Summary:
- The article discusses data labeling, which is the process of annotating and categorizing raw data to make it usable for machine learning models.
- It highlights the importance of high-quality data labeling in training accurate and reliable AI systems, as well as the challenges involved in the process.
- The article also covers the different types of data labeling, such as image, text, and audio labeling, and the various techniques and tools used to streamline the data labeling workflow.