Ball Type Classification Using Convolutional Neural Network (CNN) Algorithm and Random Forest Algorithm with Local Binary Pattern (LBP) Feature Extraction
Project assignments of Digital Image Processing Course
📌 Used dataset images of balls from the internet and created a model to classify it into 3 classes(Billiard Ball, Soccer, Tennis Ball).
📌 Utilized deep learning techniques to implement a CNN to build a model classification and compared them with models built with the Random Forest algorithm
📌 Improved methodologies using Local Binary Pattern (LBP) feature extraction to improve model performance.