Data Annotation Services Techniques
Data annotation services employ a range of techniques to prepare data for AI and machine learning models. These techniques include image annotation methods like bounding boxes, polygonal segmentation, and landmark tagging; text annotation methods such as sentiment analysis, entity recognition, and intent classification; and audio annotation involving transcription and sound labeling. Depending on the project, annotation can be manual, semi-automated, or fully automated, often with multiple quality assurance steps to maintain accuracy and consistency across datasets. #dataannotationservices #datalabelingcompany
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