FIDAC- Forged Images Detection And Classification
This dataset consists of 2 types of images i.e Authentic and Tampered. There are a total of 1,389 Authentic images and 597 Tampered images. Authentic images are camera clicked images in raw form & tampered images are the one being edited by Adobe Photoshop and few mobile applications. Different types of forgery techniques like copy-move, splicing, color enhancement, resizing etc have been applied on the tampered images.
The main motive of this dataset is to optimize the AI/ML based fake image identification model. Thus, this dataset is used for the R&D of fake image classification.
The dataset consists of a total of 1986 images in *.png, *.jpg, *.jpeg files formats.
The dataset requires a space of 5 GB.
The dataset consists of two folders namely Authentic_Images & Tampered_Images.