Automated Image Colorization has been a topic of interest among the computer vision community. It seems surreal to get a colorful photo of a black and white image. Imagine a 4-year old picking up a crayon and gets engrossed in his coloring book! Could we teach an artificial agent do the same and just “imagine” stuff?
Of course, this is a hard problem! This is because we as humans get “trained” each and every day by seeing how things are colored in real life. We might not notice but our brain is capturing each moment of our lives and extracting meaningful information from it, such as sky is blue and grass is green. This is hard to model in an artificial agent.
A recent study shows that if MindMajix Python training we train a neural network enough on a large number of the especially prepared dataset, we can essentially get a model which could “hallucinate” colors in a grayscale image. Here’s a demonstration of an image colorizer:
To practically implement this, we use an API developed by Algorithmia.
Requirements and Specifications:
Python (2 or 3) Internet connection (for calling API endpoint) 12 algorithmia credits (Although credits are paid, algorithmia provides 5000 credits
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