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In 2017, Pinterest introduced a "visual search" function that allows users to search for elements in images (existing pins, existing parts of a photo, or new photos) and guide users to suggested similar content within Pinterest's database.
By using reverse image search, Pinterest is able to extract visual features from fashion objects (e.g. shoes, dress, glasses, bag, watch, pants, shorts, bikini, earrings) and offer product recommendations that look similar.
April 24: Pinterest announces and releases Guided Search for its mobile apps, a new visual way to explore Pinterest's more than 30 billion pins—links or images chosen by users and assigned by them to topical collections.
He is the co-founder and executive chairman of Pinterest, a visual discovery engine which lets users organize images, links, recipes and other things.
Persian tea. Matcha milk tea. Strawberry ice tea. Coco milk tea. Lemon ice tea. If you're not much of a coffee drinker, then it seems you are in luck—because it's tea central this summer ...
The main purpose of Google Search is to search for text in publicly accessible documents offered by web servers, as opposed to other data, such as images or data contained in databases. It was originally developed in 1996 by Larry Page , Sergey Brin , and Scott Hassan .
TinEye is a reverse image search engine developed and offered by Idée, Inc., a company based in Toronto, Ontario, Canada. It is the first image search engine on the web to use image identification technology rather than keywords, metadata or watermarks. [1]
Image sharing on social news and image aggregation sites such as Reddit, Imgur, 4chan, Pinterest and Tumblr allow users to share images with a large community of users.
The search engine that helps you find exactly what you're looking for. Find the most relevant information, video, images, and answers from all across the Web.
Image search is a specialized data search used to find images. To search for images, a user may provide query terms such as keyword, image file/link, or click on some image, and the system will return images "similar" to the query.