The repository implements the MTCNN architecture for joint face detection and alignment. It uses a cascade of three CNN stages (P-Net, R-Net, O-Net) that progressively refine detection results from coarse to fine. The MATLAB implementation relies on Caffe for the backend computation, supporting GPU acceleration via CUDA. The system detects faces and extracts facial landmarks in images.