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

Authors

3.2K

  1. AD
    Alberto Del Bimbo

    University of Florence, Italy

    9 publications · 627 citations

    9

    h-index

  2. LB
    Lamberto Ballan

    University of Florence, Italy

    9 publications · 404 citations

    9

    h-index

  3. TC
    Tat‐Seng Chua

    National University of Singapore, Singapore

    8 publications · 351 citations

    8

    h-index

  4. LF
    Li Fei-Fei

    Stanford University, United States

    8 publications · 1.1K citations

    8

    h-index

  5. ML
    Mingjing Li

    Microsoft Research Asia (China), China

    7 publications · 586 citations

    7

    h-index

1–5 of 3.2K

Venues

  1. Bioinformatics

    24 publications · 1.7K citations

    19

    h-index

  2. arXiv (Cornell University)

    Repository · 19 publications · 1.4K citations

    17

    h-index

  3. Nucleic Acids Research

    18 publications · 10K citations

    17

    h-index

  4. Pattern Recognition

    14 publications · 973 citations

    13

    h-index

  5. BMC Bioinformatics

    14 publications · 603 citations

    13

    h-index

1–5