Semantic Annotation: Semantic annotation or text annotation pertains to the process of data labelers training AI and machine learning to identify relevant aspects of a user’s interaction with tools such as chatbots and virtual assistants.
Speech Recognition: A way of helping AI and machines improve their speech recognition.
Image Annotation: These include 3D point annotation, polygon annotation, landmark annotation, semantic segmentation, and bounding boxes to separate elements in an image. Users commonly need to use a bounding box to label and identify different objects in a visual media, in this case an image.
Video Annotation: Objects are analyzed on a frame by frame basis. Autonomous vehicles such as self-driving cars can use training data with video annotation to help identify and avoid obstacles.