Data Annotation: Powering India to the global AI race

One area of scientific research and innovation that we would like to point out as a key driver of future national competitiveness is artificial intelligence.

If I tell you that there is a technology that the entire  world looks up to India for, what would your response be?

“Data Annotation” it is..!

Let’s Know more about it!

What is data annotation?

Data annotation is the process by which particular data is  labeled so that a machine can understand the material inputted and come up withan accurate output. 

With technology dominating all sectors in the world, AI’s  role has become fundamental.

Even the simplest of information like

• The time it takes to arrive at a destination
• Or the next song in the queue can be known via AI and Machine Learning algorithms

For eg:

Source:Indiaai.gov.in

• In the image above, we observe that some enterprises might use data annotation techniques to understand the number of pedestrians while others might use it to understand the car models.

The India Value Proposition

Cost, Infrastructure, Talent and Innovation are the key  areas where India’s competitive edge lies.

Telangana IT minister  quotes: “Data annotation forms a critical part of the AI ecosystem, but isrelatively a low skill job. As a part of vision to expand It economy into rural  areas, we are building a data annotation cluster in rural districts”

The need for data annotation

Data Labelingtakes up 25% of machine learning (ML)  projects !!

One of my colleagues working at MNC had to train a machineto detect defects over the exteriors of a car.

• With the images available on an open source platform, the ML platform was not able to detect the side, size & type of defects
• Hence, the entire team of engineers went to different car mechanic shops and took photos of the defects
• The combination of all of the above led to a successful Machine Learning Project