Face Detection
Showing 36 of 38 projects
A simple Python library and CLI tool for facial recognition, detection, and feature manipulation using dlib's deep learning models.
A JavaScript API for face detection, recognition, and analysis in the browser and Node.js using TensorFlow.js.
A high-performance CNN-based face detection library written in pure C++ with SIMD optimizations, achieving up to 1000 FPS.
A deprecated React Native camera component with barcode scanning capabilities.
A lightweight JavaScript library for real-time computer vision in the browser, including color tracking and face detection.
A free, open-source, self-hosted face recognition system with REST API for detection, verification, and analysis.
A curated collection of academic papers covering all aspects of face analysis, including detection, recognition, alignment, generation, and anti-spoofing.
OpenCV bindings for Node.js enabling real-time computer vision applications in JavaScript.
A Swift extension for UIImageView that automatically detects and focuses on faces within images, preventing awkward cropping.
A deep learning-based facial detection library for Python with facial landmark extraction.
A computer vision library for human-computer interaction, focusing on head pose estimation, gaze direction, skin detection, motion tracking, and saliency mapping using CNNs.
Damselfly is a server-based Photograph Management app. The goal of Damselfly is to index an extremely large collection of images, and allow easy search and retrieval of those images, using metadata such as the IPTC keyword tags, as well as the folder and file names. Damselfly includes support for object/face detection.
Dockerized application that resizes and crops images on the fly, delivering optimized images in formats such as AVIF, WebP, MozJPEG, or PNG using ImageMagick, with an efficient caching system.
A curated list of face-related algorithms, datasets, papers, and open-source libraries for computer vision research.
A Ruby wrapper for OpenCV, enabling computer vision and image processing in Ruby applications.
An open-source iOS camera library that simplifies camera integration with high performance and built-in features.
A Caffe implementation of MTCNN for joint face detection and alignment using a multi-task cascaded convolutional neural network.
A Swift library that uses iOS 11 Vision API to automatically detect and crop faces from images.
A Flutter plugin for barcode scanning, text recognition (OCR), and face detection using Google Mobile Vision APIs.
A Swift library for detecting and cropping faces, barcodes, and text in images using iOS 11 Vision API.
A Flutter widget that displays a camera preview and performs real-time ML vision recognition using Firebase ML Vision.
An iOS library that uses face detection to calculate device distance and angle relative to a user's face for interactive 3D effects.
A Docker container for face detection using Faster R-CNN deep learning, processing videos and images with bounding box outputs.
A curated archive of pre-trained computer vision models for object detection, face recognition, fire detection, and more.
A ROS wrapper for the NCNN neural inference framework, enabling real-time neural network inference on robotic systems.
A Blazor library that provides easy access to ML5.js machine learning models via JavaScript Interop.
A CGImage extension that uses Apple's Vision Framework to detect and center faces in images.
A Godot engine module for real-time head tracking using OpenCV with GPU acceleration for immersive 3D perspective.
A sample iOS app that uses IBM Cloud Functions and Watson Visual Recognition to automatically tag images and detect faces.
A lightweight JavaScript/WebGL library for real-time face detection, depth estimation, and 3D face insertion in the browser.
An iOS framework that automatically takes a selfie using the front camera when a face is detected.
Interactive tutorial for learning face detection and recognition with hands-on code samples using local AI.
A standalone open-source software solution for DIY video security with computer vision, local storage, and no monthly fees.
A Caffe-based deep learning model for face detection with pre-trained weights and training scripts.
MicroPython binding for ESP-DL models enabling face detection, recognition, human detection, cat detection, and image classification on ESP32 devices.
A Capacitor plugin for Google ML Kit Vision, enabling on-device face detection and facial feature analysis in mobile apps.
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