Computer-Vision

Projects

1. Handwritten Digit Classification: Classification of handwritten digits (the MNIST dataset), a very beginner friendly project in Computer Vision.
2. CIFAR10 Classification: Classification of RGB images with classes such as bird, cat, horse, ship, automobile etc. with PyTorch
3. Facial Recognition: Facial Recognition from various angles using Siamese Networks and One Shot Learning
4. Alzheimer's Detection: Using brain scans to detect Alzheimer's in patients.
5. Fish Species Classification: Using images of fishes taken from A Large Scale Fish Dataset, to classify fishes.
6. CIFAR10 with Hyperas: Automated hyperparameter tuning using Keras on CIFAR10.