Upload CNN transfer artifacts (model + preprocess + config)
Browse files- README.md +1 -1
- config.json +2 -2
- model.pth +1 -1
README.md
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@@ -20,4 +20,4 @@ Binary image classifier for deepfake or AI-generated image detection.
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## Output
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- prob_fake in [0, 1] computed as softmax(logits)[fake]
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- decision threshold: 0.
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## Output
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- prob_fake in [0, 1] computed as softmax(logits)[fake]
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- decision threshold: 0.038
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config.json
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"framework": "pytorch",
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"arch": "efficientnet_b0",
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"num_classes": 2,
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"threshold": 0.
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"labels": {
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"0": "real",
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"1": "fake"
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},
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"exported_at_utc": "2026-
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"notes": "CNN transfer baseline for deepfake detection. prob_fake = softmax(logits)[fake]."
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}
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"framework": "pytorch",
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"arch": "efficientnet_b0",
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"num_classes": 2,
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"threshold": 0.038,
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"labels": {
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"0": "real",
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"1": "fake"
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},
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"exported_at_utc": "2026-03-04T22:47:32.143061Z",
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"notes": "CNN transfer baseline for deepfake detection. prob_fake = softmax(logits)[fake]."
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}
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model.pth
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size 16320083
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version https://git-lfs.github.com/spec/v1
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oid sha256:db39830a89e2d4169933b3674ea635d98cd6a6bc712d919b723de6382f1b8338
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size 16320083
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