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Data Labeling
データラベリング(データラベリング)
BeginnerCore Concepts
The process of tagging or annotating data (images, text, audio) with meaningful labels so AI models can learn from it.
Why It Matters
High-quality labeled data is often the bottleneck in AI development — models are only as good as their training data.
Example in Practice
Thousands of workers drawing bounding boxes around cars in images to train a self-driving AI.