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...
Saved in:
| Main Author: | |
|---|---|
| Other Authors: | , , |
| Published: |
2024
|
| Subjects: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1864513554968739840 |
|---|---|
| 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 |