What is Video Annotation?
Computer vision, the technology that allows computers to obtain high-level knowledge from digital images or videos and comprehend and interpret visual information like humans, relies heavily on image annotation.
The process of creating most computer vision models begins with image annotation. For computer vision, datasets are required as useful components of machine learning and deep learning.
Video Annotation Techniques
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Single Image Method
This would be 1,800 frames per minute in a 30fps video. This method ignores all of the advantages of video annotation and is just as time-consuming and expensive as annotating a huge number of photographs. It also introduces the possibility of human mistake, because one object may be classified as one thing in one frame and another in the next.
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Continuous Frame Method
Object detection or recognition models go one step farther than image categorization to determine the presence, location, and quantity of objects in a picture. The image annotation procedure requires drawing boundaries around every detected object in each image for this type of model, allowing us to locate the exact position and number of objects present in an image.