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FIDAC- Forged Images Detection And Classification
- Citation Author(s):
- Submitted by:
- Shraddha Pawar
- Last updated:
- Wed, 10/23/2024 - 13:33
- DOI:
- 10.21227/4det-6512
- Data Format:
- License:
2902 Views- Categories:
- Keywords:
Abstract
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.
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The dataset consists of a total of 1986 images in *.png, *.jpg, *.jpeg files formats.
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The dataset requires a space of 5 GB.
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The dataset consists of two folders namely Authentic_Images & Tampered_Images.
Documentation
| Attachment | Size |
|---|---|
 FIDAC.txt | 971 bytes |
Comments
Need Dataset For Final Year Project
Please drop a private message or mail on shraddha.pawar@sakec.ac.in, for getting an access to the dataset.
Also, do checkout our research paper using the link below:
https://ieeexplore.ieee.org/document/9862034