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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 relevantobjects in each frame of video data.
Most commonly, annotators use bounding boxes to pinpoint objects that machine learning engineers have designated as important to label. These boxes will then be assigned a colour and a label. Different machine learning projects require different ranges of objects to be labeled, in different ways.
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.
