MTCNN Face Detection

Face detection and landmark localisation using deep learning.
1.1K Downloads
Updated 3 Mar 2021

Editor's Note: This file was selected as MATLAB Central Pick of the Week

This repository implements deep learning based face detection and facial landmark localisation using Multi-Task Cascaded CNNs.
For more details see the GitHub repository: https://github.com/matlab-deep-learning/mtcnn-face-detection

Cite As

Justin Pinkney (2024). MTCNN Face Detection (https://github.com/matlab-deep-learning/mtcnn-face-detection/releases/tag/v1.2.4), GitHub. Retrieved .

MATLAB Release Compatibility
Created with R2020b
Compatible with R2019a and later releases
Platform Compatibility
Windows macOS Linux

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

code/mtcnn/doc

Versions that use the GitHub default branch cannot be downloaded

Version Published Release Notes
1.2.4

See release notes for this release on GitHub: https://github.com/matlab-deep-learning/mtcnn-face-detection/releases/tag/v1.2.4

1.2.3

See release notes for this release on GitHub: https://github.com/matlab-deep-learning/mtcnn-face-detection/releases/tag/v1.2.3

1.2.2

Fixes bug in relative ordering of boxes and landmarks as well as potential error when there are overlapping boxes (#17)

1.2.1

Fixes bug when using UseGPU=True with UseDagNet=True (i.e. R2019a support) (#12)

1.2.0

- Adds support for R2019a
- detect and detectFaces functions accept uint8, single, and double image types
- fixes a bug in proposeRegions for certain image sizes.

1.0.1.0

See release notes for this release on GitHub: https://github.com/matlab-deep-learning/mtcnn-face-detection/releases/tag/v1.0.1

1.0

To view or report issues in this GitHub add-on, visit the GitHub Repository.
To view or report issues in this GitHub add-on, visit the GitHub Repository.