VisAlgae 2023: A Dataset and Challenge for Algae Detection in Microscopy Images
This work addresses the challenge of high-throughput microalgae detection for ecological and economic applications, but it is incremental as it builds on previous datasets and challenges.
The paper presents the VisAlgae 2023 Challenge, which tackled the problem of detecting microalgae in microscopy images by providing a dataset of 1000 images across six classes and attracting 369 teams, with top methods offering insights to improve detection accuracy.
Microalgae, vital for ecological balance and economic sectors, present challenges in detection due to their diverse sizes and conditions. This paper summarizes the second "Vision Meets Algae" (VisAlgae 2023) Challenge, aiming to enhance high-throughput microalgae cell detection. The challenge, which attracted 369 participating teams, includes a dataset of 1000 images across six classes, featuring microalgae of varying sizes and distinct features. Participants faced tasks such as detecting small targets, handling motion blur, and complex backgrounds. The top 10 methods, outlined here, offer insights into overcoming these challenges and maximizing detection accuracy. This intersection of algae research and computer vision offers promise for ecological understanding and technological advancement. The dataset can be accessed at: https://github.com/juntaoJianggavin/Visalgae2023/.