An essential step in creating a successful ML model is labeling the data. So even while labeling might appear simple, it can be difficult to perform. To choose the ideal label, businesses must consider a variety of elements and techniques.
Data is a big part of AI. For machine learning algorithms to learn and improve, it needs data that is accurately annotated, categorized, and anonymized. The demand for reliable data labeling companies is increasing as machine learning and artificial intelligence rapidly advance. Data labeling is a crucial step in the preprocessing of data for machine learning, particularly supervised learning, where input and output data are labeled for categorization to serve as a learning foundation for subsequent data processing.
It makes sense that India has gained a reputation as one of the best locations for outsourcing data labeling. Examples include population expansion, globalization, and the availability of inexpensive labor. In response to the expanding need for data labeling services, a large number of new businesses have emerged.
Let’s take a look at a few important data-labeling businesses in India in 2023.
TaskMonk
For around 500 retail businesses, Taskmonk’s collaborative labeling platform for eCommerce aids in the completion of 4.5 million jobs each month. With their AI-assisted job allocation no-code workflow, they provide you with shrewd tools to boost productivity and obtain better label data 3x faster. Additionally, Taskmonk supports eCommerce teams in a variety of ways, including boosting conversion rates, customizing client experiences, utilizing chatbots, and much more.
Zuru
Zuru is a business that uses AI to assist with labeling data. This brand-new business annotates data. Its objective is to assist AI enterprises in offering a significant amount of high-quality, inexpensive training data. End-to-end, scalable annotation solutions from Zuru are available with short turnaround times and accuracy. They also provide the option of adding notes to speech, text, and image files.
Shaip
Shaip provides end-to-end AI solutions by producing, licensing, and translating unstructured data into highly accurate training data that is customized for each client. Their objective is to organize medical data to lower healthcare expenses and improve patient care. Around 5 million records and audio files in 31 different specialties can be found in their medical data library. Also, it has approximately 2 million radiology and other medical images, including MRI, CT, GIS, and XR images. More than 20,000 hours of audio in more than 100 distinct languages and dialects have had speech data marked up by Shaip. Additionally, they provide open datasets through the Shaip library, which you can use to quickly and reliably create AI and ML (Machine Learning) models.
iMerit
The data labeling business iMerit is based in West Bengal, India. In the areas of computer vision, natural language processing, and content services, it provides high-quality, end-to-end data annotation. It uses artificial intelligence and machine learning to assist its clients in controlling apps. They also support the creation of datasets, the tagging of photos, the improvement and cleaning of data, etc.
Data Tika
Tika Data provides services for image labeling and data collection that don’t rely on crowdsourcing. These solutions apply to the Internet of Things, computer vision, and natural language processing. Tika Data offers a cutting-edge approach to providing data annotation services in the age of artificial intelligence. It’s because people use AI in their daily lives.
