How Pinterest is teaching its computers to see?
Table of Contents
- 1 How Pinterest is teaching its computers to see?
- 2 How is computer vision used in business?
- 3 How does search work on Pinterest?
- 4 What problems does computer vision solve?
- 5 How does Pinterest use artificial intelligence?
- 6 What is Pinterest’s lens and how does it work?
- 7 What are the different types of visual search engines?
How Pinterest is teaching its computers to see?
Blending pins that shared similar visual objects with pins that were shared on the same boards allowed Pinterest to see how its computer vision-based results stacked up against its non-vision-based results. The addition of the Similar Looks results led to a five percent increase in repins and close-ups on Related Pins.
How is computer vision used in business?
In manufacturing, computer vision makes things more efficient, effective, and safe. It’s used in predictive maintenance to identify an issue before any breakdowns occur as well as in quality control measures. The quantity of items a machine can verify outpaces human’s ability to do the same dramatically.
How can computer vision help people?
Computer Vision applications are used for traffic sign detection and recognition. Vision techniques are applied to segment traffic signs from different traffic scenes (using image segmentation) and employ deep learning algorithms to recognize and classify traffic signs.
What technology does Pinterest use?
Pinterest uses 84 technology products and services including HTML5 , Google Analytics , and jQuery , according to G2 Stack. Pinterest is actively using 13 technologies for its website, according to BuiltWith.
How does search work on Pinterest?
Pinterest Algorithm Like other search engines, Pinterest has its own search algorithm called “Smart Feed”. This algorithm allows you to see the best pins for your specific search phrase. So instead of seeing the newest pins first, you’ll see the best pins first.
What problems does computer vision solve?
The current level of computer vision allows the detection and tracking of single objects (faces, pedestrians, cars) classes in an unconstrained setting. It enables the realization of smart cameras to identify smiling persons, pedestrian detection, surveillance applications, including image-based web searches.
What are machine vision systems?
A machine vision system (MVS) is a type of technology that enables a computing device to inspect, evaluate and identify still or moving images. It is a field in computer vision and is quite similar to surveillance cameras, but provides automatic image capturing, evaluation and processing capabilities.
What is computer vision used in?
Computer vision, an AI technology that allows computers to understand and label images, is now used in convenience stores, driverless car testing, daily medical diagnostics, and in monitoring the health of crops and livestock.
How does Pinterest use artificial intelligence?
By using AI to analyze mountains of data, Pinterest tailors search results for each of its hundreds of millions of users. That’s a big reason why Pinterest considers itself “at its core, a data and AI company,” according to Vanja Josifovski, its Chief Technology Officer.
What is Pinterest’s lens and how does it work?
The creative director from Pinterest was testing the company’s latest invention, a feature called Lens, which–if it performed correctly–would not only identify the fruit but also search through billions of photos that had been uploaded to the service for the past seven years to find similar images. Pereta snapped the photo.
What is visual search and how can it help retailers?
Visual search allows retailers to suggest thematically or stylistically related items to shoppers in a way they would struggle to do using a text query alone. Pinterest, Google, and Amazon are the main visual search engines today. Microsoft has also developed impressive computer vision capabilities for its Bing search engine.
How big is Pinterest’s revenue growth?
Pinterest’s annual revenue is projected to quintuple to $500 million from 2015 to 2017, while its users grow worldwide by a healthy 40\%. (Pinterest declined to comment on revenue growth and projections.)
What are the different types of visual search engines?
Pinterest, Google, and Amazon are the main visual search engines today. Microsoft has also developed impressive computer vision capabilities for its Bing search engine. A host of retailers including ASOS, Wayfair, Neiman Marcus, Argos, and IKEA have all built proprietary visual search tools.