Image Tampering Detection Expert Needed
Budget: $250 – $750 USD
AI/ML Expert Needed for Forensic Image Tampering Detection
Hello,
I am currently working on forensic image analysis, specifically focused on detecting tampering or manipulation in images. My primary goal is to create a robust detection system capable of identifying various tampering techniques, including:
- Copy-move tampering
- Computer-generated alterations
- AI-generated content
I have been using the CATNET model from this repository: https://github.com/mjkwon2021/CAT-Net. While it performs well in some cases, it struggles with lower-quality images, even when tampering is visually noticeable. Despite experimenting with threshold values and optimizing the repository code, the desired results remain elusive.
You can find the reference images I am working with here: https://drive.google.com/drive/folders/10b2MeiZE5Hh1N9v-mcJzcAXA_xd6kHUG?usp=sharing. The image names include "T" to indicate tampered images, and the model currently accepts arbitrary images for processing.
Project Requirements:
- Image Types: Digital photographs, scanned documents, and social media images.
- Expertise: Proficiency in AI/ML with a strong focus on image processing and tampering detection.
- Techniques: Capability to handle and detect various tampering methods.
Ideal Candidate Should Have:
- Proven experience in image tampering detection.
- Deep understanding of AI/ML techniques and image manipulation methods.
- Ability to optimize or suggest alternative models for improved performance.
- Flexibility to work with different image formats and qualities.
I am open to exploring alternative models or methods if they deliver better results. This is a priority project, and I am willing to offer compensation upon achieving the desired outcomes.
Your expertise will play a vital role in addressing the challenges of image tampering detection in today's digital world.
Thank you!
Hello,
I am currently working on forensic image analysis, specifically focused on detecting tampering or manipulation in images. My primary goal is to create a robust detection system capable of identifying various tampering techniques, including:
- Copy-move tampering
- Computer-generated alterations
- AI-generated content
I have been using the CATNET model from this repository: https://github.com/mjkwon2021/CAT-Net. While it performs well in some cases, it struggles with lower-quality images, even when tampering is visually noticeable. Despite experimenting with threshold values and optimizing the repository code, the desired results remain elusive.
You can find the reference images I am working with here: https://drive.google.com/drive/folders/10b2MeiZE5Hh1N9v-mcJzcAXA_xd6kHUG?usp=sharing. The image names include "T" to indicate tampered images, and the model currently accepts arbitrary images for processing.
Project Requirements:
- Image Types: Digital photographs, scanned documents, and social media images.
- Expertise: Proficiency in AI/ML with a strong focus on image processing and tampering detection.
- Techniques: Capability to handle and detect various tampering methods.
Ideal Candidate Should Have:
- Proven experience in image tampering detection.
- Deep understanding of AI/ML techniques and image manipulation methods.
- Ability to optimize or suggest alternative models for improved performance.
- Flexibility to work with different image formats and qualities.
I am open to exploring alternative models or methods if they deliver better results. This is a priority project, and I am willing to offer compensation upon achieving the desired outcomes.
Your expertise will play a vital role in addressing the challenges of image tampering detection in today's digital world.
Thank you!