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Landmark Annotation for Facial Recognition in Machine Learning

Landmark Annotation for Facial Recognition in Machine Learning

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Created on
April 4, 2020
Last modified
April 4, 2020
Since
April 2020
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Landmark point annotation techniques is used to make the human face recognizable to machines through computer vision technology. The entire face is annotated with dots or point from one corner to another corner measuring the face dimension and other attributes so that machines can store the information and make it usable when the same face comes again through computer vision. Landmark Annotation for Face Recognition The first and most important use of landmark annotation is annotate the face precisely making it recognizable to visual perception based AI model that can identify the same people when exposed to the face. AI security camera or smartphones using this technology to recognize the face and human faces with quick action and high accuracy. Landmark Annotation for Human Gesture Recognition Landmark point annotation is also done to recognize the face gesture of the humans. It helps to recognize the human poses and postures. The landmark annotation helps to make the human gestures recognizable to machines through computer vision technology. This image annotation technique can also help machines to recognize the emotions of humans. Landmarking Annotation for Sports Analytics In Sports industry landmark annotation is used to recognize the poses of humans performing various types of actions. In landmark point annotation, the dots or points, the human postures or to detect the gestures with accuracy making the sports persons recognizable what action or pose performed. Anoytics provides the land mark annotation service with best level of accuracy to train the AI models developed for face recognition, human pose detection and sports analytics. It is expert is image annotation services with next level of accuracy to provide the best quality training datasets for machine learning and AI model development.
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