Data Annotation Tools and Types: A Comprehensive Guide
Data annotation is a crucial process in AI and machine learning, involving labeling raw data to make it usable for training models. This article explores various data annotation tools and types, including text, image, video, and audio annotation. It discusses popular annotation methods like bounding boxes, polygons, and semantic segmentation. The piece also highlights key features of annotation tools, such as collaboration capabilities, quality control measures, and integration with machine learning platforms, emphasizing their importance in improving AI model accuracy and performance.