Ai Image Corrupted

--- license: openrail metrics: - accuracy pipeline_tag: image-classification tags: - art datasets: - deepghs/ai_image_corrupted library_name: dghs-imgutils --- This is the classifier model for predicting the anime-style stable-diffusion-generated images are corrupted or not. Trained on dataset [deepghs/ai_image_corrupted](https://huggingface.co/datasets/deepghs/ai_image_corrupted). ## Models | Name | FLOPS | Params | Accuracy | AUC | Confusion | Labels | |:-------------------------:|:-------:|:--------:|:----------:|:------:|:---------------------------------------------------------------------------------------------------------------------:|:---------------------:| | caformer_s36_v0_focal | 22.10G | 37.21M | 95.65% | 0.9916 | [confusion](https://huggingface.co/deepghs/ai_image_corrupted/blob/main/caformer_s36_v0_focal/plot_confusion.png) | `corrupted`, `normal` | | caformer_s36_v0_sce | 22.10G | 37.21M | 95.77% | 0.9894 | [confusion](https://huggingface.co/deepghs/ai_image_corrupted/blob/main/caformer_s36_v0_sce/plot_confusion.png) | `corrupted`, `normal` | | mobilenetv3_v0_focal_dist | 0.63G | 4.18M | 94.02% | 0.9842 | [confusion](https://huggingface.co/deepghs/ai_image_corrupted/blob/main/mobilenetv3_v0_focal_dist/plot_confusion.png) | `corrupted`, `normal` | ## How to Use You can use this model with [dghs-imgutils](https://dghs-imgutils.deepghs.org/main/api_doc/generic/classify.html). ```python from imgutils.generic import classify_predict_score classify_predict_score( 'sample_image.png', repo_id='deepghs/ai_image_corrupted', model_name='mobilenetv3_v0_focal_dist', ) # {'corrupted': 0.7807788848876953, 'normal': 0.2192210853099823} ``` ## Note This model is trained on SD1.5 images, generated by 8 different base models. So the better solution for this problem is to use some metrics like artstyle embeddings, this model will be deprecated as soon as the artstyle embedding model for anime images is completed. ## Citation ``` @misc{Citation, title={AI-Corrupt Score for Anime Images}, author={narugo1992}, year={2023}, howpublished={\url{https://huggingface.co/deepghs/ai_image_corrupted}} } ```

Source context: 0 downloads · 0 likes · Pipeline image-classification · Library dghs-imgutils · Repo Library-Mutsumi/ai_image_corrupted