Data Labeling and AI Revolution (2023)
What is Data labeling? Data labeling is employed for machine learning algorithms to identify and comprehend objects properly. Face recognition, autonomous driving, aerial drones, robotics, etc., are all areas where ML has proven essential. Visual (photographic and cinematic), aural, and text data are now the primary categories used in data gathering and labeling. Two primary factors determine an AI system's effectiveness: First, the standard of the underlying model used in the procedure. Two: The Amount and High-Quality of Available Training Data Data labeling, in its simplest form, teaches the system to recognize vehicles by providing examples of various automobiles so
https://www.marktechpost.com/2023/03/13/data-labeling-and-ai-revolution-2023/
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