The CSIRO Crown-of-Thorn Starfish Detection Dataset
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Abstract (arXiv)
Crown-of-Thorn Starfish (COTS) outbreaks are a major cause of coral loss on the Great Barrier Reef (GBR) and substantial surveillance and control programs are underway in an attempt to manage COTS populations to ecologically sustainable levels. We release a large-scale, annotated underwater image dataset from a COTS outbreak area on the GBR, to encourage research on Machine Learning and AI-driven technologies to improve the detection, monitoring, and management of COTS populations at reef scale. The dataset is released and hosted in a Kaggle competition that challenges the international Machine Learning community with the task of COTS detection from these underwater images.
Key facts. Cited by 4 papers in the map (data through 14 Oct 2026). Builds on 0 of its 1 references that are in the map. First posted on arXiv 29 Nov 2021.
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Citing papers per year: 2022: 3; 2023: 0; 2024: 0; 2025: 1.
4 papers.
- 2025The Coralscapes Dataset: Semantic Scene Understanding in Coral Reefscited by 9
- 2022What's in the Black Box? The False Negative Mechanisms Inside Object Detectorscited by 7
- 2022UTD-Yolov5: A Real-time Underwater Targets Detection Method based on Attention Improved YOLOv5cited by 2
- 2022A Real-time Edge-AI System for Reef Surveyscited by 2
- 2025The Coralscapes Dataset: Semantic Scene Understanding in Coral Reefs25 Mar 2025
- 2022A Real-time Edge-AI System for Reef Surveys1 Aug 2022
- 2022UTD-Yolov5: A Real-time Underwater Targets Detection Method based on Attention Improved YOLOv52 Jul 2022
- 2022What's in the Black Box? The False Negative Mechanisms Inside Object Detectors15 Mar 2022