Face Attributes Enhanced Dataset

Overview

The Face Attributes Enhanced Dataset expands on the original Face Attributes Grouped collection by incorporating additional images across various attribute categories. This dataset is meticulously curated to facilitate research and development in facial recognition and attribute detection technologies.

Dataset Details This enhanced dataset features images of human faces, categorized based on distinct facial attributes and accessories. It serves as a valuable resource for machine learning models focusing on attribute recognition and classification.

Dataset Structure

Images in this dataset are organized into attribute groups and corresponding anti-groups, which denote the absence of specific attributes:

Attribute Groups:

• Headtop: Includes 1,643 images featuring various headwear.
• Eyeglasses: Contains 387 images of individuals wearing eyeglasses.
• Sunglasses: Comprises 244 images with subjects donning sunglasses.
• Mouthmask: Features 234 images of faces with mouth masks.
• Facial Hair: Includes 606 images showcasing different styles of facial hair.

Anti-Groups:

• No Headwear: A collection of 1,828 images without any headwear.
• No Eyewear: Consists of 2,470 images of faces without glasses or sunglasses.
• No Facewear: Includes 2,446 images without any facial wear such as masks.
• No Accessories: Contains 440 images of faces devoid of any noticeable accessories.