tulsyanp/tcd-ai-group-project
Face Recognition with SVM classifier using PCA, ICA, NMF, LDA reduced face vectors
This project helps with recognizing faces from a collection of images using various machine learning techniques. You input a dataset of labeled face images, and it outputs a classification report indicating how accurately each technique identifies faces. This would be used by a machine learning practitioner or researcher interested in comparing different face recognition algorithms.
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Use this if you are a machine learning student or researcher looking to experiment with and compare PCA, ICA, NMF, and LDA for face recognition.
Not ideal if you need a ready-to-deploy face recognition system for a real-world application or are not familiar with running Python scripts.
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Language
Python
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Last pushed
Nov 22, 2022
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