BePLi Dataset v1: Beach Plastic Litter Dataset version 1 for instance segmentation of beach plastic litter

Data in Brief - Tập 48 - Trang 109176 - 2023
Mitsuko Hidaka1,2, Koshiro Murakami1, Kenta Koshidawa1, Shintaro Kawahara1, Daisuke Sugiyama1, Shin'ichiro Kako2,1, Daisuke Matsuoka1,2
1Research Institute for Value-Added-Information Generation (VAiG), Japan Agency for Marine-Earth Science and Technology (JAMSTEC), Kanagawa, Japan
2Graduate School of Science and Engineering, Kagoshima University, Kagoshima, Japan

Tài liệu tham khảo

Lin, 2014, Microsoft, COCO: common objects in context, CoRR Hidaka, 2022, Pixel-level image classification for detecting beach litter using a deep learning approach, Mar. Pollut. Bull., 175, 10.1016/j.marpolbul.2022.113371 Sugiyama, 2022, The BeachLitter dataset for image segmentation of beach litte, Data Brief, 42, 10.1016/j.dib.2022.108072 Non-profit Organization Partnership Office, A Guide to the Index Based Evaluation Method of Onshore Litter (Japanese and English) [PDF document]. https://npo-po.net/archives/1852 (Accessed 13 December 2022), 2004.
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Data in Brief

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109176

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