hand-crafted descriptors

Hand-crafted descriptors refer to manually designed features or characteristics used to describe data in machine learning and computer vision tasks. These descriptors are often designed by human experts who have domain knowledge and understanding of the data being analyzed. Hand-crafted descriptors are used in contrast to automatically learned features, which are learned by neural networks or other machine learning algorithms. Hand-crafted descriptors can be very effective in certain scenarios, such as when the data being analyzed has well-defined and easily interpretable features. However, they can also be time-consuming to develop and may not be as effective in more complex or nuanced data sets.