Improving Efficiency in Facial Recognition Tasks Through a Dataset Optimization Approach

It is well known that the performance of Machine Learning techniques, notably when applied to Computer Vision (CV), depends heavily on the amount and quality of the training data set. However, large data sets lead to time-consuming training loops and, in many situations, are difficult or even imposs...

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Bibliographic Details
Main Authors: Luis Vilca, Paula Viana, Pedro Carvalho, Maria Teresa Andrade
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/10452341/