visual search

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Image recognition startup ViSenze raises $20M Series C

ViSenze, a startup that provides visual search tools for online retailers like Rakuten and ASOS, announced today that it has raised a $20 million Series C. The round was co-led by Gobi Ventures and Sonae IM, with participation from other backers, including returning investors Rakuten and WI Harper.

Founded in 2012, ViSenze has now raised a total of $34.5 million (its last round was a Series B announced in September 2016). The Singapore-based company, whose clients also include Urban Outfitters, Zalora and Uniqlo, bills its software portfolio as a “personal shopping concierge” that allows shoppers to find or discover new products based on visual search, automatic photo tagging and recommendations based on their browsing history. ViSenze’s verticals include fashion, jewelry, furniture and intellectual property.

ViSenze’s latest funding will be used to develop its software through partnerships with smartphone makers including Samsung, LG and Huawei. The company has offices in Asia, Europe and the United States, and claims an annual revenue growth rate of more than 200 percent. Other startups in the same space include Syte.ai, Slyce, Clarifai and Imagga.

In a statement, Rakuten Ventures partner Adit Swarup said “When we first invested in ViSenze in 2014, retailers had just started seeing the benefits of powering product recommendations with image data. Today, ViSenze not only powers recommendations for the largest brands in the world, but has helped pioneer a paradigm shift in e-commerce; helping consumers find products inside their favorite social media videos and images, as well as initiate a search directly from their camera app.”

Other participants in the round include returning investors Singapore Press Holdings (SPH) Ventures, Raffles Venture Partners, Enspire Capital and UOB Venture Management, as well as new investors Tembusu ICT Fund, 31Ventures Global Innovation Fund and Jonathan Coon’s Impossible Ventures.

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Snapchat lets you take a photo of an object to buy it on Amazon

See, snap, sale. In a rare partnership for Amazon, the commerce giant will help Snapchat challenge Instagram and Pinterest for social shopping supremacy. Today Snapchat announced it’s slowly rolling out a new visual product search feature, confirming TechCrunch’s July scoop about this project, codenamed “Eagle.”

Users can use Snapchat’s camera to scan a physical object or barcode, which brings up a card showing that item and similar ones along with their title, price, thumbnail image, average review score and Prime availability. When they tap on one, they’ll be sent to Amazon’s app or site to buy it. Snapchat determines if you’re scanning a song, QR Snapcode or object, and then Amazon’s machine vision tech recognizes logos, artwork, package covers or other unique identifying marks to find the product. It’s rolling out to a small percentage of U.S. users first before Snap considers other countries.

Snap refused to disclose any financial terms of the partnership. It could be earning a referral fee for each thing you buy from Amazon, or it could just be doing the legwork for free in exchange for added utility. A Snapchat spokesperson tells me the latter is the motivation (without ruling out the former), as Snapchat wants its camera to become the new cursor — your point of interface between the real and digital worlds.

Social commerce is heating up as Instagram launches Shopping tags in Stories and a dedicated Shopping channel in Explore, while Pinterest opens up Shop the Look pins and hits 250 million monthly users. The feature should mesh well with Snap’s young and culture-obsessed audience. In the U.S., its users are 20 percent more likely to have made a mobile purchase than non-users, and 60 percent more likely to make impulse purchases according to studies by Murphy Research and GfK.

The feature functions similarly to Pinterest’s Lens visual search tool. In the video demo above, you can see Snapchat identifying Under Armour’s HOVR shoe (amongst all its other models), and the barcode for CoverGirl’s clean matte liquid makeup. That matches our scoop based on code dug out of Snapchat’s Android app by TechCrunch tipster Ishan Agarwal. Snapchat’s shares popped three percent the day we published that scoop, and again this morning before falling back to half that gain.

The feature could prove useful for when you don’t know the name of the product you’re looking at, as with shoes. That could turn visual search into a new form of word-of-mouth marketing where every time an owner shows off a product, they’re effectively erecting a billboard for it. Eventually, visual search could help users shop across language barriers.

Amazon is clearly warming up to social partnerships, recognizing its inadequacy in that department. Along with being named Snapchat’s official search partner, it’s also going to be bringing Alexa voice control to Facebook’s Portal video chat screen, which is reportedly debuting this week according to Cheddar’s Alex Heath.

Snapchat could use the help. It’s now losing users and money, down from 191 million to 188 million daily active users last quarter while burning $353 million. Partnering instead of trying to build all its technology in-house could help reduce that financial loss, while added utility could aid with user growth. And if Snap can convince advertisers, they might pay to educate people on how to scan their products with Snapchat.

Snap keeps saying it wants to be a “Camera Company,” but it’s really an augmented reality software layer through which to see the world. The question will be whether it can change our behavior so that when we see something special, we interact with it through the camera, not just capture it.

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Pinterest hires a new head of computer vision

 As Pinterest increasingly tries to sell itself as a startup specialized in computer vision that it plugs into visual discovery, it’s continuing to pick up additional pieces to help continue to build that out. Today, the company said it is hiring former Google computer vision research lead Chuck Rosenberg. Read More

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Pinterest Lens now gives users a way to figure out their outfits with the clothes in their closet

 Looking for what to wear is one of the bigger use cases on Pinterest, but as the company looks to make the process of getting the right content to users more seamless, it’s been increasingly focusing on its interface with the real world with the camera. Now the company is going a step further by letting users tap the camera’s visual search technology with clothes that are already… Read More

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How Pinterest’s visual search went from a moonlight project to a real-world search engine

pinterest lens results Sometime around 2013 and 2014, deep learning was going through a revolution that required pretty much everyone to reset their expectations as to how things worked, and leveled the playing field for what people were doing with computer vision. At least that’s the philosophy that Pinterest engineer Andrew Zhai and his team have taken, because around that time he and a few others began… Read More

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Craves’ new fashion app tells you what the celebs are wearing and finds you similar items

Craves_Editorial2 Want to have a wardrobe like Tay-tay’s? You can now, thanks to Craves. The company is today debuting a mobile fashion application that takes advantage of visual search technology to identify clothing and accessories as seen in photos. In particular, it’s focused on showing you what celebrities are wearing and where you can buy those items – or something similar, but… Read More

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Craves’ Visual Shopping App Helps You Find Clothes You Love Just By Snapping Photos

Craves-Hat-Result While there are a number of applications on the market that let you scan barcodes in order to compare prices, a new fashion-focused app called Craves launching today instead lets you just snap photos of the clothes you want and it returns visually similar results in seconds – no barcode-scanning required. Then, when you find something you like, you can purchase the item directly… Read More

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Slyce Snatches Up Mobile Couponing App SnipSnap For $6.5 Million

ss_snap_redeem Visual search provider Slyce is expanding its lineup of mobile applications taking advantage of its proprietary image recognition technology with the acquisition of popular mobile couponing app SnipSnap for $6.5 million. The deal was a combination of cash and stock, and brings SnipSnap’s 4 million-plus consumers to Slyce, as well as its enterprise product line which Slyce now plans to… Read More

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Visual Search Company Slyce Buys Pounce For $5M To Build “Amazon Firefly” For The Rest Of Retail

ad_L&T_02 Tel Aviv-based Pounce, a mobile shopping app that surfaces deals from retailers, as well as a way to shop print ads and catalogs from your smartphone, has been acquired by visual search company Slyce for $5 million in shares, cash and earn-out incentives. The deal wasn’t entirely a talent grab either, says Slyce, as the company was already on track to roll out a consumer-facing app of… Read More

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