Automated Annotation
Automated Annotation is a methodological contribution in the field of image annotation that employs computational algorithms to systematically assign metadata or labels to visual data without direct human intervention.
786
Publications
65K
Citations
3.2K
Authors
1K
Institutions
Publications per year
2017–2026
229
Parents
786
LabelMe: A Database and Web-Based Tool for Image Annotation
Bryan Russell, Antonio Torralba, Kevin Murphy et al. · International Journal of Computer Vision · 2007 · 4.2K citations · Full text
dbCAN2: a meta server for automated carbohydrate-active enzyme annotation
Han Zhang, Tanner Yohe, Le Huang et al. · Nucleic Acids Research · 2018 · 2.5K citations · Full text
Labeling images with a computer game
Luis von Ahn, Laura Dabbish · 2004 · 2.2K citations
dbCAN: a web resource for automated carbohydrate-active enzyme annotation
Yanbin Yin, Xizeng Mao, Jincai Yang et al. · Nucleic Acids Research · 2012 · 1.9K citations · Full text
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Microsoft Research Asia (China)
Beijing, China
17 h-index
48 publications
5.1K citations
Stanford University
Stanford, United States
16 h-index
60 publications
5.3K citations
Carnegie Mellon University
Pittsburgh, United States
15 h-index
31 publications
6.4K citations

Chinese Academy of Sciences
Beijing, China
14 h-index
36 publications
1.8K citations

University of Edinburgh
Edinburgh, United Kingdom
13 h-index
23 publications
1.3K citations
University of California San Diego
San Diego, United States
13 h-index
36 publications
7.1K citations
National University of Singapore
Singapore, Singapore
12 h-index
37 publications
1.5K citations

University of Amsterdam
Amsterdam, The Netherlands
12 h-index
27 publications
2.7K citations
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24 publications · 1.7K citations
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Repository · 19 publications · 1.4K citations
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18 publications · 10K citations
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14 publications · 973 citations
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14 publications · 603 citations
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