now on
: Contains images of 1,040 individuals (595 males and 445 females).
The database was developed by the Joint Research & Development Laboratory (JDL) of the Chinese Academy of Sciences (CAS). Its primary purpose is to provide researchers with a robust dataset for training and testing algorithms against real-world visual challenges. Core "PEAL" Features
: The full database includes 99,594 images, while a publicly available subset called CAS-PEAL-R1 contains 30,900 images.
: Images are captured from multiple angles using a horizontal semicircular camera array to simulate different head rotations.
: Subjects are photographed wearing different accessories, including various pairs of glasses and different types of caps.
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.
: Includes various facial expressions such as neutral, smile, surprise, frown, and closed eyes.
: Contains images of 1,040 individuals (595 males and 445 females).
The database was developed by the Joint Research & Development Laboratory (JDL) of the Chinese Academy of Sciences (CAS). Its primary purpose is to provide researchers with a robust dataset for training and testing algorithms against real-world visual challenges. Core "PEAL" Features
: The full database includes 99,594 images, while a publicly available subset called CAS-PEAL-R1 contains 30,900 images. Cas Peal
: Images are captured from multiple angles using a horizontal semicircular camera array to simulate different head rotations.
: Subjects are photographed wearing different accessories, including various pairs of glasses and different types of caps. : Contains images of 1,040 individuals (595 males
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. Core "PEAL" Features : The full database includes
: Includes various facial expressions such as neutral, smile, surprise, frown, and closed eyes.