![]() In the beginning, to find an image, you would come up with some words to describe what you wanted to see-say, “top of Mount Everest.” Then, you’d type those words into search. ![]() But for anyone who wants to understand the history of how one of our most used resources-search-has developed to our specific tastes, stick around. You can now search for images with an image, and computers can recognize and categorize images better than ever.īut it’s been a long road from text searches to advanced image recognition, and we’re still developing the technology. Today, we finally have working iterations for this idea. Making image search tech that fits the human model of behavior has involved a long quest focused on providing one thing: giving people the ability to search for images without using words. Only when forced do we add textual attributes-colors, size, shape, texture-to describe images. We see things we want, we save pictures, and we recall images with startling clarity in our mind’s eye. Why? Because people don’t think about images in words. This technique was not cutting the mustard for image search, and search engine developers knew it. Searching on the web started by imitating analog, text-based searches.
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