Labelling the data is a crucial step in making an ML model that works well. But, even though labelling seems easy, it can be challenging to do. So, companies must look at several factors and methods to determine the best label.

AI relies a lot on data. It needs data that is correctly annotated, categorized, and anonymized so that machine learning algorithms can learn and get better at what they do. With the fast growth of machine learning and artificial intelligence, the need for good data labelling companies is rising. Data labelling is an essential part of data preprocessing for machine learning, especially supervised learning, in which input and output data are labelled for classification to provide a learning base for future data processing.

India has become known as one of the most reliable places to outsource data labelling, which makes sense. Globalization, population growth, and cheap labour are just a few examples. As the need for data labelling services has grown, many new companies have popped up to meet it.

Let's look at some critical data labelling firms in India in 2023.

TaskMonk

Taskmonk is a collaborative labelling platform for eCommerce that helps 4.5 million tasks get done monthly for about 500 retail companies. With their no-code workflow for AI-assisted task allocation, they give you smart tools to help you increase efficiency and get better label data 3x faster. In addition, Taskmonk helps eCommerce teams increase conversion rates, personalize customer experiences, use chatbots in multiple languages, and do much more.

Zuru

Zuru is a company that helps label data with the help of AI. It is a new company that annotates data. Its goal is to help AI businesses provide large amounts of low-cost, high-quality training data. Zuru provides end-to-end, scalable annotation solutions with quick turnaround times and accuracy. In addition, they offer the service of adding notes to images, text, and voice.

Shaip

Shaip offers AI solutions from start to finish by creating, licencing, and transforming unstructured data into training data that is highly accurate and tailored to each client. Their goal is to organize medical data so that care for patients gets better and costs for health care go down. Their medical data catalogue has over 5 million records and audio files in 31 specialities. It also has over 2 million medical images in radiology and other things, such as MRIs, CTs, USGS, and XRs. Shaip has also marked up speech data for more than 20,000 hours of audio in more than 100 different languages and dialects. They also give you open datasets through the Shaip library, which you can use to make your AI and ML (Machine Learning) models quickly and accurately.

iMerit

iMerit is the data labelling company iMerit in West Bengal, India. It offers high-quality, end-to-end data annotation across computer vision, natural language processing, and content services. It helps its client control applications using machine learning and artificial intelligence. They also help create datasets, add tags to images, verify data, improve data, clean it, etc.

Tika Data

Tika Data offers data collection and image labelling services that use something other than crowdsourcing. These services apply to Natural Language Processing, Computer Vision, and the Internet of Things. Tika Data provides an innovative method for delivering data annotation services in the AI era. It is because AI is being utilized in daily life.