Polygon Annotation

Polygon annotation, the process of outlining objects in images using polygons, is crucial for training computer vision models, particularly in instance segmentation. Current research focuses on improving annotation efficiency and accuracy, addressing challenges like inherent human variability and the difficulty of annotating objects with disconnected parts. This involves developing interactive annotation tools and algorithms, such as graph convolutional networks, that leverage contextual information to guide polygon placement and improve the precision of annotations. Ultimately, advancements in polygon annotation directly impact the performance and reliability of object detection and segmentation models across various applications.