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Data Labeling Tools Are Becoming Increasingly Valuable in Business

With the introduction of AI and machine learning in the field of data processing, the data labelling tool has grown from a basic name assigned to an image to a complex and sophisticated device that is becoming invaluable for finding relevant, exacting images at a moment’s notice.

The days of filing images by hand with a name describing the contents of the image are long gone. These days, the transformation of these images to digital data that can be retrieved in seconds is the key to competing in today’s online business world.

The process that makes this all possible is the data labelling tool. This vital tool uses AI and machine learning to identify visual elements of the image and make these elements searchable as well. This process has become crucial to a company that employs images on a large-scale as the essence of its business.

Benefits to All Types of Industries

Through the use of AI and machine learning in recognizing key elements in images, this tool has become vital in such industries as online, image-heavy magazines, architectural firms, medical offices and hospitals, and photographers and filmmakers.

Practically any business that is reliant on the production or use of images can benefit from the introduction of AI and machine learning into a data labeling tool.

Storage Needs Are a Thing of the Past

By partnering with a data management company that specializes in the use of AI and machine learning in their data management capabilities, these industries and others can enjoy the instantaneous retrieval of images from a huge database.

However, this database won’t be clogging up the customer’s servers. The data management company sets up the database in the cloud and makes it securely accessible to its customer in the industry. All the customer needs to do is to enter the names of elements they are looking for in images, and the database will list a number of images containing those elements.

Workable Solution Over Hard Copies

Two of the biggest problems in the image industry have always been the degradation of hard copies of the images over time, and the need for physical storage facilities. With the birth of digitization around the end of the 20th century, these two problems were effectively solved.

But with the sudden ability to digitize the images, the companies that were using this new technology on a daily basis were faced with a new problem. The sheer amount of image data was hard to categorize without physically seeing each and every image.

The data labeling tool solved this problem, as well. With the introduction of AI and machine learning, the data labeling tool acts as the ‘eyes’ of the user. It picks out each element the user is looking for and identifies the element in the database.

It has increased both the speed of retrieval and accuracy. It has proven to be a lifesaver to companies that rely on an ability to sort through their vast database of images quickly.