This is a DeepLearning project which will detect whether a person present in given image wore mask or not.
Datset used in this Project consists of two folders (yes
,no
). Yes folder consists of 1188
jpg images
of person wearning mask. No folder consists of 1200
jpg images
of person not wearing mask.
Dataset can be downloaded from the link given in dataset.txt file.
- The images downloaded are preprocessed and converted to batches (size:32) dataset. Data Augumentation is also applied as the available data is less for the Deep Learning model.
- Best parameters(Dropout,optimizer) are selected using Tensorboard visualization.(To know more about Tensorboard visit TensorBoard.
- Project is done in python using Tensorflow ML library (To know more about TensorFlow visit TensorFlow.