Canny Edge from Scratch
Implementing Canny Edge Detector from Scratch
Projects
Cat-Dog Classification using CNN
CNN based classifier for categorising dogs from cats
Live Hand Written Digit Classification
Classifying handwritten digits from the MNIST dataset of over 60000 images and achieving an accuracy of over 99.4%
Hybrid Image Generation
Blending images by averaging them in the frequency domain
Texture Segmentation
Separating textures using Mixture Model and EM algorithm
Titanic Survival Prediction
Predicting the survivals of test samples(/person) using some of the given cases result. This problem is based on feature analysis and classification.