ductai199x/video-std-manip

Video Standard Manipulation Dataset This dataset is a collection of simple and traditional localized video manipulations, such as: splicing, color correction, contrast enhancement, bluring, and noise addition. The dataset is designed to be used for training and evaluating video manipulation detection models. We used this dataset to train the VideoFACT model, which is a deep learning model that uses attention, scene context, and forensic traces to detect a wide variety of video… See the full description on the dataset page: https://huggingface.co/datasets/ductai199x/video-std-manip.

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