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README.md
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- recall
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- f1
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model-index:
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results:
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- task:
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name: Image Classification
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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#
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This model is a fine-tuned version of [microsoft/swin-tiny-patch4-window7-224](https://huggingface.co/microsoft/swin-tiny-patch4-window7-224) on the imagefolder dataset.
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It achieves the following results on the evaluation set:
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## Model description
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## Intended uses & limitations
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## Training and evaluation data
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## Training procedure
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- recall
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- f1
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model-index:
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- name: FaceAIorNot
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results:
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- task:
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name: Image Classification
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# FaceAIorNot
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Face AI or Not
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This model is a fine-tuned version of [microsoft/swin-tiny-patch4-window7-224](https://huggingface.co/microsoft/swin-tiny-patch4-window7-224) on the imagefolder dataset.
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It achieves the following results on the evaluation set:
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## Model description
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Two classes: AI-generated, Not AI-generated
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## Intended uses & limitations
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Classify an face image if is generated by AI.
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The classify result may not is 100% right.
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## Training and evaluation data
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Finetune in 105,330 face images.
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17 datasets.
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14 AI Image Generation Techniques.
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50% real faces and 50% AI-generated faces.
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Data set cut into 90% Train set, 10% Test set(evaluation set).
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## Training procedure
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