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Researchers use this data to benchmark various algorithms, including Principal Component Analysis (PCA) and Local Binary Patterns (LBP) , ensuring they can handle the diverse conditions found in practical applications.
: The dataset provides metadata such as eye positions, face pose angles, and expression labels to help refine detection systems.
: Images are captured from multiple angles using a horizontal semicircular camera array to simulate different head rotations. Cas Peal
: Contains images of 1,040 individuals (595 males and 445 females).
: Includes various facial expressions such as neutral, smile, surprise, frown, and closed eyes. Researchers use this data to benchmark various algorithms,
The database systematically varies images across these categories:
is a large-scale Chinese face database created to evaluate face recognition algorithms, specifically focusing on four key types of variations known as PEAL : P ose, E xpression, A ccessories, and L ighting . : Contains images of 1,040 individuals (595 males
: Subjects are photographed wearing different accessories, including various pairs of glasses and different types of caps.