Inter-annotator Agreement

Inter-Annotator Agreement is a measurement metric used in image annotation that quantifies the degree of consensus among multiple human annotators in assigning labels to visual data, distinguishing itself from other evaluation metrics by focusing specifically on the reliability and consistency of annotations rather than model performance.

490

Publications

27.4K

Citations

1.8K

Authors

623

Institutions

Publications per year

2017–2026

195

Variants

Iaa

Authors

1.8K

  1. IG
    Iryna Gurevych

    Technische Universität Darmstadt, Germany

    9 publications · 502 citations

    10

    h-index

  2. MP
    Martha Palmer

    University of Colorado Boulder, United States

    7 publications · 510 citations

    7

    h-index

  3. LA
    Lora Aroyo

    Vrije Universiteit Amsterdam, Netherlands

    7 publications · 178 citations

    7

    h-index

  4. CW
    Chris Welty

    IBM (United States), United States

    5 publications · 97 citations

    5

    h-index

  5. JW
    Janyce Wiebe

    University of Pittsburgh, United States

    5 publications · 255 citations

    5

    h-index

1–5 of 1.8K

Venues

  1. arXiv (Cornell University)

    Repository · 20 publications · 540 citations

    13

    h-index

  2. Computational Linguistics

    10 publications · 2.2K citations

    11

    h-index

  3. Language Resources and Evaluation

    9 publications · 556 citations

    9

    h-index

  4. PubMed

    Repository · 9 publications · 440 citations

    9

    h-index

  5. Journal of the American Medical Informatics Association

    JAMIA · 8 publications · 490 citations

    9

    h-index

1–5