Smog-Detection

This repository is created while attending Udacity's Secure and Private AI Challange.

Haze/Dehaze Dataset available on: Here

What i did?

Try1:

• Downloaded some of datasets and saved each class of image into a single csv file after resize into (100, 100, 3).(Which literally takes more space than entire images.)
• Then merged those files into single list. (I tried numpy array also but showed memory error on 8gb local RAM.)
• Created a numpy array from list, gave class 1 for clear and 0 for smog. Then first label holds class and rest 30000 holds pixel property. Alos normalized data in 0 - 1.
• Created a Simple CNN. Got accuracy 80+.

Try2:

* Used Google Colaboratory. And used VGG net. * Got accuracy 90%.

SmogDetection4000 dataset

This dataset was created by group members of Secure and Private AI Challange by Udacity.