MyHeritage produces a vibrant, almost utopian version of the original photograph. I ran the tests using each tool's default settings. To get a better sense for Palette's performance, I ran a couple tests comparing it with MyHeritage, another leading AI colorization tool.įor the first test, I used an early-20th-century photo of Japanese tennis player Ichiya Kumagae. While AI models will get better over time, true accuracy will continue to require a layer of human attention. Jordan Lloyd, a visual historian, often spends dozens of hours painstakingly getting accurate colors on old photos, calling experts, reviewing Google Street View, and searching historical records. There are other limits to what AI can do when it comes to historical, cultural, and geographic context. This leads many AI models to opt for the safest choice possible, often going for muted colors rather than vibrant colors when data is unclear. In some cases, AI models simply have to guess. Clothing and other human-made objects are particularly tricky. Of course, some things can be any number of colors. Palette also supplements this data with user-provided text prompts. Combined with an object's lightness value, object recognition increases the accuracy of colorized images. Today's AI models understand that grass is usually green, for example, and that bananas are usually yellow. Palette, like other modern AI colorization models, improves on those earlier attempts partly by using object recognition to improve its accuracy. The first AI models often produced strange results, like a brownish waterfall created by an AI model in 2016. Some of the filters aim less for accuracy and more for an artistic representation of the image.Įarly attempts at AI colorization relied only on the "lightness value" in each section of a grayscale image, which it then mapped to the most likely corresponding color using machine learning. In my tests, the default Base Palette filter tended to feel accurate for most photos. This will feel familiar to anyone who has posted photos on Instagram or used photo editing software. Then, Palette presents you with a set of 20 filters, each of which produces a slightly different result within seconds. The process is intuitive: just upload the black-and-white photo you want to colorize. Palette's default interface is its single image colorization tool. Palette's core features include single image colorization, bulk colorization, and video colorization. In an era of "do everything" design tools like Canva, Palette is unique-it focuses exclusively on AI colorization technology, with features ranging from text prompts to filters to bulk colorization. I also desaturated some of my own photos and "recolorized" them in order to get a better sense for how accurately Palette restores colors. Library of Congress archives and colorized them, both one-by-one and in bulk. To explore Palette's capabilities, I grabbed some black-and-white photos from the U.S. One example: Palette, which uses a custom AI model to colorize photos in seconds. Today, AI tools make image and video colorization fast and widely available.
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