A labeled data set of underwater images of fish and crab species from five mesohabitats in Puget Sound WA USA

Dara M. Farrell,Bridget Ferriss,Beth Sanderson,Karl Veggerby, Lauren Robinson,Anusua Trivedi, Shreyaan Pathak, Sreya Muppalla, Jane Wang,Dan Morris,Rahul Dodhia

Scientific Data(2023)

引用 0|浏览2
暂无评分
摘要
The sustainable management of fisheries and aquaculture requires an understanding of how these activities interact with natural fish populations. GoPro cameras were used to collect an underwater video data set on and around shellfish aquaculture farms in an estuary in the NE Pacific from June to August 2017 and June to August 2018 to better understand habitat use by the local fish and crab communities. Images extracted from these videos were labeled to produce a data set that is suitable for use in training computer vision models. The labeled data set contains 77,739 images sampled from the collected video; 67,990 objects (fishes and crustaceans) have been annotated in 30,384 images (the remainder have been annotated as “empty”). The metadata of the data set also indicates whether a physical magenta filter was used during video collection to counteract reduced visibility. These data have the potential to help researchers address system-level and in-depth regional shellfish aquaculture questions related to ecosystem services and shellfish aquaculture interactions.
更多
查看译文
关键词
crab species,underwater images,fish,puget sound underwater usa,mesohabitats
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要