Color Detection Using Machine Learning

Project Synopsis & Overview

This project develops a machine learning-based color detection system that identifies dominant colors in digital images under varying lighting conditions. It involves image acquisition, RGB color analysis, image preprocessing, boundary detection, and feature extraction to distinguish objects from their backgrounds. Deep learning techniques are applied for color classification, enabling automated color recognition and supporting applications in image analysis, object identification, and computer vision.

Complete Technical Specifications