There are several types of data annotation and labeling services available, each suited to different AI applications. Image annotation involves labeling objects, scenes, or attributes in images, often using bounding boxes, polygons, or key points. Video annotation extends this to video frames, enabling object tracking and activity recognition. Text annotation includes tasks like sentiment analysis, entity recognition, and part-of-speech tagging. Audio annotation involves transcribing speech, identifying speakers, and labeling sounds. Additionally, 3D data annotation is used for applications like LiDAR and point cloud analysis in autonomous vehicles. Each type of annotation is tailored to the specific needs of the AI project.