Colornet
Neural Network to colorize grayscale images
Colornet launched on April 22, 2016 with 341 votes, #39 of 4,301 launches that month and more than 95% of that year's launches. The site was still online in September 2026, 10 years on.
In plain words
Colornet is a neural network tool that automatically colorizes grayscale images. It is designed for developers, designers, and anyone working with historical or black-and-white photography who wants to add color to images. The tool uses machine learning to predict and apply realistic colors, making it useful for restoring old photos or exploring what colorized versions might look like.
written from the facts on this page · September 2026
From the sources
Neural Network to colorize grayscale images. Contribute to pavelgonchar/colornet development by creating an account on GitHub.
Does a similar job
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Open source colorizing grayscale images with NN2016 · github.com · ▲219Neural Network to colorize grayscale images. Contribute to pavelgonchar/colornet development by creating an account on GitHub.
Colormind – Color schemes via Generative Adversarial Networks2017 · colormind.io · ▲399Generate color combinations in one click. Colormind creates cohesive color schemes using a deep neural net.
- UDUse Deep Learning to Automatically Colorize Black and White Photos2019 · demos.algorithmia.com · ▲48
Huemint – Machine learning for color design2022 · huemint.com · ▲335
I made a new AI colorizer2022 · palette.fm · ▲472Hi HN, I’m Emil, the maker behind Palette. I’ve been tinkering with AI and colorization for about five years. This is my latest colorization model. It’s a text-based AI colorizer, so you can edit the colorizations with natural language. To make it easier to use, I also automatically create captions and generate filters. Let me know what you think. You can see some of my results on my reddit page: https://www.reddit.com/user/emilwallner/?sort=top
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