shanface33 / autosplice_dataset Goto Github PK

Many thanks for this interesting work and the sharing of the dataset to the public!

I am just wondering how you separate the images in the dataset into training and test sets when you fine-tuned the models as described in your paper?

Specifically, I have two questions:

1. When talking about "no overlapping between the two (training and testing) sets", did you ensure that, for example, when an authentic image like 39406.jpg is chosen to be in the training set, its corresponding forged image like 39406_0.jpg is only chosen to be in the training set but not in the testing set? That is to say, images from the same original source only appear in the identical set.
2. The numbers of authentic images and forged images (let me take Forged_JPEG100 as an example) are not the same. In addition, one authentic image (e.g., 39406.jpg) may have multiple forged versions (e.g., 39406_0.jpg and 39406_1.jpg). How did you handle these imbalance cases when building the training and test sets?

Thank you in advance and I look forward to your reply!

Hi!

Can you share the data link?