tiny - Tiny Face Detector, CVPR 2017

  •        101

By Peiyun Hu and Deva Ramanan at Carnegie Mellon University. Tiny Face Detector was initially described in an arXiv tech report.




Related Projects

android-face-detector - A real-time face detection Android library

  •    Kotlin

Face detector is a face detection Android library which can be easily plugged into any camera API (given it provides a way to process its frames). Face detector is built on top of Firebase ML Kit's face detection API.

Startrinity.com Silverlight realtime multiple face and feature points detector

  •    CSharp

StarTrinity.com face detection project makes it easier for Silverlight, .NET, Windows Phone 7 developers to detect faces from any image. Facial tracking algorithm is based on Haar features and adaboost training. It is developed in C#

pico - Pixel Intensity Comparison-based Object detection

  •    C

The pico framework is a modifcation of the standard Viola-Jones method. The basic idea is to scan the image with a cascade of binary classifers at all reasonable positions and scales. An image region is classifed as an object of interest if it successfully passes all the members of the cascade. Each binary classifier consists of an ensemble of decision trees with pixel intensity comparisons as binary tests in their internal nodes. This enables the detector to process image regions at very high speed.

SFD - S³FD: Single Shot Scale-invariant Face Detector, ICCV, 2017

  •    Matlab

S³FD is a real-time face detector, which performs superiorly on various scales of faces with a single deep neural network, especially for small faces. For more details, please refer to our arXiv paper. Download our trained model from GoogleDrive or BaiduYun, and merge it with the folder $SFD_ROOT/models.

jeelizFaceFilter - Javascript/WebGL lightweight face tracking library designed for augmented reality webcam filters

  •    Javascript

This JavaScript library detects and tracks the face in real time from the webcam video feed captured with WebRTC. Then it is possible to overlay 3D content for augmented reality applications. We provide various demonstrations using main WebGL 3D engines. We have included in this repository the release versions of the 3D engines to work with a determined version (they are in /libs/<name of the engine>/). This library is lightweight and it does not include any 3D engine or third party library. We want to keep it framework agnostic so the outputs of the library are raw: if the a face is detected or not, the position and the scale of the detected face and the rotation Euler angles. But thanks to the featured helpers, examples and boilerplates, you can quickly deal with a higher level context (for motion head tracking, for face filter or face replacement...). We continuously add new demontrations, so stay tuned ! Also, feel free to open an issue if you have any question or suggestion.

Pigo - Go implementation of Pico face detection library (Pico)

  •    Go

Pigo is a pure Go face detection library based on Pixel Intensity Comparison-based Object detection paper. The only existing solution for face detection in the Go ecosystem is using bindings to OpenCV, but installing OpenCV on various platforms is sometimes daunting. This library does not require any third party modules to be installed. However in case you wish to try the real time, webcam based face detection you might need to have Python2 and OpenCV installed, but the core API does not require any third party module or external dependency.


  •    Javascript

Simple Node.js API for robust face detection and face recognition. This a Node.js wrapper library for the face detection and face recognition tools implemented in dlib. Installing the package will build dlib for you and download the models. Note, this might take some time.

jeelizWeboji - JavaScript/WebGL real-time face tracking and expression detection library

  •    Javascript

With this library, you can build your own animoji embedded in Javascript/WebGL applications. You do not need any specific device except a standard webcam. By default a webcam feedback image is displayed with the face detection frame. The face detection is quite robust to all lighting conditions, but the evaluation of expression can be noisy if the lighting is too directional, too weak or if there is an important backlight. So the webcam feedback image is useful to see the quality of the input video feed.

lbpcascade_animeface - A Face detector for anime/manga using OpenCV


The face detector for anime/manga using OpenCV. Download and place the cascade file into your project directory.

fashion-detection - Fashion Detection in the Wild (Deep Clothes Detector)

  •    Matlab

Deep Clothes Detector is a clothes detection framework based on Fast R-CNN. Given a fashion image, this software finds and localizes potential upper-body clothes, lower-body clothes and full-body clothes in it, respectively. Further information please contact Ziwei Liu.

PCN - Progressive Calibration Networks (PCN) is an accurate rotation-invariant face detector running at real-time speed on CPU, published in CVPR 2018

  •    C++

Progressive Calibration Networks (PCN) is an accurate rotation-invariant face detector running at real-time speed on CPU. This is a binary library for PCN (the networks in FastPCN is smaller than PCN). In this implementation, we don't use network quantization or compression, and the program runs on CPU with a single thread. PCN is designed aiming for low time-cost. We compare PCN's speed with other rotation-invariant face detectors' on standard VGA images(640x480) with 40x40 minimum face size. The detectors run on a desktop computer with 3.4GHz CPU, GTX Titan X. The speed results together with the recall rate at 100 false positives on multi-oriented FDDB are shown in the following table. Detailed experiment settings can be found in our paper.

libface - Face Recognition Library

  •    C++

Libface is a cross platform framework for developing face recognition algorithms and testing its performance. The library uses OpenCV 2.0 and aims to be a middleware for developers that don’t have to include any OpenCV code in order to use face recognition and face detection detection.


  •    C++

SeetaFace Engine is an open source C++ face recognition engine, which can run on CPU with no third-party dependence. It contains three key parts, i.e., SeetaFace Detection, SeetaFace Alignment and SeetaFace Identification, which are necessary and sufficient for building a real-world face recognition applicaiton system. SeetaFace Detection implements a funnel-structured (FuSt) cascade schema for real-time multi-view face detection, which achieves a good trade-off between detection accuracy and speed. State of the art accuracy can be achieved on the public dataset FDDB in high speed. See SeetaFace Detection for more details.

device-detector - The Universal Device Detection library will parse any User Agent and detect the browser, operating system, device used (desktop, tablet, mobile, tv, cars, console, etc

  •    PHP

The Universal Device Detection library that parses User Agents and detects devices (desktop, tablet, mobile, tv, cars, console, etc.), clients (browsers, feed readers, media players, PIMs, ...), operating systems, brands and models. Instead of using the full power of DeviceDetector it might in some cases be better to use only specific parsers. If you aim to check if a given useragent is a bot and don't require any of the other information, you can directly use the bot parser.

Detector - Detector is a simple, PHP- and JavaScript-based browser- and feature-detection library that can adapt to new devices & browsers on its own without the need to pull from a central database of browser information

  •    PHP

Detector is a simple, PHP- and JavaScript-based browser- and feature-detection library that can adapt to new devices & browsers on its own without the need to pull from a central database of browser information. Detector dynamically creates profiles using a browser's (mainly) unique user-agent string as a key. Using Modernizr it records the HTML5 & CSS3 features a requesting browser may or may not support. ua-parser-php is used to collect and record any useful information (like OS or device name) the user-agent string may contain.

brfv4_javascript_examples - BRFv4 - HTML5/Javascript - examples project

  •    Javascript

It is a real time face detection and tracking SDK. You put in image data (camera stream or single picture) and it outputs facial data. This page also includes all available packages for download.

Face Detection For Windows Phone 7


A library for performing face detection on windows phone 7. This library uses the same algorithms and detection models as OpenCV and is written in C# and built for the Windows Phone. Also includes a camera user control that supports automated taking of photos and showing camer...

libfacedetection - An open source library for face detection in images

  •    C++

This is an open source library for CNN-based face detection in images. The CNN model has been converted to static variables in C source files. The source code does not depend on any other libraries. What you need is just a C++ compiler. You can compile the source code under Windows, Linux, ARM and any platform with a C++ compiler. SIMD instructions are used to speed up the detection. You can enable AVX2 if you use Intel CPU or NEON for ARM.

face-detection - Face Detection in JavaScript with getUserMedia

  •    Javascript

Face Detection in JavaScript with getUserMedia