eUnagi Rolls Out An Automated Image-tagging Solution For A Leading English Daily
eUnagi Rolls Out An Automated Image-tagging Solution For A Leading English Daily
October 19, 2018

About Client

 

The client is an established news distributor in India and the largest selling English-language daily in the world.

 

Client’s Requirement

 

Earlier we had built an automatic tagging system that can accurately detect objects, identify faces & expressions from the digital content or publicly accessible web page contents. Satisfied with our portfolio, the client approached us again to build an application that will help them to select appropriate images as per the need, from a huge volume of the repository and auto-tag images of popular celebrities, living objects, locations and lot more.

 

App Features

 

  • The developed tool is able to auto-tag images coming simultaneously from multiple sources for publication.
  • The new app provides an organized image output to make it easily available on the web when anyone looks for an image with relevant tags.
  • This app can detect logos, brands, objects, locations, animals and facial expression just by checking the image on any digital platform.

 

Technology Used To Provide The Solution

 

Once the initial design was approved, the latest version of C#, mvc,.net, Jquery, web API, SQL, cognitive services and Google APIs were used to develop this automatic tagging application.

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