Video Annotation: A Complete Guide (Computers - Information Technologies)

Item ID 2662821 in Category: Computers - Information Technologies

Video Annotation: A Complete Guide


The process of adding annotations to videos is known as video annotation or video labeling. The primary goal of video annotation is to make it easier for computers to identify objects in videos using AI-powered algorithms. Annotated videos create a high-quality reference database that computer vision-enabled systems can use to accurately identify objects like cars, people, and animals. With an increasing number of everyday tasks relying on computer vision, the value of video annotation cannot be overstated.
Video Annotation is one of the annotation processes that requires labeling target objects in video footage. This information is generally added to videos by human annotators who apply outlines and labels to video frames in line with the specific requirements of each machine learning model.In most cases, video annotation means teams of annotators locating relevant objects in each frame of video data.
TagX offers an efficient and accessible annotation framework that can be modified according to the deep learning model’s relevant use cases. Our professional annotators deliver the best-in-class results with the right blend of skills, experience, and expertise. Apart from the frame-by-frame analysis of videos, detection and metadata annotation, and object recognition, we also provide rapid video annotation services for computer vision models.


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Last Update : 15 August 2023 11:52 AM
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Item  Owner  : Prashi Ostwal
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2024-04-30 (0.392 sec)