FFHQ-Aging

FFHQ-Aging is a Dataset of human faces designed for benchmarking age transformation algorithms as well as many other possible vision tasks. This dataset is an extention of the NVIDIA FFHQ dataset, on top of the 70,000 original FFHQ images, it also contains the following information for each image:

• Gender information (male/female with confidence score)
• Age group information (10 classes with confidence score)
• Head pose (pitch, roll & yaw)
• Glasses type (none, normal or dark)
• Eye occlusion score (0-100, different score for each eye)
• Full semantic map (19 classes, based on CelebAMask-HQ labels)

Source: https://github.com/royorel/FFHQ-Aging-Dataset Image Source: https://github.com/royorel/FFHQ-Aging-Dataset