Measuring the appearance time slots of characters in videos is still an unsolved problem in computer vision, and the related dataset is insufficient and unextracted. The Character Face In Video (CFIV) dataset provides the labeled appearing time slots for characters of interest for ten video clips on Youtube, two faces per character for training, and a script for downloading each video. Additionally, three videos contain around 100 images per character for evaluating the accuracy of the face recognizer.

Dataset Files

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[1] Zilinghan Li, Xiwei Wang, Zhenning Zhang, Volodymyr Kindratenko, "Character Face in Video", IEEE Dataport, 2022. [Online]. Available: http://dx.doi.org/10.21227/q2pn-z054. Accessed: Dec. 11, 2023.
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doi = {10.21227/q2pn-z054},
url = {http://dx.doi.org/10.21227/q2pn-z054},
author = {Zilinghan Li; Xiwei Wang; Zhenning Zhang; Volodymyr Kindratenko },
publisher = {IEEE Dataport},
title = {Character Face in Video},
year = {2022} }
TY - DATA
T1 - Character Face in Video
AU - Zilinghan Li; Xiwei Wang; Zhenning Zhang; Volodymyr Kindratenko
PY - 2022
PB - IEEE Dataport
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Zilinghan Li, Xiwei Wang, Zhenning Zhang, Volodymyr Kindratenko. (2022). Character Face in Video. IEEE Dataport. http://dx.doi.org/10.21227/q2pn-z054
Zilinghan Li, Xiwei Wang, Zhenning Zhang, Volodymyr Kindratenko, 2022. Character Face in Video. Available at: http://dx.doi.org/10.21227/q2pn-z054.
Zilinghan Li, Xiwei Wang, Zhenning Zhang, Volodymyr Kindratenko. (2022). "Character Face in Video." Web.
1. Zilinghan Li, Xiwei Wang, Zhenning Zhang, Volodymyr Kindratenko. Character Face in Video [Internet]. IEEE Dataport; 2022. Available from : http://dx.doi.org/10.21227/q2pn-z054
Zilinghan Li, Xiwei Wang, Zhenning Zhang, Volodymyr Kindratenko. "Character Face in Video." doi: 10.21227/q2pn-z054