Combining semantic and instance segmentation results with panoptic segmentation. Semantic segmentation is used to label “stuff” - objects harder to quantify, and instance is used to label “things” - objects that could have more than 1 countable instance. Having stuff and things in the same image is provided by an image annotation method called panoptic segmentation.
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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.