This repository provides a lightweight face detection model with two variants: version-slim (faster) and version-RFB (higher accuracy). The model achieves approximately 90-109 MFlops at 320x240 resolution and supports int8 quantization down to ~300KB. It exports to ONNX format and provides C++ inference implementations via MNN, NCNN, and Caffe frameworks alongside Python inference support for MNN.