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PUBLICATIONS

2022 OpenFAD Evaluation Plan (Open Fine-grained Activity Detection)

Published

Author(s)

Yooyoung Lee, Jonathan Fiscus, Lukas Diduch, Jeffery Byrne

Abstract

This document describes an evaluation of the 2022 Open Fine-grained Activity Detection (OpenFAD) challenge. The evaluation plan covers resources, task definitions, task conditions, file formats for system inputs and outputs, evaluation metrics, scoring procedures, and protocols for submitting results (see details at https://openfad.nist.gov)
Citation
OpenFAD
Pub Weblink
https://openfad.nist.gov
Pub Type
Websites

Download Paper

Local Download

Keywords

activity classification, activity detection, video analytics, evaluation
Video analytics and Artificial intelligence

Citation

Lee, Y. , Fiscus, J. , Diduch, L. and Byrne, J. (2023), 2022 OpenFAD Evaluation Plan (Open Fine-grained Activity Detection), OpenFAD, [online], https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=933966, https://openfad.nist.gov (Accessed October 6, 2025)

Issues

If you have any questions about this publication or are having problems accessing it, please contact [email protected].

Created October 2, 2023, Updated March 31, 2025
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