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Computer vision ranges over several applications which also include the most recent recognition technologies. We process quality training data for recognition models by annotating images/videos of humans extracting various information like body presence, facial features, etc
We identify the presence of human faces in an image and label it using bounding box techniques.
We analyse facial features and annotate attributes like young, old, eyebrows, hairstyle, smile, etc. using various techniques.
Facial recognition enables a complete analysis of the human face. We label a person's facial features, expressions and emotions using key points to process training data for recognition models.
We label every human in a crowd using bounding boxes and returns the count of humans present in the frame.
We process quality training data for gender classification models by differentiating and labeling humans accordingly.
We analyse, label and track poses & gestures of persons in a video using key/skeletal points.
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