Posts

Showing posts with the label video annotation

Challenges Faced While Performing Video Annotation in Computer Vision

Image
One of the annotation methods that includes labeling target items in video footage is video annotation. Human annotators apply outlines and labels to video frames following the unique criteria of each machine learning model to add this information to videos. In most situations, video annotation computer vision entails teams of annotators searching each frame of video data for essential things. Annotators widely use bounding boxes to locate things that machine learning engineers have selected as significant to label. After that, these boxes will be given a color and a label. Various machine learning initiatives need to label multiple types of objects in multiple ways. Video annotation computer vsison is beneficial in a wide range of situations. Autonomous car systems are trained to use annotated video data to recognize street borders for lane recognition. It's utilized in medical AI to help in illness detection and surgery. It may be used to create checkout-free retail settings, whe