Name of all the group members are as follows: Madiha Mahek – 22110977, Aman Tinwala – 22068053, Stephen Wambua – 22105680, Shobhit Rana – 22076699.

The project was held under the guidance of Dr. Rosalind Wang and Tutor Vishal Patel.

This project is based on Python programming language and Machine Learning models. Given the RAW data of images of 64×64 pixels, which were further tuned and converted to pixel values and drafted into a .csv file to process and fit various Machine Learning models.

Starting from data preprocessing, data visualization was done on the drafted .csv data to remove any anomalies and clear NA data. Further, the model building started with an initial fir on Neural networks, Support Vector Machines, Decision Trees and Random Forest models. All these models were fitted onto the same data to study and utilize the insights each of these models gave us. Based on its confusion matrix, accuracy rate and all other visual factors, a comparative study was then carried out to explore hidden patterns and details of the images.

The main of this project is to built a ML model that can detect any defect in the given image of fabric. The end goal was to train and develop an model with described features.