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eBay's New Image Search Feature is Now Live Within iOS App

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Following an announcement earlier in the summer, eBay this week launched an "Image Search" feature in its iOS application. Image Search uses computer vision technology powered by AI to let you search the popular auctioning site by snapping a picture -- or uploading one from your Camera Roll -- and receive similar results based on image recognition abilities.

Live now in the eBay iOS app, you can tap the camera icon in the search bar at the top of the home screen, choose "Image Search," then take a picture or upload one from Photos. You'll have to grant eBay access to both your iOS Camera and Photos apps for the feature to work properly.

ebay image search pic 1
After you take a picture or choose one, you can crop it so it focuses on the item you want to search, and then tap "Search." eBay will then show you listings for items that are a "close match" or "visually similar" to the product in your picture. Image Search takes into account all of eBay's over one billion listings, according to the company.

Leveraging the latest advances in two core parts of artificial intelligence -- computer vision and deep learning -- these new features make it easier to find and buy the things that inspire you. When you upload images to run Find It On eBay and Image Search, we use a deep learning model called a convolutional neural network to process the images.

The output of the model gives us a representation of your image that we can use to compare to the images of the live listings on eBay. Then, we rank the items based on visual similarity and use our open-source Kubernetes platform to quickly bring these results to you, wherever you are in the world.

eBay also launched "Find It On eBay" for Android smartphones only, which lets users start an image search on another social platform, like Facebook. Using a share extension on an image, Android users can tap eBay and the retailer's app will open to show similar listings.

ebay image search pic 2
We've performed a few quick Image Searches today and found mostly solid results for some items (an Apple Watch and band), although other products stumped the software so much we got an error (Nintendo Amiibo, Apple Watch dock). eBay still hasn't said if some products are more reliable than others, but it did mention that Image Search will gain intelligence as customers use it more, as is typical with machine learning technology.

Image Search is live now on iOS and Android, and Find It On eBay has also launched on Android this week. The eBay app on iOS doesn't require an update for Image Search, so it appears the company is rolling out the feature through over-the-air installs.

Tag: eBay

Top Rated Comments

110 months ago
Doesn’t work. I scanned my dick and all it showed me was a President.
Score: 3 Votes (Like | Disagree)
ck2875 Avatar
110 months ago
Pretty surprised Amazon hasn't added this yet, but I'm guessing it won't be long.
Amazon has had this since early 2014 ('https://techcrunch.com/2014/02/06/amazon-puts-image-recognition-into-its-main-ios-app-prepare-to-be-even-more-showroomed-retailers/'). You just tap the camera icon to the right of the search bar.

Score: 2 Votes (Like | Disagree)
whyamihere Avatar
110 months ago
Pretty surprised Amazon hasn't added this yet, but I'm guessing it won't be long.
Score: 2 Votes (Like | Disagree)
x-evil-x Avatar
110 months ago
Wow. It really works. I took a random picture of my fan, and it found the exact one on eBay.


Attachment Image
Score: 2 Votes (Like | Disagree)
earthTOmitchel Avatar
110 months ago
Wow. It really works. I took a random picture of my fan, and it found the exact one on eBay.
I've been surprised, too. The best results I've gotten so far are for specific products like my Apple Watch and a few bands, although plenty of non-AW bands have surfaced. I was hoping odd things like Amiibo would bring up cool results, though.
Score: 2 Votes (Like | Disagree)
110 months ago
Wow. It really works. I took a random picture of my fan, and it found the exact one on eBay.
Score: 2 Votes (Like | Disagree)

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