Data labeling services providers help businesses turn unlabeled or untagged data into labeled data. They typically employ a human task force or make use of machine learning-assisted labeling to label the datasets given by businesses. Data labeling is the process of turning unlabeled data into labeled data, which is an essential ingredient in training supervised machine learning algorithms. It’s also known as data annotation, data tagging, training data creation, or data classification. Data labeling services providers may or may not offer a platform or an interface using which businesses can submit unlabeled data and view the progress of data labeling. Typically, they charge based on the number of data points labeled. For example, labeling an image may cost a particular fixed amount, or they provide access to annotators who are charged on an hourly basis.
Data labeling software, the software counterpart of data labeling service providers, grants users more control over the data labeling process. Such tools allow users to control factors like data labeling quality, price, and speed. These tools will often have features to check data labeling quality or accuracy and integrate with data science and machine learning platforms.
To qualify for inclusion in the Data Labeling Services category, a services provider must:
- Provide access to data labeling workforce
- Offer per data point or hourly or monthly payment plans
- Offer pre-labeled datasets to choose from
