Abstract
There are multiple technological ways to identify humans and verify claimed identities. The dataset presented herein facilitates work on hard and soft biometric human identification and identity verification. It is comprised of full-body images of multiple fully clothed males from a constrained age range. The images have been taken from multiple perspectives with varied lighting brightness and temperature.
Highlights
Is of subjects that are all male and of similar ages; many have a similar build
This article describes a dataset that can be used to evaluate the performance of human identification and classification systems
A Canon T5i with its stock lens was used to take the images in this dataset
Summary
A variety of techniques exist for visually detecting humans and identifying particular individuals. The use of techniques to detect gender [18,19,20], age [19] and other characteristics from visual data has been demonstrated. Facilitates the testing of human body identification and verification algorithms and the comparison of performance between such algorithms. Provides data to analyze algorithm performance under different lighting brightness conditions and temperatures, in addition to subject perspective. Is of subjects that are all male and of similar ages; many have a similar build. This facilitates testing of the algorithm’s ability to identify individuals from other similar individuals
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