Object Detection, Image Tagging, Facial Recognition

Version 1.0
HKUST Library - Digital Scholarship, 2025, "Object Detection, Image Tagging, Facial Recognition", https://doi.org/10.14711/dataset/M7JKCW, DataSpace@HKUST, V1
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Description
The Library has a site “HKUST Digital Images“, which serves as a valuable archive of the university’s history, comprising over 30,000 photos of the University’s early events from 1988 to the early 2000s with diverse scenes, including campus construction, teaching and learning activities, conferences and seminars, congregations, VIP visits, student life, and staff events.

This site, which developed a decade ago, relied on crowdsourcing for manual tagging and user-contributed comments to provide contextual information to each photo. This presentation slide that created in 2012 contains the details of the background and system design of this site at that time.

With the rapid advancement of artificial intelligence (AI), numerous models have emerged in recent years that can be utilized for performing tasks such as object detection, image tagging, and face recognition. Regarding this, we would like to explore the use of various computer vision models to generate more metadata for our photos, eliminating the reliance for manual tagging and commenting through crowdsourcing.
Subject Computer and Information Science; Social Sciences
Keyword Object Detection, Image Tagging, Facial Recognition
Related Publication Chan, Holly H.Y., & Lau, Jack M.K. (2025). Enhancing Contextualization in Archives Materials: AI-Powered Image Processing. World Library, 453. issn: 2287-9625
Notes Full Changelog: https://github.com/hkust-lib-ds/P002-PUBLIC_ObjectDetection-ImageTagging/commits/v1.0 Project page: https://library.hkust.edu.hk/ds/project/p002/
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Published May 27, 2025
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