ansigtsgenkendelsessæt
Ansigtsgenkendelsessæt refers to a dataset used for training and evaluating facial recognition systems. These datasets consist of a large collection of images, each labeled with the identity of the person depicted. The primary purpose of an ansigtsgenkendelsessæt is to provide the raw material for machine learning algorithms to learn the distinctive features of human faces.
The construction of an ansigtsgenkendelsessæt involves acquiring images from various sources, such as public databases, social
Ansigtsgenkendelsessæt are essential for developing and testing the accuracy and robustness of facial recognition technologies. Researchers