Comparing and analyzing the results of 2 pre-trained CNN models for detecting Face Mask

• Tech Stack: Python, Django, Keras, Tensorflow, OpenCV, Jupyter Notebook

Took a dataset containing 4000 images, with a split of half images having images of people with no mask and half images with mask.

Using pre-existing CNN models such as InceptionV3 and MobilenetV2 from Keras, we draw accuracy and propose which model is better.

Implemented both CNN models and noticed that MobileNetV2 is showing better and consistent workability and the computational time is far less than that of Incepetionv3.