Stock agency Vecteezy has a new AI Reverse Image Search tool and when we tried to seriously stress test the company's claims of what it could do, it didn't break. Overall, it does a great job of identifying the actual content of photos.
Vecteezy’s AI-Powered Reverse Image Search Tool is Surprisingly Impressiveis a significant player in the stock image space, providing visual content for some of the world’s top brands. Vecteezy recently launched a reverse image search feature that relies upon artificial intelligence to deliver licensable media matching an input image.
Adobe Stock’s results for the same input image, per Vecteezy. Not great here, as Adobe Stock seemed much more interested in showing images of a white man against a blue background rather than what a user would most likely want, images of the same person. | Image credit: VecteezyExample #1: Portland Head Lighthouse
Adobe Stock’s results show some images of Bass Harbor Lighthouse, but also images of other lighthouses that have a similar composition. That may be what some users want, but I wanted other images of the same lighthouse. Vecteezy delivered a couple of photos of Montreal’s skyline taken from a similar vantage as mine, atop the city’s Mont Royal Park. Additional photos of the city were peppered throughout the results, including some shots of the skyline from different angles.Vecteezy correctly identified the city of Montreal in my photo. As you can see below, Adobe Stock only showed images of Montreal as shot from the same angle.
This is one that tripped Vecteezy up. The platform doesn’t have images of the same scene to deliver, so that’s fair. However, at least Vecteezy’s AI model knew I wanted images from autumn. Then again, Adobe Stock performed very well here. It’s important to note that not every situation proved difficult for Adobe Stock. Many did, yes, but not all of them. And Adobe also doesn’t have quite the same issue Vecteezy has concerning a lack of content to deliver as search results, it’s just that Adobe’s reverse image tool isn’t leveraging the massive library effectively in many cases.
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