The BeachLitter dataset for image segmentation of beach litter
This dataset consists of 3500 images of beach litter and 3500 corresponding pixel-wise labelled images. Although performing such pixel-by-pixel semantic masking is expensive, it allows us to build machine-learning models that can perform more sophisticated automated visual processing. We believe thi...
Main Authors: | Daisuke Sugiyama, Mitsuko Hidaka, Daisuke Matsuoka, Koshiro Murakami, Shin'ichiro Kako |
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Format: | Article |
Language: | English |
Published: |
Elsevier
2022-06-01
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Series: | Data in Brief |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2352340922002839 |
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