Data annotators: The real heroes of the Artificial Intelligence era

mediumThis post was originally published by at Medium [AI]

Here is everything you need to know about data annotators and how they add tremendous value to this era of artificial intelligence.

Data — Isn’t that all we need?

In the past decades, we have seen many improvements in Artificial Intelligence (AI), Machine Learning (ML), and still, there’s a long way to go. The impact of AI on business is enormous. There’s always this hype that AI can reach anywhere and do anything. That’s true, but to achieve that stage, we need vast amounts of data. All the AI and ML models are fed with tons of data to give us the best or the sophisticated user experiences like personalized recommendations for products while shopping online or a chatbot that answers our questions.

Entering the world of data annotation

Let me give you a simpler version of the definition of data annotation. Data annotation or data labeling is the process of labeling data for AI or ML models/applications. The data can be in various forms, such as texts, images, audio, and video clips.

A real-life example of a data annotator

When I had a chance to connect with Rahul, a data annotator, I came to know many things about his job and his work life for the past two years.

A day in the life of a data annotator

The data annotator first starts with the raw data collected from various sources like the internet, public domains, or satellite. These raw data should be processed or cleansed because they may come from multiple forms and is of varied quality. Low-quality data, like an unclear picture, is removed and kept for future reference. Once the data annotator checks all the images, texts, or video clips, he or she moves on to his next step, merging.

Dealing with large chunks of data?

If you are looking for a data annotation platform or worried about dealing with a large amount of raw data every day, Worry not! Mojo has got your back. Mojo, an end-to-end data annotation platform, helps to empower your business with its data abstraction, annotation, and enrichment features with humans-in-the-loop.

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This post was originally published by at Medium [AI]

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