Improved face mask detection with super-resolution techniques
Super-Resolution is the process of reconstructing a low resolution image into a high resolution image. In recent years, many deep learning based techniques have surfaced and as a result, super-resolution has become a competitive field spurring the proposal of many state-of-the-art models. Super-Reso...
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| Format: | Final Year Project (FYP) |
| Language: | English |
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Nanyang Technological University
2021
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| Online Access: | https://hdl.handle.net/10356/147942 |
| _version_ | 1811680702347870208 |
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| author | Suresh, Prem Adithya |
| author2 | Qian Kemao |
| author_facet | Qian Kemao Suresh, Prem Adithya |
| author_sort | Suresh, Prem Adithya |
| collection | NTU |
| description | Super-Resolution is the process of reconstructing a low resolution image into a high resolution image. In recent years, many deep learning based techniques have surfaced and as a result, super-resolution has become a competitive field spurring the proposal of many state-of-the-art models. Super-Resolution can potentially have many applications and one such application, which is especially relevant during this COVID-19 pandemic, is face mask detection. Face mask detection has been implemented rapidly around the world since the start of the pandemic and this project shows that super-resolution techniques help improve the accuracy of face mask detection. Three models which are SSD based models enhanced with the addition super-resolution layers are pitted against the baseline model without super-resolution layers present. All models were trained, validated and tested on a dataset containing 14,016 images of masked and unmasked faces. All of the proposed models beat the baseline model’s mean average precision (mAP) of 76.73% where the best mAP achieved was 80.69%. |
| first_indexed | 2024-10-01T03:29:15Z |
| format | Final Year Project (FYP) |
| id | ntu-10356/147942 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T03:29:15Z |
| publishDate | 2021 |
| publisher | Nanyang Technological University |
| record_format | dspace |
| spelling | ntu-10356/1479422021-04-16T07:56:27Z Improved face mask detection with super-resolution techniques Suresh, Prem Adithya Qian Kemao School of Computer Science and Engineering MKMQian@ntu.edu.sg Engineering::Computer science and engineering Super-Resolution is the process of reconstructing a low resolution image into a high resolution image. In recent years, many deep learning based techniques have surfaced and as a result, super-resolution has become a competitive field spurring the proposal of many state-of-the-art models. Super-Resolution can potentially have many applications and one such application, which is especially relevant during this COVID-19 pandemic, is face mask detection. Face mask detection has been implemented rapidly around the world since the start of the pandemic and this project shows that super-resolution techniques help improve the accuracy of face mask detection. Three models which are SSD based models enhanced with the addition super-resolution layers are pitted against the baseline model without super-resolution layers present. All models were trained, validated and tested on a dataset containing 14,016 images of masked and unmasked faces. All of the proposed models beat the baseline model’s mean average precision (mAP) of 76.73% where the best mAP achieved was 80.69%. Bachelor of Engineering (Computer Science) 2021-04-16T07:56:26Z 2021-04-16T07:56:26Z 2021 Final Year Project (FYP) Suresh, P. A. (2021). Improved face mask detection with super-resolution techniques. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/147942 https://hdl.handle.net/10356/147942 en SCSE20-0347 application/pdf Nanyang Technological University |
| spellingShingle | Engineering::Computer science and engineering Suresh, Prem Adithya Improved face mask detection with super-resolution techniques |
| title | Improved face mask detection with super-resolution techniques |
| title_full | Improved face mask detection with super-resolution techniques |
| title_fullStr | Improved face mask detection with super-resolution techniques |
| title_full_unstemmed | Improved face mask detection with super-resolution techniques |
| title_short | Improved face mask detection with super-resolution techniques |
| title_sort | improved face mask detection with super resolution techniques |
| topic | Engineering::Computer science and engineering |
| url | https://hdl.handle.net/10356/147942 |
| work_keys_str_mv | AT sureshpremadithya improvedfacemaskdetectionwithsuperresolutiontechniques |