Machine learning is becoming ubiquitous. While these applications require tremendous volumes of AI training data, highly automated revolutionary technologies still require humans behind the scenes to manually label data before they can effectively train AI models.
Humans label thousands of data used to train AI systems. For example, to teach a computer how to identify cats, you would need someone to label the images as either “cat” or “no cat.” This process is called data labeling and companies do it for many types of datasets. And because of the sheer amount of data required, crowdsourcing data labeling is an essential process in the development of machine learning algorithms.
Crowdsourced data labeling is breaking down training data labeling projects into smaller tasks to be distributed among a large crowd of contractors or temporary employees.
Through crowdsourced data labeling, teams can collect large amounts of valuable and diverse data samples at a cost typically lower than that of traditional data collection methods.
The most common use case for crowdsourcing data labeling is to collect and label images, videos, and audio clips. This is useful in computer vision, speech recognition, and other machine learning tasks.
Crowdsourcing data labeling has been around for a while now and it’s become a popular solution for companies that need help with their data and information management. With it, data labeling services can be done at a lower cost and with more accuracy. It also allows for more diverse perspectives on the data, which can lead to better insights.
Businesses prefer to crowdsource data labeling over carrying out the same projects in-house because of the following benefits:
There are several factors that you should consider when picking a crowdsourced data labeling partner. But choosing the correct crowdsource data labeling partner can be difficult if you don’t know what to look for.
TaskUs is an AI-powered provider of data labeling solutions. We help businesses with all their data labeling needs, including data management, processing, text analysis, and machine learning on unstructured content. Our enterprise-level solution helps you manage and process your entire dataset across all platforms with high precision, accuracy, and completeness in a cost-effective manner.
Our data labeling capabilities include:
Learn more about our Ridiculously Good AI services today.