Image Classification Labels

Image Classification Labels is a formal annotation scheme that assigns a single categorical tag to an entire image, distinguishing it from other annotation types by representing the global semantic content rather than localized or fine-grained visual attributes.

101

Publications

7.8K

Citations

426

Authors

189

Institutions

Publications per year

2017–2026

80

Variants

Image-level Labels

Authors

426

  1. SK
    Suha Kwak

    Pohang University of Science and Technology, South Korea

    4 publications · 869 citations

    4

    h-index

  2. XL
    Xiaoyan Li

    University of Chinese Academy of Sciences, China

    3 publications · 213 citations

    3

    h-index

  3. SK
    Sina Kafiabadi

    King's College London, United Kingdom

    3 publications · 97 citations

    3

    h-index

  4. AA
    Aisha Al Busaidi

    Wrightington, Wigan and Leigh NHS Foundation Trust, United Kingdom

    3 publications · 97 citations

    3

    h-index

  5. DW
    David Wood

    IBM (United States), United States

    3 publications · 97 citations

    3

    h-index

1–5 of 426

Venues

  1. arXiv (Cornell University)

    Repository · 14 publications · 619 citations

    13

    h-index

  2. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 3 publications · 242 citations

    3

    h-index

  3. 3

    h-index

  4. IEEE Transactions on Medical Imaging

    3 publications · 161 citations

    3

    h-index

  5. IEEE Access

    3 publications · 121 citations

    3

    h-index

1–5