This is dataset for multiclass facemask semantic segmentation and classification. Dataset contains face images that use masks correctly and incorrectly. The image is obtained from MaskedFace-Net dataset [1].
There are 500 images which are divided into 2 (two) classes:
- 300 images with Correct Wear Mask (CWM) at 1024x1024
- 200 images with Incorrect Wear Mask (IWM) at 1024x1024
The dataset is also divided into training data and testing data :
- 450 images for training data
- 50 images for testing data
Below is a summary of data distribution from the dataset :
| Class Name | Data Training | Data Testing | Total |
|---|---|---|---|
| CWM | 275 | 25 | 300 |
| IWM | 175 | 25 | 200 |
| Total | 450 | 50 | 500 |
- Cabani, Adnane, et al. "MaskedFace-Net–A dataset of correctly/incorrectly masked face images in the context of COVID-19." Smart Health 19 (2021): 100144. -- Link