6269104
doi
10.5281/zenodo.6269104
oai:zenodo.org:6269104
user-computer-vision
Mohamed Abdelfattah
The American University in Cairo
Ziliang Zhu
Boston University
James Akl
Worcester Polytechnic Institute
Fadi Alladkani
Worcester Polytechnic Institute
Ping Hu
Boston University
Vitaly Ablavsky
University of Washington
Berk Calli
Worcester Polytechnic Institute
Sarah Adel Bargal
Boston University
Kate Saenko
Boston University and MIT-IBM Watson AI Lab
ZeroWaste Dataset: Towards Deformable Object Segmentation in Cluttered Scenes
Dina Bashkirova
Boston University
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
computer vision
recycling
segmentation
detection
<p>Less than 35% of recyclable waste is being actually recycled in the US, which leads to increased soil and sea pollution and is one of the major concerns of environmental researchers as well as the common public. At the heart of the problem are the inefficiencies of the waste sorting process (separating paper, plastic, metal, glass, etc.) due to the extremely complex and cluttered nature of the waste stream. Recyclable waste detection poses a unique computer vision challenge as it requires detection of highly deformable and often translucent objects in cluttered scenes without the kind of context information usually present in human-centric datasets. This challenging computer vision task currently lacks suitable datasets or methods in the available literature. In this paper, we take a step towards computer-aided waste detection and present the first in-the-wild industrial-grade waste detection and segmentation dataset, ZeroWaste. We believe that ZeroWaste will catalyze research in object detection and semantic segmentation in extreme clutter as well as applications in the recycling domain.</p>
<p>Our project page can be found at <a href="http://ai.bu.edu/zerowaste/">http://ai.bu.edu/zerowaste/</a>.</p>
Zenodo
2021-06-04
info:eu-repo/semantics/other
4899926
user-computer-vision
1.2.1
1655987278.119512
966339053
md5:10a38443fe43eedad4fecadbcbe86589
https://zenodo.org/records/6269104/files/zerowaste-s-parts.zip
2147483648
md5:5d77f6c40a1ab9f92d2d4a2d664cbbf7
https://zenodo.org/records/6269104/files/zerowaste-aug.z02
2147483648
md5:ee97ea4dccb6c027f39eda2d96f9f717
https://zenodo.org/records/6269104/files/zerowaste-aug.z03
2147483648
md5:3c6f88809adb0fcd362f4f6c59543639
https://zenodo.org/records/6269104/files/zerowaste-aug.z01
2136064392
md5:a00bfee46937135c314c944cfd3b70f8
https://zenodo.org/records/6269104/files/zerowaste-aug.zip
7489390465
md5:1c79def717335a098d99c8bf01c19abf
https://zenodo.org/records/6269104/files/zerowaste-f.zip
3267632268
md5:7c4d3f5c875a1f25e252b0d81f3b6c1b
https://zenodo.org/records/6269104/files/zerowaste-w.zip
3221225472
md5:7d39e260b7f6b4ee7a9b078c923176cc
https://zenodo.org/records/6269104/files/zerowaste-s-parts.z01
3221225472
md5:47065ff56e2eb895c78587636f0408d2
https://zenodo.org/records/6269104/files/zerowaste-s-parts.z02
3221225472
md5:d7287fd9dcbf9ade985e5d8fe3850800
https://zenodo.org/records/6269104/files/zerowaste-s-parts.z03
public
10.5281/zenodo.4899926
isVersionOf
doi