├── LICENSE
└── README.md


/LICENSE:
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 1 | MIT License
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 3 | Copyright (c) 2023 sadjad
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 5 | Permission is hereby granted, free of charge, to any person obtaining a copy
 6 | of this software and associated documentation files (the "Software"), to deal
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12 | The above copyright notice and this permission notice shall be included in all
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/README.md:
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 1 | # MFSD: Masked Face Segmentation Dataset for face-related tasks
 2 | 
 3 | [[Download]](https://drive.google.com/file/d/1KycQj4dik91RuBGvbhDJou7YDQEKAH2Z/view) [[Results]](https://github.com/sadjadrz/ABANet-Attention-boundary-aware-network-for-image-segmentation/tree/main?tab=readme-ov-file#results) [[Codes]](https://github.com/sadjadrz/ABANet-Attention-boundary-aware-network-for-image-segmentation)
 4 | 
 5 | ![image](https://github.com/sadjadrz/MFSD/assets/77124662/90413053-647b-47f1-8834-a036234cde4c)
 6 | 
 7 | Mask region segmentation is a preliminary stage to tackle the occlusion issue corresponding to the face-related tasks. Existing masked face datasets are not procedure binary segmentation maps because Segmenting mask regions manually is a time-consuming operation. As a result, existing unmasking methods by overlaying masks on existing face datasets. However, since these techniques rely on an artificially generated mask, their effects tend to seem unnatural. To address this issue, the masked face segmentation dataset (MFSD) provides the first public training dataset for the face mask segmentation task.
 8 | 
 9 | ![image](https://github.com/sadjadrz/MFSD/assets/77124662/11981805-4362-45bd-a671-f6b0846d27ed)
10 | 
11 | Details on the dataset can be found at [ABANet: Attention boundary-aware network for image segmentation](https://doi.org/10.1111/exsy.13625).<br>
12 | If you have questions, or any suggestions to help us improve the dataset, please contact sadjadRezvani@gmail.com.
13 | 
14 | ### Directory Tree
15 | 
16 | ```
17 |           ├─ /1
18 |           │　├─ face_crop
19 |           │　└─ face_crop_segmentation
20 | MSFD------│　└─ img
21 |           |  └─ dataset.csv
22 |           ├─ /2
23 |           │　├─ img
24 |           
25 | ```
26 | 
27 | ### Download 
28 | Dataset can be downloaded at [GoogleDrive](https://drive.google.com/file/d/1KycQj4dik91RuBGvbhDJou7YDQEKAH2Z/view).
29 | 
30 | MSFD is distributed under the [MIT](https://github.com/sadjadrz/MFSD/blob/main/LICENSE) License
31 | 
32 | 
33 | ### Citations
34 | 
35 | Please consider citing our work:
36 | 
37 | ```
38 | @article{rezvaniabanet,
39 |   title={ABANet: Attention boundary-aware network for image segmentation},
40 |   author={Rezvani, Sadjad and Fateh, Mansoor and Khosravi, Hossein},
41 |   journal={Expert Systems},
42 |   pages={e13625},
43 |   publisher={Wiley Online Library}
44 | }
45 | ```
46 | 
47 | ### Acknowledgements
48 | A special thanks to [Yasin Rezvani](https://github.com/YasinRezvani) for his invaluable assistance in data collection and labeling. Yasin played a crucial role in gathering data from Google and Instagram and preparing it for deep learning model training.
49 | 
50 | ### Changelog 
51 | * 
52 | 
53 | 
54 | 
55 | 


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