Data Labeling
Data & Infrastructure
Annotating data with ground-truth labels
What is Data Labeling?
Manual or semi-automated annotation is crucial for supervised learning; tools and quality controls reduce errors.
Real-World Examples
- •Bounding boxes for object detection
- •Transcription for speech datasets