article Open AccessTop 1% cited
YFCC100M
Communications of the ACM · 2016 · Vol. 59(2) · pp. 64–73
Bart Thomée✉(Yahoo (United States))David A. Shamma(Yahoo (United States))Gerald Friedland(International Computer Science Institute)Benjamin Elizalde(International Computer Science Institute)Karl Ni(Lawrence Livermore National Laboratory)Douglas N. Poland(Lawrence Livermore National Laboratory)Damian Borth(International Computer Science Institute)Li-Jia Li(Yahoo (United States))
Abstract
This publicly available curated dataset of almost 100 million photos and videos is free and legal for all.
Funding
- National Science Foundation
- U.S. Department of Energy
- Lawrence Livermore National Laboratory
Citations
1,513
FWCI
59.97
field-weighted impact
References
19
Percentile
100%
vs. same field & year
Citations per year
Cited by
Image Matching from Handcrafted to Deep Features: A Survey
International Journal of Computer Vision · 2020 · 941 citations
Visual Genome: Connecting Language and Vision Using Crowdsourced Dense Image Annotations
International Journal of Computer Vision · 2017 · 5,085 citations
A Survey on Deep Learning
ACM Computing Surveys · 2018 · 1,342 citations
References
Photo tourism
ACM Transactions on Graphics · 2006 · 2,804 citations
ImageNet classification with deep convolutional neural networks
Communications of the ACM · 2017 · 75,550 citations
Citation Network
How this paper connects to the literature. Drag to explore, click any node to open that paper.
