mrgloom/Face-landmarks-detection-benchmark
Face landmarks(fiducial points) detection benchmark
This is a benchmark for evaluating how accurately different algorithms detect facial landmarks, also known as fiducial points. It takes in various face landmark detection models and measures their performance using metrics like point-to-point Euclidean error. This is for researchers and developers working on computer vision tasks involving facial analysis.
372 stars. No commits in the last 6 months.
Use this if you need to compare and evaluate the performance of different facial landmark detection algorithms or models against established metrics and datasets.
Not ideal if you are looking for a ready-to-use application to simply detect facial landmarks without needing to benchmark or compare different methods.
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Feb 04, 2021
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