Bias-aware face mask detection dataset

<div><p>In December 2019, a novel coronavirus (COVID-19) spread so quickly around the world that many countries had to set mandatory face mask rules in public areas to reduce the transmission of the virus. To monitor public adherence, researchers aimed to rapidly develop efficient system...

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Main Author: Alperen Kantarcı (20151456) (author)
Other Authors: Ferda Ofli (8983517) (author), Muhammad Imran (282621) (author), Hazım Kemal Ekenel (8507805) (author)
Published: 2024
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author Alperen Kantarcı (20151456)
author2 Ferda Ofli (8983517)
Muhammad Imran (282621)
Hazım Kemal Ekenel (8507805)
author2_role author
author
author
author_facet Alperen Kantarcı (20151456)
Ferda Ofli (8983517)
Muhammad Imran (282621)
Hazım Kemal Ekenel (8507805)
author_role author
dc.creator.none.fl_str_mv Alperen Kantarcı (20151456)
Ferda Ofli (8983517)
Muhammad Imran (282621)
Hazım Kemal Ekenel (8507805)
dc.date.none.fl_str_mv 2024-10-02T03:00:00Z
dc.identifier.none.fl_str_mv 10.1007/s11042-024-20226-7
dc.relation.none.fl_str_mv https://figshare.com/articles/journal_contribution/Bias-aware_face_mask_detection_dataset/27643113
dc.rights.none.fl_str_mv CC BY 4.0
info:eu-repo/semantics/openAccess
dc.subject.none.fl_str_mv Information and computing sciences
Artificial intelligence
Machine learning
Face mask detection
Bias
Social media
Dataset
Computer vision
Deep learning
dc.title.none.fl_str_mv Bias-aware face mask detection dataset
dc.type.none.fl_str_mv Text
Journal contribution
info:eu-repo/semantics/publishedVersion
text
contribution to journal
description <div><p>In December 2019, a novel coronavirus (COVID-19) spread so quickly around the world that many countries had to set mandatory face mask rules in public areas to reduce the transmission of the virus. To monitor public adherence, researchers aimed to rapidly develop efficient systems that can detect faces with masks automatically. However, the lack of representative and novel datasets posed challenges for training efficient models. Early attempts to collect face mask datasets did not account for potential race, gender, and age biases. Therefore, the resulting models show inherent biases toward specific race groups, such as Asian or Caucasian. In this work, we present a novel face mask detection dataset that contains images posted on Twitter during the pandemic from around the world. Unlike previous datasets, the proposed Bias-Aware Face Mask Detection (BAFMD) dataset contains more images from underrepresented races and age groups to mitigate the problem of the face mask detection task. We perform experiments to investigate potential biases in widely used face mask detection datasets and illustrate that the BAFMD dataset yields models with better performance and generalization ability. The dataset is publicly available at https://github.com/Alpkant/BAFMD.</p><p> </p></div><h2>Other Information</h2> <p> Published in: Multimedia Tools and Applications<br> License: <a href="https://creativecommons.org/licenses/by/4.0" target="_blank">https://creativecommons.org/licenses/by/4.0</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1007/s11042-024-20226-7" target="_blank">https://dx.doi.org/10.1007/s11042-024-20226-7</a></p>
eu_rights_str_mv openAccess
id Manara2_1ab4789eb7d48bc8b14f748579702a6d
identifier_str_mv 10.1007/s11042-024-20226-7
network_acronym_str Manara2
network_name_str Manara2
oai_identifier_str oai:figshare.com:article/27643113
publishDate 2024
repository.mail.fl_str_mv
repository.name.fl_str_mv
repository_id_str
rights_invalid_str_mv CC BY 4.0
spelling Bias-aware face mask detection datasetAlperen Kantarcı (20151456)Ferda Ofli (8983517)Muhammad Imran (282621)Hazım Kemal Ekenel (8507805)Information and computing sciencesArtificial intelligenceMachine learningFace mask detectionBiasSocial mediaDatasetComputer visionDeep learning<div><p>In December 2019, a novel coronavirus (COVID-19) spread so quickly around the world that many countries had to set mandatory face mask rules in public areas to reduce the transmission of the virus. To monitor public adherence, researchers aimed to rapidly develop efficient systems that can detect faces with masks automatically. However, the lack of representative and novel datasets posed challenges for training efficient models. Early attempts to collect face mask datasets did not account for potential race, gender, and age biases. Therefore, the resulting models show inherent biases toward specific race groups, such as Asian or Caucasian. In this work, we present a novel face mask detection dataset that contains images posted on Twitter during the pandemic from around the world. Unlike previous datasets, the proposed Bias-Aware Face Mask Detection (BAFMD) dataset contains more images from underrepresented races and age groups to mitigate the problem of the face mask detection task. We perform experiments to investigate potential biases in widely used face mask detection datasets and illustrate that the BAFMD dataset yields models with better performance and generalization ability. The dataset is publicly available at https://github.com/Alpkant/BAFMD.</p><p> </p></div><h2>Other Information</h2> <p> Published in: Multimedia Tools and Applications<br> License: <a href="https://creativecommons.org/licenses/by/4.0" target="_blank">https://creativecommons.org/licenses/by/4.0</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1007/s11042-024-20226-7" target="_blank">https://dx.doi.org/10.1007/s11042-024-20226-7</a></p>2024-10-02T03:00:00ZTextJournal contributioninfo:eu-repo/semantics/publishedVersiontextcontribution to journal10.1007/s11042-024-20226-7https://figshare.com/articles/journal_contribution/Bias-aware_face_mask_detection_dataset/27643113CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/276431132024-10-02T03:00:00Z
spellingShingle Bias-aware face mask detection dataset
Alperen Kantarcı (20151456)
Information and computing sciences
Artificial intelligence
Machine learning
Face mask detection
Bias
Social media
Dataset
Computer vision
Deep learning
status_str publishedVersion
title Bias-aware face mask detection dataset
title_full Bias-aware face mask detection dataset
title_fullStr Bias-aware face mask detection dataset
title_full_unstemmed Bias-aware face mask detection dataset
title_short Bias-aware face mask detection dataset
title_sort Bias-aware face mask detection dataset
topic Information and computing sciences
Artificial intelligence
Machine learning
Face mask detection
Bias
Social media
Dataset
Computer vision
Deep learning