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Bias in facial-recognition systems
Masupa David African Leadership Univerisity Department 2021
Abstract
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.
Metadata
Author Masupa David
Supervisor Mr. Tatenda. D. Kavu
Faculty COMPUTER SCIENCE
Department Not listed
Document type Final Year Project
Year 2021
Keywords Facial detection system, bias facial-recognition systems, bias facial-recognition, facial-recognition systems, systems, datasets, facial-recognition, final, examine, imbalanced
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