Data labeling, in terms of machine learning, is the process of identifying and marking data samples. Data labeling can be referred to as tasks that involve data marking, annotation, classification, moderation, transcription, or data processing. Choosing informative, discriminatory, and independent characteristics for labeling is critical if you want to develop high-performance algorithms for pattern recognition. Apex invests time and resources to ensure high-precision data labeling is achieved.
"What is data labeling? -Tagging a text , images, links etc with informative tags and making to the tool understand is called data labeling."
