
- 16.0–155 MB
- Version
- vRevision ddb4bdf
- Updated
- Sep 28, 2026
- Downloads
- 0
- Source
- Hugging Face
Source description
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 |
Sources
1 source
Sources
1 sourceVerified Sep 28
Model artifacts
16 artifacts
Model artifacts
16 artifactsmobilenetv3_large_100_dist_safe2/model.ckpt
ckpt · 28.4 MB · SHA-256 278cfde9cd0d…bdfb · Hugging Face
Downloadmobilenetv3_large_100_dist_safe2/model.onnx
onnx · 16.0 MB · SHA-256 35804ca819e3…2db5 · Hugging Face
Downloadmobilenetv3_large_100_dist/model.ckpt
ckpt · 28.4 MB · SHA-256 3a4085440f79…145a · Hugging Face
Downloadmobilenetv3_large_100_dist/model.onnx
onnx · 16.0 MB · SHA-256 73d0a20dc809…d070 · Hugging Face
Downloadmobilenetv3_large_100_safe2/model.ckpt
ckpt · 28.4 MB · SHA-256 1e350599c829…76a3 · Hugging Face
Downloadmobilenetv3_large_100_safe2/model.onnx
onnx · 16.0 MB · SHA-256 6bd7e9cd3d76…bb58 · Hugging Face
DownloadSource excerpts
2 excerpts
Source excerpts
2 excerpts--- 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](https://huggingface.co/deepghs/monochrome_detect/blob/main/caformer_s36/plot_confusion.png) | Model: caformer_s36 from timm | | caformer_s36_safe2 | 22.10G | 95.52% | [Confusion Matrix](https://huggingface.co/deepghs/monochrome_detect/blob/main/caformer_s36_safe2/plot_confusion.png) | Model: caformer_s36 from timm, which have better precision and lower recall than caformer_s36 | | caformer_s36_plus | 22.10G | 97.31% | [Confusion Matrix](https://huggingface.co/deepghs/monochrome_detect/blob/main/caformer_s36_plus/plot_confusion.png) | Model: caformer_s36.sail_in22k_ft_in1k_384 pratrained from timm | | caformer_s36_plus_safe2 | 22.10G | 97.09% | [Confusion Matrix](https://huggingface.co/deepghs/monochrome_detect/blob/main/caformer_s36_plus_safe2/plot_confusion.png) | 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](https://huggingface.co/deepghs/monochrome_detect/blob/main/mobilenetv3_large_100/plot_confusion.png) | Model: mobilenetv3_large_100 from timm | | mobilenetv3_large_100_dist | 0.63G | 96.30% | [Confusion Matrix](https://huggingface.co/deepghs/monochrome_detect/blob/main/mobilenetv3_large_100_dist/plot_confusion.png) | Distillated from caformer_s36_plus, using mobilenetv3_large_100 | | mobilenetv3_large_100_safe2 | 0.63G | 94.62% | [Confusion Matrix](https://huggingface.co/deepghs/monochrome_detect/blob/main/mobilenetv3_large_100_safe2/plot_confusion.png) | Model: mobilenetv3_large_100 from timm, which have better precision and lower recall than mobilenetv3_large_100 | | mobilenetv3_large_100_dist_safe2 | 0.63G...
Source context: 0 downloads · 0 likes · Pipeline image-classification · Repo Library-Mutsumi/monochrome_detect
