Video Video Annotation

Quadrant Neotech delivers stellar Video, Text, image, Data  annotation services that power AI, machine learning, and data operation strategies.

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VIDEO ANNOTATION: WHAT IS IT?

The technique of labeling or tagging video clips is known as video annotation, and it is used to train computer vision models to recognize or detect objects. In contrast to picture annotation, object recognition for machine learning models is achieved through frame-by-frame annotation of video objects.


For the best machine learning performance, ground truth datasets are produced by high-quality video annotation. Deep learning is being used for video annotation in a wide range of areas, such as geospatial technology, medical AI, and self-driving automobiles.

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Video Annotation Services

BOUNDING BOXES

It is the most commonly used type of video annotation in computer vision. iMerit computer vision experts use rectangular box annotation to illustrate objects and create training data so apps and algorithms can identify and localize objects during ML processes.

POLYGON ANNOTATION

Expert annotators plot points on each vertex of the target object. Polygon annotation allows all of the object’s exact edges to be annotated, regardless of shape.

SEMANTIC SEGMENTATION

Videos are segmented into component parts, by the iMerit team, and then annotated. iMerit computer vision experts examine video frames and classify objects pixel by pixel.

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