Image Tagging: A Pivotal Change In Data-Centric Applications
Image Tagging: A Pivotal Change In Data-Centric Applications
October 18, 2017

“If the statistics are boring, you’ve got the wrong numbers.” -Edward Tufte


The above quote says the importance of data to drive the IT world. Over recent years, the data-centric application such as ecommerce, social media, media, entertainment, and content management applications have drawn our significant attention.


Coupled with the fact that data is the lifeblood of today’s world, management of data is still a tedious task whether it is a text or visual. Managing the knowledge base, extracting intelligence, and insights from data are still demanding utmost maintenance despite having the revolution of artificial intelligence and machine learning.


Automatic image tagging is one such technique that is a boon for visual websites and organizations with larger databases. As the number of apps is embracing artificial intelligence and customer-centric environment, data analysis plays a game-changer role.


Image Tagging:

A Revolutionary Method for Data-Driven Applications


Well, with the growing need for intelligent apps and big data analysis, apps are investing in more automated and optimized technological solutions to stay updated.


The solutions like profanity filters, image processors, spam filters, analytical tools, and sentimental analysis are widely used in this data-centric apps to identify the potential of a customer. The applications which can reap the benefits of image tagging automation are mentioned below:


Ecommerce Applications:


You can find many use cases for this software, but ecommerce industry can be significantly beneficial by this as there is more emphasis on visual search.


For better visual analysis and product categorization within an ecommerce segment, automatic image recognition is a scalable option. It results in faster and accurate recognition with brands, attributes, and taxonomies.


News and Entertainment Applications:


Adding one more into the category apart from ecommerce, news and entertainment applications are also based on visuals. Use of automated object detection, face identification, and actions can be faster and hence it can save your time and efforts.


Automatic tagging system identifies the popular aspects present within in uploaded content and tags it based on the intelligence and analysis.


Education Applications:


Industries with the specific needs and have diversified range of services or products require more customization. The education industry is full of wide range of topics and categorization that are ever-changing in nature. Here, the industry can make most of this automation due to efficiency and speed it provides from various perspectives.


Social Media Applications:


Any content management system can adapt the image recognition software to get benefited by it. it employs profanity filters such as object detection and face recognition within the content that being uploaded.


To build the data flow and spend significant time to tag each visual can be time-consuming and complicated, too. However, some big companies are using the highly intelligent systems to manage zeta bytes of data every day. The revolutionary approach of AI has already taken businesses to the next level and to start with automation, image tagging software can be the next thing you can invest in.


If you want to know more insights on how digital profanity solution can turn your business into the profit-driven venture, stay connected with us!


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