Flickr today received a new update that will allow users
to search for images based on visual similarity. Now, you’ll be able to
pick an image from a search result and find more photos that share the
same shape, composition, color, or content category.
In a blog post,
Flickr says it uses deep neural networks to analyze the photos as
they’re uploaded to the server. This helps to define the contents of the
image, then flag whether or not it’s safe for work. It’s similar to
what Facebook recently launched last month where users can search for photos based on their content, without requiring the uploader to manually add tags.
Flickr admits that its computer vision technology is not
perfect, and users may come across photos that may not share anything
but similar color tones. The company excuses the behavior by noting that
“even when [the tool] ‘messes up,’ it can force people to look at the unexpected commonalities and oddities of our visual world with a fresh perspective.” Okay then.
Flickr may not be the first place you go to when trying
to search for images, but it is a helpful tool for finding Creative
Commons-licensed photos that fit your exact visual needs. The Similiarity Pivot tool is available now.
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