CSIRO Crown-of-Thorn Starfish Detection Dataset
收藏arXiv2021-11-29 更新2024-06-21 收录
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https://www.kaggle.com/c/tensorflow-great-barrier-reef
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资源简介:
CSIRO Crown-of-Thorn Starfish Detection Dataset是由澳大利亚联邦科学与工业研究组织创建的大型水下图像数据集,旨在通过机器学习和AI技术提高珊瑚礁生态系统的监测和管理效率。该数据集包含超过35000张图像,记录了珊瑚礁区域中刺冠海星的爆发情况,数据来源于澳大利亚大堡礁的实际监测。数据收集过程中使用了GoPro Hero9相机,通过Manta Tow方法进行,确保了数据的高分辨率和真实性。该数据集主要用于研究和开发能够准确、及时识别刺冠海星的算法,以支持生态可持续的珊瑚礁管理策略。
The CSIRO Crown-of-Thorn Starfish Detection Dataset is a large-scale underwater image dataset developed by the Commonwealth Scientific and Industrial Research Organisation (CSIRO) of Australia, aiming to improve the efficiency of coral reef ecosystem monitoring and management via machine learning and AI technologies. This dataset contains over 35,000 images that record outbreak events of Crown-of-Thorn Starfish in coral reef areas, with data sourced from in-situ monitoring conducted at the Australian Great Barrier Reef. During data collection, GoPro Hero9 cameras were used, and the Manta Tow method was adopted to ensure high resolution and authenticity of the data. This dataset is primarily intended for research and development of algorithms that can accurately and timely identify Crown-of-Thorn Starfish, so as to support ecologically sustainable coral reef management strategies.
提供机构:
澳大利亚联邦科学与工业研究组织
创建时间:
2021-11-29



