#ANDROID AFTER IMAGE CLEANER MANUAL#
The feature consists of two paths – auto-cleanup and manual touch-up. This was made possible by our close partnership with the Computer Vision team, who developed a powerful image processing algorithm and built a native library responsible for processing images on mobile platforms. It would also introduce a significant lag for each operation, which is not acceptable due to how critical interface performance is for the user (slower application is one of the top reasons for uninstalls).īy removing back-and-forth, client-server communication, our approach allowed for faster image processing. Image data is heavy, and we didn’t want to transfer such large amounts of data between client and server. One of the most important decisions in the implementation of Image Clean-Up was to make the entire feature deploy locally on the device with the elimination of any service interaction. White backgrounds are important for listings to be optimized for Google Shopping, and they improve the shopping experience for buyers by making search look and feel more streamlined. Second, we found that most users do not have access to professional photo equipment that can be used to take photos of items on a white background, nor do they have the ability to successfully use photo-editing software. eBay needs to constantly improve the visual representation of listings on the platform. First, the importance of quality, visual information is increasing every day. Powered by computer vision, eBay’s Image Clean-Up feature solves two issues. This article provides several updates for the feature on Android. Editor’s Note: Image Clean-Up launched on iOS and Android devices in February 2020.
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