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RiSID: River Surface Image Dataset for Instance Segmentation of Floating Macroplastic Debris.

Tomoya Kataoka1,2, Takushi Yoshida3, Natsuki Yamamoto3

  • 1Department of Civil & Environmental Engineering, Ehime University, 3 Bunkyo-cho, Matsuyama, 790-8577, Japan.

Data in Brief
|November 10, 2025
PubMed
Summary

Researchers developed a new dataset of river images to track floating macroplastic debris. This technology aids in understanding plastic transport from land to oceans, crucial for marine ecosystem protection.

Keywords:
Floating macroplastic debrisInstance segmentationMS COCORiver surface

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Area of Science:

  • Environmental Science
  • Computer Vision
  • Data Science

Background:

  • Rivers are significant conduits for macroplastic debris, posing threats to marine ecosystems.
  • Accurate quantification of floating riverine macroplastics is vital for tracing land-based pollution sources.

Purpose of the Study:

  • To introduce the River Surface Image Dataset (RiSID) for macroplastic debris monitoring.
  • To facilitate the development of advanced computer vision models for detecting and quantifying floating riverine plastics.

Main Methods:

  • Collected 7,356 high-flow river surface images across 11 sites in Japan.
  • Generated pixelwise segmentation annotations for floating macroplastic debris in multiple categories.
  • Formatted annotations using the Microsoft Common Objects in Context (MS COCO) standard for deep learning applications.

Main Results:

  • The RiSID dataset provides comprehensive annotations for floating macroplastic debris.
  • The dataset is structured to enable exploration of various deep learning model performances for debris detection.
  • The data supports research into effective methods for monitoring riverine plastic pollution.

Conclusions:

  • RiSID is a valuable resource for advancing research in automated monitoring of floating macroplastic debris in rivers.
  • The dataset will aid in developing more accurate models for assessing plastic transport dynamics.
  • Improved monitoring technologies are essential for mitigating the impact of riverine plastics on marine environments.