How does reverse image searching work
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Reverse image search is a handy tool for finding similar images or tracking down the source of a pic. It works by using a computer program that’s specifically designed to analyze the visual content of an image and compare it to other images in a database.
The software starts by breaking down the image into its individual components, like colors, shapes, and textures. It then uses this info to create a unique “fingerprint” for the image. Once the fingerprint is created, the software can compare it to the fingerprints of other images in the database to find matches.
Say I’m the reverse image software, and I’m tasked to identify a mysterious object (it’s a banana). I have billions upon billions of other already identified images by humans, on the internet. To identify this I compare it to visually similar pre-identified objects. I then use these labeled images to describe this object, and then I ask the internet. I see that it’s yellow. I see that it’s in a crescent shape. I also see that it has brown tips. When I compare it to labeled similar pictures, I see people eating it. I then see visually similar objects with it in many photos, labeled fruits. Now I ask the Internet: Edible yellow crescent-shaped fruit with brown ends. Lots of sources say it’s a banana. I search for banana photos and compare them. This mysterious object is a banana. I then label the photo and add it to my collection, for later identification.
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