CGIAR/aquatic-macroinvertebrate-images
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资源简介：
这是一个包含1300张水生宏昆虫图片的数据集，用于机器学习模型的开发，以自动评估水质分数。这些图片对应于13个水生宏昆虫小组的miniSASS评估系统，每组100张图片。数据集旨在提高水质生物监测技术miniSASS和SASS5的整体效果和可靠性。
This dataset consists of 1,300 images of aquatic macroinvertebrates, used for the development of machine learning models to automatically assess water quality scores. The images correspond to thirteen miniSASS aquatic macroinvertebrate groups, with one hundred images for each group. The dataset aims to enhance the overall effectiveness and reliability of the miniSASS and SASS5 biomonitoring techniques.
提供机构：
CGIAR
