Semi-automatic annotation interpolation is a technique used in image labeling where an algorithm is used to automatically generate annotations for some parts of an image while the user manually labels the remaining parts. The algorithm typically makes an initial guess at the labels for unannotated areas of the image based on the labels of nearby annotated areas. The user can then review and refine the automatically generated labels, correcting any errors or inconsistencies.The goal is to reduce the time and effort required for manual annotation while still achieving accurate labeling. This approach is particularly useful when annotating large datasets, where manually labeling every image may be impractical or too time-consuming.