SPECFACE - A Dataset of Human Faces Wearing Spectacles

TL;DR

This paper introduces SPECFACE, a diverse dataset of 60 human faces wearing spectacles, designed to aid development and evaluation of face and eye detection algorithms in varied conditions.

Contribution

The paper provides a new, comprehensive dataset of faces with spectacles, covering variations in illumination, pose, and expressions, to support computer vision research.

Findings

Dataset includes diverse facial variations and spectacles types.

Useful for improving face and eye detection algorithms.

Facilitates research in head tracking and gaze estimation.

Abstract

This paper presents a database of human faces for persons wearing spectacles. The database consists of images of faces having significant variations with respect to illumination, head pose, skin color, facial expressions and sizes, and nature of spectacles. The database contains data of 60 subjects. This database is expected to be a precious resource for the development and evaluation of algorithms for face detection, eye detection, head tracking, eye gaze tracking, etc., for subjects wearing spectacles. As such, this can be a valuable contribution to the computer vision community.