CCIP - COTS Control Innovation Project - D04 Project Field Data

Field data collected under the GBR Foundation CCIP Project D-04: The COTS Surveillance System (CSS): end-to-end technology for detection of reef pests using the ReefScan-Deep towed imaging platform. Data consists of geo-referenced images from a towed imaging platform from around the perimeter of sets of reefs along the GBR looking for images of COTS and Scars.Most images were collected by AIMS staff going on COT Control trips with the Control Teams for a range of field trips. Images are used to train ML models of COTS, Scars and Benthic life forms.

本数据集采集自大堡礁基金会（Great Barrier Reef Foundation）CCIP项目D-04：商用现货（Commercial Off-The-Shelf，COTS）监视系统（CSS）——基于ReefScan-Deep拖曳成像平台的珊瑚礁害虫端到端检测技术。数据集包含来自拖曳成像平台的地理参考影像，采集自大堡礁（Great Barrier Reef，GBR）沿线多组礁体的周边区域，旨在检索棘冠海星（Crown-of-Thorns Starfish，COTS）及其啃食痕迹（Scars）的影像。绝大多数影像由澳大利亚海洋科学研究所（Australian Institute of Marine Science，AIMS）的工作人员随棘冠海星防控团队开展多批次野外考察作业时采集获得。所采集的影像将用于训练棘冠海星、啃食痕迹及底栖生物的机器学习（Machine Learning，ML）模型。