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Polylines
Polylines are a type of geometric object that consist of a series of connected line segments. They are often used in computer graphics and computer vision applications to represent complex shapes or contours, such as those found in maps or images.
Polylines are made up of a series of points or vertices, which are connected by straight lines to form a continuous path. Each point or vertex in the polyline represents a specific location in space, and the line segments between the vertices represent the path taken between those locations. These can be closed or open. A closed polyline is one where the last point is connected to the first point, forming a closed loop. An open polyline, on the other hand, does not connect the last point to the first point, and thus remains an open path.
In computer vision applications, polylines can be used to represent the boundaries of objects or regions of interest within an image. For example, in image segmentation, polylines can be used to outline the boundaries of regions within an image, which can then be used to separate those regions from the rest of the image.
Panoptic segmentation annotation is the process of manually labelling each pixel in an image or video to identify and segment all objects using both instance and semantic segmentation techniques. It is a labour-intensive process that requires trained annotators to use specialized tools to annotate each pixel according to its corresponding object class.
During the annotation process, annotators must identify and label each object individually, assigning unique identifiers to each object, while also assigning labels to each pixel in the image based on its object class. This combination of instance and semantic segmentation is necessary to ensure that all objects are correctly labelled and segmented in the resulting dataset.
Overall, panoptic segmentation annotation is a critical step in generating accurate datasets for training models to perform panoptic segmentation and can be used for a variety of purposes, such as improving accessibility for visually impaired users or automatically tagging and categorizing content on a website.
Skeleton annotation is a type of image or video annotation that involves identifying and annotating the skeletal structure of an object or animal in an image or video. This type of annotation is often used in computer vision applications such as animal behaviour analysis, medical imaging, and robotics.
During the annotation process, trained annotators use specialized tools to identify and mark the key points that make up the skeletal structure of the object or animal in the image or video. These key points are typically referred to as “joints” or “landmarks” and are annotated using specific labels or colours to indicate their location and connectivity.
Once the skeletal structure is annotated, it can be used to analyse the movement or behaviour of the object or animal. For example, in medical imaging, skeleton annotation can be used to analyse joint mobility or bone alignment, while in robotics, it can be used to program movements for robots that mimic human or animal motion.