<?xml version="1.0" encoding="UTF-8"?><record xmlns:dc="http://purl.org/dc/elements/1.1/"><dc:title>Bias in facial-recognition systems</dc:title><dc:creator>Masupa David</dc:creator><dc:publisher>African Leadership Univerisity</dc:publisher><dc:date>2021</dc:date><dc:description>This project aims to examine the impact of imbalanced datasets on the accuracy of facial-detection systems, focusing on the training of models with different datasets.</dc:description><dc:subject>Facial detection system, bias facial-recognition systems, bias facial-recognition, facial-recognition systems, systems, datasets, facial-recognition, final, examine, imbalanced</dc:subject><dc:type>Final Year Project</dc:type><dc:identifier>https://inrepscholar.com/african-leadership-univerisity/projects/1001</dc:identifier><dc:rights></dc:rights></record>