dataannotaatiot
Data annotation is the process of labeling raw data to make it usable for machine learning and data analytics. Labeling can be applied to images, text, audio, video, and sensor readings, among others. The aim is to produce high-quality labeled datasets that support supervised learning, model evaluation, and benchmarking. Annotation is often performed by human raters, sometimes with automated assistance or active learning.
Common tasks include image classification, object detection with bounding boxes or polygons, and segmentation; text labeling
Typical workflows involve data collection and privacy checks, creation of annotation guidelines, labeling and quality control,
Tools and formats vary, with platforms such as CVAT and VGG Image Annotator supporting many annotation types.
Data annotation raises challenges around cost, scalability, bias, privacy, and worker welfare. Good practices include clear