shraddhavijay/IFAKE
IFAKE is an application for detecting image and video forgery, designed to help users verify the authenticity of digital media. This repository also contains the AI model and dataset that we developed for image tampering detection, providing an effective solution for detecting image and video manipulations.
This application helps you verify the authenticity of digital images and videos. You upload a media file, and it tells you if it has been tampered with or forged. This is ideal for forensic analysts, journalists, or anyone needing to confirm the integrity of visual evidence.
No commits in the last 6 months.
Use this if you need to quickly and reliably determine whether an image or video has been digitally manipulated.
Not ideal if you require advanced forensic analysis beyond forgery detection, such as identifying the specific tools or methods used for manipulation.
Stars
38
Forks
8
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Apr 24, 2023
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/computer-vision/shraddhavijay/IFAKE"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
yannadani/image_tampering_detection_references
A list of papers, codes and other interesting collections pertaining to image tampering...
ControlNet/LAV-DF
[CVIU, DICTA Award] Glitch in the Matrix: A Large Scale Benchmark for Content Driven...
Megum1/CO-SPY
[CVPR'25] CO-SPY: Combining Semantic and Pixel Features to Detect Synthetic Images by AI
lintsinghua/VerifyVision-Pro
VerifyVision-Pro是一个全面的图像伪造篡改检测解决方案，利用深度学习（deep...
Junjue-Wang/Rank1-Ali-Tianchi-Real-World-Image-Forgery-Localization-Challenge
2022阿里天池真实场景篡改图像检测挑战赛-冠军方案（1/1149）