Smog-Detection

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

Haze/Dehaze Dataset available on: Here

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+.

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

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

Name		Name	Last commit message	Last commit date
Latest commit History 21 Commits
Clear		Clear
Smog		Smog
Smog4000		Smog4000
Create model for smog detection-Copy1.ipynb		Create model for smog detection-Copy1.ipynb
Create model for smog detection.ipynb		Create model for smog detection.ipynb
README.md		README.md
model1.h5		model1.h5
model1.json		model1.json
smog_detection_colab.ipynb		smog_detection_colab.ipynb
smog_detection_colab_new.ipynb		smog_detection_colab_new.ipynb