There are 2 repositories under mlkit-face-detection topic.
⚡️ ML Kit plugins for Capacitor. Supports Android and iOS.
This is a sample app built to demonstrate the use of MLKit Face detection. Dedicated to all Android Developers with heart.
A demo app for various Firebase ML-Kit vision functionalities 🕵️♀️
All Android Applications using Google MLKit [Java & Kotlin]
I built this app using Mlkit along with the TensorFlow Lite model for object detection, Arcore is used to place anchors to the detected objects. It's a good blend of Machine learning and Augmented reality to visualise ML information in a much better way than regular bounding boxes
Face Recognition (Identification) for Android Devices. Used Firebase ML Kit Face Detection for detecting faces, then applied arcface MobileNetV2 model for recognition
Arcore ml kit integration without sceneform to detected multiple objects in a signle frame and place 3d labels on them
React Native library to simplify the integration of AI and ML features into your mobile app.
An Android application performing recognition of facial emotions on an image
SmartLens uses Google's ML Kit for Barcode scanning, Face recognition, Text recognition, and Image labeling.
A demo app using MVI, master-detail, SQLDelight, Hilt, Material Design, Navigation Component, Shared Element Transition, Coil, and MLKit face detection.
ML Kit Face Detection in Flutter Example
An attendance app that can be used to take attendance based on facial recognition and geolocation based authentications.
Android application which detects human faces and classifies them under wearing a face mask or not
CameraX + ML Kit = ❤️
stripped only Face Detection part out of vision quick start sample of Firebase ML Kit
Face detection and Recognize and extract text from images
O app consegue detectar rostos humanos e capturar informações sobre o rosto.
This React Native app is designed for marking attendance, utilizing both geolocation and face recognition technology. The app uses the device's GPS to verify the user's location and then employs facial recognition software to verify the user's identity.
TailorMade is a mobile application which connects customer with tailors and fashion designers, so every customer will be able to get the clothes he/she want faster.This repository includes the mobile Android application.
An application that recognizes the user's face by the front camera of a cell phone, uses the angles of the device to balance it in front of the user's face.
This Android project demonstrates real-time face detection using ML Kit's Face Detection API, integrated into an app built with Kotlin and Jetpack Compose. The app captures images from the camera and highlights detected faces on the camera preview. It showcases modern Android techniques with CameraX for camera integration and Jetpack Compose
FaceDetectionAI android application
Sample app to demonstrate MLKit Face detection with CameraX in Compose.
스마트 교정기 & 교정 관리 애플리케이션
This is an android app that is created to understand the implementation of ML-Kit in Android
Using ML Kit's face detection API, this app will detect faces in an image, identify key facial features, and get the contours of detected faces.
Android face detection attendance tracker with chat feature.
An Expo module that uses device's front camera and MLKit to detect faces
WPI CS528 (Mobile and Ubiquitous Computing) AI Project 2: Creating "Crime Database" App for Android using Kotlin — Learning about Fragments, CoRoutines/Async, Room Databases. Following directions from Android Programming: The Big Nerd Ranch Guide, 5th Edition
A React Native Expo application using Expo Camera and Face Detection to guide users through commands and track their face live.
Smile Detection application is the android application project that is powered by Firebase ML Kit for detection of face and smiling probability of the person.
The app will detect the mood of a person by image . In Backend the app is integrated with firebase ML kit Image Recognition.