The notebook "Squares" contains code for the Squares dataset.

The dataset contains 3 types of squares, which are visually varying in intensity. The objective of the problem is to classify the 3 types of squares using any method.

The data is not being provided but the code can be used as opensource.

The code contains:

• Histogram plot of images per channel
• CNN to classify
• Quantitative analysis of the dataset
• Feature extraction and PCA using pretrained models(VGG19,VGG16,Resnet)
• Error analysis to find patterns in the misclassified data

Part 1 contains all expereiments which can be run with the dataset

Part 2 contains sample runs which were used for analysis