Migrasi otomatis

README.md

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+---
+license: mit
+datasets:
+- deepghs/anime_ai_check
+metrics:
+- accuracy
+pipeline_tag: image-classification
+tags:
+- art
+---
+
+The model used to predict whether an image is generated by AI techniques, mainly diffusion models. Please note that this model is trained on crawled data, and **its predictions should be used for reference purposes only**. It should not be used to determine the source or origin of an image.
+
+|         Model         |  FLOPs | Accuracy |                                                   Confusion Matrix                                                   | Description                                                         |
+|:---------------------:|:------:|:--------:|:--------------------------------------------------------------------------------------------------------------------:|---------------------------------------------------------------------|
+| caformer_s36_plus_sce | 22.10G |  97.54%  | [Confusion Matrix](https://huggingface.co/deepghs/anime_ai_check/blob/main/caformer_s36_plus_sce/plot_confusion.png) | Model: caformer_s36.sail_in22k_ft_in1k_384 pratrained from timm     |
+|    mobilenetv3_sce    |  0.63G |  93.20%  |    [Confusion Matrix](https://huggingface.co/deepghs/anime_ai_check/blob/main/mobilenetv3_sce/plot_confusion.png)    | Model: mobilenetv3_large_100 from timm                              |
+|  mobilenetv3_sce_dist |  0.63G |  95.65%  |  [Confusion Matrix](https://huggingface.co/deepghs/anime_ai_check/blob/main/mobilenetv3_sce_dist/plot_confusion.png) | Distillated from caformer_s36_plus_sce, using mobilenetv3_large_100 |

caformer_s36_plus_sce/meta.json

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+{
+    "drop_path_rate": 0.4,
+    "labels": [
+        "ai",
+        "human"
+    ],
+    "name": "caformer_s36.sail_in22k_ft_in1k_384",
+    "pretrained": true
+}

caformer_s36_plus_sce/metrics.json

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+{
+    "AUC": 0.9873855979080761,
+    "accuracy": 0.9754385964912281,
+    "loss": 0.25407937819952564,
+    "mAP": 0.9871511707341074,
+    "step": 21
+}

caformer_s36_plus_sce/model.ckpt

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caformer_s36_plus_sce/model.onnx

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caformer_s36_sce_v1/meta.json

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+{
+    "drop_path_rate": 0.4,
+    "labels": [
+        "ai",
+        "human"
+    ],
+    "name": "caformer_s36.sail_in22k_ft_in1k_384",
+    "pretrained": true
+}

caformer_s36_sce_v1/metrics.json

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+{
+    "AUC": 0.9909439909256175,
+    "accuracy": 0.9610443431413178,
+    "loss": 0.3885019321138965,
+    "mAP": 0.9910901017282925,
+    "step": 40
+}

caformer_s36_sce_v1/model.ckpt

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caformer_s36_sce_v1/model.onnx

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mobilenetv3_sce/meta.json

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+{
+    "labels": [
+        "ai",
+        "human"
+    ],
+    "name": "mobilenetv3_large_100.miil_in21k_ft_in1k",
+    "pretrained": true
+}

mobilenetv3_sce/metrics.json

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+{
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+    "accuracy": 0.9319298245614035,
+    "loss": 0.7638901418277844,
+    "mAP": 0.9697108619511428,
+    "step": 17
+}

mobilenetv3_sce/model.ckpt

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mobilenetv3_sce/model.onnx

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mobilenetv3_sce_dist/meta.json

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+{
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+        "ai",
+        "human"
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+    "name": "mobilenetv3_large_100",
+    "pretrained": true
+}

mobilenetv3_sce_dist/metrics.json

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+{
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+    "accuracy": 0.9564912280701754,
+    "cls_loss": 0.4791290839545821,
+    "mAP": 0.985848883761399,
+    "step": 21
+}

mobilenetv3_sce_dist/model.ckpt

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mobilenetv3_sce_dist/model.onnx

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mobilenetv3_sce_dist_v1/meta.json

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+        "human"
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+    "name": "mobilenetv3_large_100",
+    "pretrained": true
+}

mobilenetv3_sce_dist_v1/metrics.json

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+    "cls_loss": 0.37494325319342114,
+    "mAP": 0.990459750684058,
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+}

mobilenetv3_sce_dist_v1/model.ckpt

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mobilenetv3_sce_dist_v1/model.onnx

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