Paddy-Quality-Classifier

This Project is split into 2 segments for the 2 metrics (Quality & Adulteration)

1) Quality.ibnpy

bad_grain.csv
good_grain.csv
combined.csv

2) Adulteration.ipynb and Different_Classifier.ipynb

grains.csv

The images folder contains a compressed dataset, which contains a lot of images of grains. With dimention 500x500.

Helper Functions

The preprocessing done to mold the data as we want.

references

White and black dot detection using OpenCV | Python

Different types of Thresholding

Inspiration

Horizontal line slicing - Total number of grains