TITLE: The CSIRO Crown-of-Thorn Starfish Detection Dataset 

ABSTRACT: 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.
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.
The CSIRO Crown-of-Thorn Starfish Detection Dataset
http://arxiv.org/abs/2111.14311v1