Feature mapping is a technique used in various fields, such as machine learning and data analysis, to identify and visualize the important characteristics of a dataset. By breaking down complex data into simpler components, feature mapping helps researchers and analysts understand patterns and relationships within the data. This process often involves selecting specific features that are most relevant to the problem being studied. In computer vision, for example, feature mapping can help identify key elements in images, such as edges, colors, or shapes. By focusing on these features, algorithms can be trained to recognize objects or classify images more effectively, leading to improved performance in tasks like image recognition and object detection.