Mini toolsDefinition
The process of labeling data with relevant tags, classifications, or information to make it usable for training AI models.
Detailed Explanation
A systematic approach to adding metadata, labels, or tags to raw data (images, text, audio, etc.) to create training datasets for supervised learning. This process involves human annotators or automated tools following specific guidelines to ensure consistency and accuracy in labeling.
Use Cases
Training computer vision models with labeled images, Creating NLP datasets with annotated text, Building training sets for autonomous vehicles
