Shape Context is a method used in computer vision and shape analysis to describe the shape of an object based on its contour. It captures the distribution of points around a shape by creating a histogram that represents the relative positions of points in relation to a reference point. This allows for a comprehensive representation of the shape's geometry. The Shape Context technique is particularly useful for shape matching and recognition tasks. By comparing the shape contexts of different objects, algorithms can identify similarities and differences, enabling applications in areas like object recognition and image retrieval.