tulsyanp/tcd-ai-group-project

Face Recognition with SVM classifier using PCA, ICA, NMF, LDA reduced face vectors

27
/ 100
Experimental

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.

No commits in the last 6 months.

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.

face-recognition machine-learning-research image-classification dimensionality-reduction computer-vision
No License Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 5 / 25
Maturity 8 / 25
Community 14 / 25

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Stars

12

Forks

3

Language

Python

License

Last pushed

Nov 22, 2022

Commits (30d)

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