# kpzhang93/MTCNN_face_detection_alignment

Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Neural Networks

Repository: https://github.com/kpzhang93/MTCNN_face_detection_alignment
Canonical: https://ross.abutalabs.com/products/mtcnn_face_detection_alignment
Language: MATLAB
License: MIT
License Family: permissive
Last push: 2022-10-11T07:35:47+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 3629, "days_push": 1422, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 2862, forks 979 (observed 2026-08-28T04:07:26.271931+00:00)

## What it is
Reference MATLAB/Caffe implementation of MTCNN, a multi-task cascaded convolutional neural network for joint face detection and facial landmark alignment. It is the official code accompanying the 2016 IEEE SPL paper of the same name.

## Use cases
- detect faces in images with a CNN
- find facial landmarks for face alignment
- preprocess faces for a face recognition pipeline
- reproduce MTCNN paper results
- run face detection on GPU with Caffe

## When to choose
- you need the original reference implementation of MTCNN
- your stack is MATLAB with Caffe
- you want a well-cited baseline for face detection and alignment research

## When to avoid
- you want a maintained Python or PyTorch implementation instead
- you need production deployment without MATLAB/Caffe dependencies
- you need active development or recent bug fixes

## Facets
- artifact type: library
- maturity: maintenance
- function: machine-learning, deep-learning, computer-vision, image-processing
- domain: computer-vision, deep-learning, machine-learning, image-processing
- platform: windows, cpp
- tags: face-detection, face-alignment, mtcnn, cascaded-cnn, caffe, landmark-detection, research-code, linux, matlab, gpu

## Member repositories
- kpzhang93/MTCNN_face_detection_alignment (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:07:26.271931+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T07:36:22.334548+00:00, confidence not recorded.
  - readme: https://github.com/kpzhang93/MTCNN_face_detection_alignment (fetched 2026-08-28T04:07:26.271931+00:00, sha 34c255d8e510)
- Data as of 2026-08-30T08:39:29.467469+00:00.