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license: mit |
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pipeline_tag: image-classification |
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--- |
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A classification using mmpretrain trained to classify western images based on ConvNeXtV2-tiny.Used for classifying anime images based on whether they are in the Western style. |
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The evaluation accuracy on the validation set is 95%. |
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Trained using 7,000 Western images and 8,000 non-Western images, with the Western training set sampled from e-hentai. |
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Of course, this model also has many shortcomings, such as a very low recognition accuracy for line-drawing images. |
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Huggingface space:https://huggingface.co/spaces/TLME/western-anime-images-classification |
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# How to use |
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Python>=3.9 |
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``` |
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Install pytorch |
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pip install -r requirements.txt |
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edit infer.py , change "path = './testimg/'" to your target folder |
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python infer.py |
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``` |
