Successfully trained a deep learning model using convolutional neural networks which can predict to a great level of accuracy whether a given person is wearing a mask or not.
Link: https://www.kaggle.com/datasets/ashishjangra27/face-mask-12k-images-dataset
This dataset is used for Face Mask Detection Classification with images. The dataset consists of almost 12K images which are almost 328.92MB in size.
- Keras
- Tensorflow
- Scikit-learn
- Numpy
- Pandas
- Matplotlib
- Seaborn
- OpenCV
- Pillow(PIL)
- Imutils
All the images with the face mask (~6K) are scrapped from google search and all the images without the face mask are preprocessed from the CelebFace dataset created by Jessica Li. Thank you so much Jessica for providing a wonderful dataset to the community.
The inspiration behind creating this dataset is to create an algorithm that can directly detect if a person is wearing a face mask or not. So the images have been scraped from Google as well as from the CelebFace dataset created by Jessica Li to make this happen.