Course work for CS-GY-6613 Spring 2024: Artificial Intelligence
David Hauss: dh3382
Assignment 1: An exercise in Gaussian probability and Linear Algebra
Assignment 2: Here I use a pretrained object detector to design and train an autoencoder. I use the small vector embeddings from the autoencoder to populate a vector database, allowing for NN similarity queries based on the cropped images of detected and autoencoded objects. See Assignment 2 folder for more details.
Assignment 3: Here I use the VisDrone dataset to train a YOLOv8 model to recognize cars and bicyclists. I then use a Kalman filter to predict the trajectories of the target car and bicyclist in each video. See Assignment 3 folder for more details