Keypoint annotations are used to annotate a single pixel in the image, which has found its use in movement tracking and prediction, human body parts detection, gesture and facial recognition. Keypoints together could portray the object’s shape. They are commonly used in sports and security.
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Our in-house professionals, using our image annotation tools with built-in machine learning and multiple layers of quality control, create the tightest and most accurately bounding boxes for computer vision and deep learning applications.
Each pixel in an image is mapped into specific classes; for example 'cars' and 'pedestrians' in autonomous driving data.
Every pixel in an image is mapped to specific classes. Regularly used in drone and autonomous driving technology.
Each frame or key-frames annotated with or without object tracking.