Creation of bounding boxes is one of the primary image annotation services offered by ImageAnnotation.ai. Bounding boxes are used to identify objects. Colored boxes are assigned to objects in the image, surrounding the object in question. This specifies where the network should be looking for the image, describing the object’s target location.
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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.