readme: ---
  license: afl-3.0
  ---
  My model is an inverted image detector and can help detect if images are inverted with 99% accuracy. \
  I used a dataset containing people with and without masks. I trained my model on ~ 300 images of people without masks and tested it on ~ 60 of the same images distribution: \
  author = {Prasoon Kottarathil}, \
  title = {Face Mask Lite Dataset}, \
  year = {2020}, \
  publisher = {kaggle}, \
  journal = {Kaggle Data}, \
  how published = {\url{https://www.kaggle.com/prasoonkottarathil/face-mask-lite-dataset}} \
  
  
  All Images in this dataset are Generated Using Style GAN-2, \
  10,000 HD images in  each Folder With mask and without mask 
  
  