ARC Synthetic Riverine Waste
OPEN ACCESS
Loading...
Author / Producer
Date
2024-09-27
Publication Type
Dataset
ETH Bibliography
yes
Citations
Altmetric
OPEN ACCESS
Data
Rights / License
Abstract
The Autonomous River Cleanup (ARC), led by students at the Robotic Systems Lab, aims to tackle waste pollution in rivers using robotics and machine learning. The team consists mainly of volunteers and students, with guidance from experienced researchers, and focuses on waste analysis and sorting.
This dataset results from a synthetic waste generation pipeline developed by Xenia Voellmy and Dario Strübin as part of their Master's thesis at ARC. Real waste items were digitized in 3D, then deformed and textured using Blender to simulate the variations commonly found in riverine waste.
A set of RGB images, depth images, and segmentation masks are provided containing multiple synthetic waste items on randomized backgrounds with item-wise annotations in the coco format.
Permanent link
Publication status
External links
Editor
Book title
Journal / series
Volume
Pages / Article No.
Publisher
ETH Zurich
Event
Edition / version
Methods
Software
Geographic location
Date collected
Date created
Subject
Organisational unit
09570 - Hutter, Marco / Hutter, Marco