Polygon annotation is a precise and accurate process used to define the boundaries of an object or region in an image or video. It involves the use of a set of points connected by lines to form a closed shape, known as a polygon. This polygon then takes the shape of the object or region it surrounds, effectively marking objects in computer vision applications. Additionally, polygon annotation offers more detailed identifying information than other methods, such as bounding boxes or circles, as it allows for more complex shapes to be created. This can be particularly useful when working with objects or regions that possess irregular or partially occluded shapes.
Polygon Use Cases:
- Image segmentation is one of the most common use cases of polygon annotation. In this, an image is divided into different segments. This helps in recognizing objects, classification, and processing images.
- Polygon annotation also helps identify the class and location of objects within an image. This is useful for working of autonomous vehicles, security systems, and robotics.
- In Radiology, polygon annotation identifies and labels structures and abnormalities within an image or a scan. This is useful in the diagnosis of diseases, particularly cancer. It also helps in surgical planning.
- Polygon annotation helps identify and label grasslands, forests, and urban areas. This assists in monitoring the environment and managing resources.
- Geologists use polygon annotation to create spatial data and maps that can be used in GIS applications such as urban planning, environmental analysis, and disaster management.
- Polygon annotation is also used in computer vision research to help with ground truth data for training and evaluating machine learning models.
