A Python-based image color identification tool using OpenCV and the LAB (CIELAB) color space for enhanced perceptual accuracy. This project allows users to click on any part of an image to detect the closest color match from a predefined color dataset.

Hierarchical image colorization model combining a Swin Transformer encoder with an EMA-based VQ-VAE bottleneck and a residual decoder. Learns discrete color representations and produces realistic, perceptually consistent colorizations