VisAlgae 2023: A Dataset and Challenge for Algae Detection in Microscopy Images
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Abstract (arXiv)
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/.
Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). Builds on 35 of its 47 references that are in the map. First posted on arXiv 27 May 2025.
Builds on
35 of 47 references.
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