Cloth Class

AI Course Project. In a team of 2 people, implemented a system for classifying cloth images based on the type of cloth and color. Used K-Means and KNN algorithms with image pixels as features.

- Collaborated in a 2-person team to build an image classification system for identifying clothing color and type
-Implemented K-Means for color clustering and K-Nearest Neighbors (KNN) for garment type classification using pixel-level features
- Enhanced baseline accuracy by improving feature extraction and initialization techniques
-Utilized Microsoft Azure Cloud for model development and experimentation