BePLi Dataset v1: Beach Plastic Litter Dataset version 1

The BePLi Dataset v1 (Beach Plastic Litter Dataset version 1) comprised 3708 original images taken in various coastal environments and the corresponding instance-based and pixel-level annotations for all plastic litter objects in the images are compiled in MSCOCO (Microsoft Common Objects in Context) Object Detection Task format. The format is partially intendedly modified from the original MSCOCO format.

The BePLi Dataset v1 (Beach Plastic Litter Dataset version 1) comprised 3708 original images taken in various coastal environments and the corresponding instance-based and pixel-level annotations for all plastic litter objects in the images are compiled in MSCOCO (Microsoft Common Objects in Context) Object Detection Task format. The format is partially intendedly modified from the original MSCOCO format.

Disciplines

Environment

Keywords

Coastal litter, Marine plastics, AI, Deep learning, Object detection, Instance Segmentation, Beach monitoring

Location

39.12138N, 38.551481S, 139.866414E, 139.541422W

Devices

The original images were captured using standard consumer digital cameras.

Data

FileSizeFormatProcessingAccess
98753.zip
8 GoPNG, JSONProcessed data
How to cite
Mitsuko Hidaka, Koshiro Murakami, Kenta Koshidawa, Shintaro Kawahara, Daisuke Sugiyama, Shin’ichiro Kako, Daisuke Matsuoka (2023). BePLi Dataset v1: Beach Plastic Litter Dataset version 1. SEANOE. https://doi.org/10.17882/92297

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