AIZOOTech/FaceMaskDetection

Health v2 · maintenance only

Flags: no_releases

Adoption not part of the score

2125 stars · 615 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

An open-source face mask detection project providing a lightweight SSD-based model (1.01M parameters) with inference code for PyTorch, TensorFlow, Keras, MXNet, Caffe, PaddlePaddle, and OpenCV DNN. It also releases a 7,971-image training dataset built from WIDER Face and MAFA, plus a browser demo via TensorFlow.js.

Use cases

• detect whether people in images or video are wearing face masks
• run face mask detection across multiple deep learning frameworks
• deploy a lightweight face mask detector in the browser
• train or fine-tune a face mask detection model on a labeled dataset
• run real-time mask detection from a webcam

When to choose

• you need a small, fast face mask detection model with multi-framework inference support
• you want a ready-made labeled dataset of masked and unmasked faces
• you need to run inference on images, video, or webcam streams

When to avoid

• you need general face recognition or identity detection
• you need state-of-the-art accuracy on modern detectors rather than a COVID-era lightweight model
• you need actively maintained code with recent updates

Facets

library · maturity maintenance

machine-learning deep-learning computer-vision image-processing computer-vision deep-learning machine-learning python cross-platform browser face-detection face-mask-detection ssd inference covid-19 pretrained-model tensorflow pytorch keras caffe mxnet paddlepaddle opencv-dnn dataset

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markdown · JSON · MCP: product_card(name="AIZOOTech/FaceMaskDetection")