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"Prediction: Positive ==> True" #2

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liuzheng081 opened this issue Mar 5, 2019 · 4 comments
Closed

"Prediction: Positive ==> True" #2

liuzheng081 opened this issue Mar 5, 2019 · 4 comments

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@liuzheng081
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Hi,
i run the demo/compare-prediction.ipynb and i have no idea about
image
like "Prediction: Positive ==> True" it means the pic is authentic?
and "Prediction: Positive ==> False" it means the pic is tampering?

@thuyngch
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thuyngch commented Mar 5, 2019

Prediction: Positive ==> True" means: The model predicts image as Positive (the image is tampered) and the ground truth is also Positive. So the prediction is True.

Prediction: Positive ==> False" means: The model predicts image as Positive (the image is tampered) but the ground truth is Negative. So the prediction is False.

@liuzheng081
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Prediction: Positive ==> True" means: The model predicts image as Positive (the image is tampered) and the ground truth is also Positive. So the prediction is True.

Prediction: Positive ==> False" means: The model predicts image as Positive (the image is tampered) but the ground truth is Negative. So the prediction is False.

that means just use decision == 1 can know the image is tampered or not?

@thuyngch
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thuyngch commented Mar 5, 2019

(decision==1) ===> Positive ===> Tampered image
(decision==0) ===> Negative ===> Authentic image

@liuzheng081
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(decision==1) ===> Positive ===> Tampered image
(decision==0) ===> Negative ===> Authentic image

Thank you

@thuyngch thuyngch closed this as completed Mar 6, 2019
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