Polygon annotation provides precise outlines for irregularly shaped objects, making it ideal for detailed image analysis. This technique is crucial when specific features, like edges or holes, need to be accurately captured to improve the quality of AI model training.
Question:
Why might polygon annotation be more effective than bounding boxes for objects with unusual shapes, and what are some potential challenges with this method?