Comments (2)
The prediction label is whether the image is tampered with or not (1 or 0, binary classification).
If I understand your explanation correctly, we don't predict a categorical ELA image.
We simply use ELA for our feature extraction purpose. After feature extraction, we use this ELA feature as input to the CNN which will predict whether the image is tampered with or not.
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Got it. Thanks so much for the explanation.
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Related Issues (15)
- How to get the datasets? HOT 22
- File not found error
- dataset HOT 4
- dataset HOT 1
- Can be in a directory structure, rather than Jupyter Notebook HOT 2
- DataSet Issue HOT 2
- using the dataset HOT 6
- regarding dataset HOT 13
- Execution HOT 4
- how to download the dataset?
- Where can i get dataset HOT 1
- Error while converting images into ELA images HOT 1
- pre-trained model HOT 1
- Could you share the dataset? HOT 1
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