In today’s digital world, image theft has become almost inevitable. You upload your photo to a social media platform, and soon you start seeing the image used by others. And this is a serious issue ...

Abstract: The more the advanced image making tools become accessible, the more image forgery is proliferated in hardware and software across all these domains – forensics, journalism, authentication, ...

In this project, I used Python and OpenCV to detect lane lines on the road. I developed a processing pipeline that works on a series of individual images, and applied the result to a video stream.

New AI image generator runs using 10 times fewer steps than today's best models — and it's coming to smartphones and laptops Researchers have developed an AI image generator that produces images in ...

This figure illustrates the general technical pipeline for AI-generated image detection. The process begins with feature extraction and the construction of detection evidence, followed by ...

Abstract: Digital image manipulation is a growing threat to authenticity in journalism, forensics and security. Traditional forgery detection methods can't keep up with advanced image tampering ...

This project implements a context-aware spam detection system using Python. Unlike naive filters, it does not assume unknown senders are scammers. Decisions are made using behavior-based scoring and ...

The AI tool will tell you what percentage of the image was created using AI As per Google, SynthID verification is valid for images generated using its proprietary AI tools and won't work with ...