DEEP LEARNING BASED IMAGE COLORIZATION

This project explores the realm of deep learning for image colorization, aiming to breathe new life into monochromatic images. Leveraging transfer learning and pre-trained models, we delve into the fascinating intersection of computer vision and artistic expression. The proposed model, based on state-of-the-art architectures, learns intricate color relationships from existing datasets and applies this knowledge to gracefully infuse color into grayscale images. Through open cv, CNN, experimentation and fine-tuning, the project seeks to achieve realistic and aesthetically pleasing colorizations. This endeavor not only embraces the technical challenges of deep learning but also celebrates the artistry of transforming the past into a spectrum of vibrant hues.