This article presents a comprehensive guide to building a deep learning system that can automatically colorize black and white images using CNNs, OpenCV, and the Lab color space. The project walks thr
ough the complete workflow from data preparation to model deployment, including code examples and practical applications.
Reasons to Read -- Learn:
how to implement a practical deep learning project that combines computer vision techniques with neural networks to solve a real-world problem of colorizing historical photos
how to work with different color spaces (particularly Lab color space) and understand the process of converting between color representations in image processing
how to build and train a CNN-based encoder-decoder architecture using TensorFlow/Keras, complete with working code examples and detailed explanations
publisher: @bhatadithya54764118
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