Data labeling is the process of assigning labels to data so that it can be used to train machine learning models. This is a critical step in the development of AI-powered applications, as it ensures that the models are trained on accurate and relevant data. There are two ways to label data for training AI models. One is doing so by using machine learning software, and the other is by using human intervention.
Through machine learning platforms or software, the task can be completed much earlier, but there is a high probability of mistakes. This probability gets reduced when human labelers are doing the job instead of automated software.
Human labelers are the people who perform the task of data labeling. They need to be properly trained and equipped to do their job effectively. This includes providing them with clear guidelines and training them in all needed fields. This would help ensure that the quality of their work is high.
Training Human Labelers
The training of human labelers should be comprehensive and should cover the following topics:
- The basics of machine learning.
- The different types of data labeling tasks.
- The importance of accuracy and consistency in data labeling. This includes providing accurate sources of information for the labeling.
- The specific guidelines for the data labeling task they will be performing.
The training should be interactive and engaging, and it should provide the labelers with opportunities to practice their skills.
As for the guidelines, they should be easy to understand and follow, and they should be updated as needed.
Quality Assurance
Quality assurance is essential to ensure that the data labeling is of high quality. It is one of the most important sectors that needs to be ticked by every labeler, human or otherwise. This can be done by:
- Sampling the labeled data and checking for accuracy.
- Using automated tools to check for consistency.
- Having a team of experts review the labeled data.
Quality assurance should be an ongoing process, and it should be tailored to the specific data labeling task. By providing human labelers with training, guidelines, and quality assurance, they can be empowered to do the job effectively. At Learning Spiral Pvt. Ltd., human labelers from expert fields work together to bring out the best outcome for the clients. Their strong expertise in labeling data and data annotation makes them one of the best in the nation.