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---
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 |
| 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_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 |
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