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TACO is an open image dataset for litter detection and segmentation, which is growing through crowdsourcing.
J. G. Derraik, “The pollution of the marine environment by plastic debris: a review,”
2002
Earlier work this paper cites.
M. Everingham, L. Van Gool, C. K. Williams, J. Winn, and A. Zisserman, “The pascal visual object classes (voc) challenge,”
2010
Earlier work this paper cites.
T.-Y. Lin, M. Maire, S. Belongie, J. Hays, P. Perona, D. Ramanan, P. Dollár, and C. L. Zitnick, “Microsoft coco: Common objects in context,” in
2014
Earlier work this paper cites.
S. C. Gall and R. C. Thompson, “The impact of debris on marine life,”
2015
Cited alongside, same era.
O. Awe, R. Mengistu, and V. Sreedhar, “Smart trash net: Waste localization and classification,” 2017
2017
Cited alongside, same era.
W. Abdulla, “Mask r-cnn for object detection and instance segmentation on keras and tensorflow.”
2017
Cited alongside, same era.
“Openlittermap.”
Cited in the paper.
S. Chiba, H. Saito, R. Fletcher, T. Yogi, M. Kayo, S. Miyagi, M. Ogido, and K. Fujikura, “Human footprint in the abyss: 30 year records of deep-sea plastic debris,”
2018
Later among the works it cites.
N. Maximenko, P. Corradi, K. L. Law, E. Van Sebille, S. P. Garaba, R. S. Lampitt, F. Galgani, V. Martinez-Vicente, L. Goddijn-Murphy, J. M. Veiga,
2019
Later among the works it cites.
Z. Huang, L. Huang, Y. Gong, C. Huang, and X. Wang, “Mask scoring r-cnn,” in
2019
Later among the works it cites.
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