'Algorithmia' Uses Deep Learning to Colorize Black and White Photos
Laura McQuarrie — July 16, 2016 — Tech
References: demos.algorithmia & arxiv.org
'Algorithmia' is the name of a new software that uses artificial intelligence to automatically colorize black and white photos.
What makes colorizing black and white photos such a challenge is that some items in the photo could be any color. The impressive deep learning tool was developed by Richard Zhang, a UC Berkeley computer vision PhD student, who says: "Our goal is not necessarily to recover the actual ground truth color, but rather to produce a plausible colorization that could potentially fool a human observer." What powers Algorithmia are advanced image-recognition programs known as Convolutional Neural Networks, or CNNs.
As of now, the Algorithmia program can be used online by pasting a URL for an image in order to see it colorized and the results can be downloaded.
What makes colorizing black and white photos such a challenge is that some items in the photo could be any color. The impressive deep learning tool was developed by Richard Zhang, a UC Berkeley computer vision PhD student, who says: "Our goal is not necessarily to recover the actual ground truth color, but rather to produce a plausible colorization that could potentially fool a human observer." What powers Algorithmia are advanced image-recognition programs known as Convolutional Neural Networks, or CNNs.
As of now, the Algorithmia program can be used online by pasting a URL for an image in order to see it colorized and the results can be downloaded.
Trend Themes
1. AI Colorization Software - Opportunity for AI algorithms to automatically colorize black and white photos using deep learning.
2. Deep Learning - Potential for advanced image-recognition programs like CNNs to power innovative colorization tools.
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Industry Implications
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3. Artificial Intelligence - Advancements in deep learning and image recognition can revolutionize AI applications in various industries, including colorization software.
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