We’re happy to announce the second AI4Life Challenge, this time focused on supervised denoising of microscopy images, a key task in enhancing image quality for biomedical research.
Hosted on the Grand Challenge platform, we invite researchers, developers, and enthusiasts to develop solutions for image restoration using deep learning.
Participants will:
Access paired datasets of noisy and clean images.
Develop and submit models for data-driven, content-aware denoising.
Be evaluated against ground truth for quantitative performance.
Contribute their solutions to a core task in bioimage analysis.
Whether you’re a seasoned researcher or new to the field, this challenge is an opportunity to test and improve your models on real-world microscopy data, and support FAIR, open science while doing it.