A collection of sample apps to demonstrate how to use Google's ML Kit APIs on Android and iOS

🌝 MLKit是一个强大易用的工具包。通过ML Kit您可以很轻松的实现文字识别、条码识别、图像标记、人脸检测、对象检测等功能。

Marvel - Face Recognition With Android & OpenCV

📷 Object detection with OpenCV on Java. DNN, HaarCascade, Template Matching, Color Detection etc.

Making custom object detector using Yolo (Java and Python)

This is sample code for object detection using OpenCV on android

A cnn framework on Android platform, implemented with RenderScript and java, support MobileNet-SSD and faster-rcnn. No JNI/C++ or thirdparty dependencies.

Java免费离线AI算法工具箱，支持人脸识别(人脸比对，人脸库查询(Milvus/SQLite)，人脸属性检测，活体检测)、目标检测(支持 YOLO，SSD、自训练模型)、OCR文字识别、机器翻译（200+语言翻译）等功能，致力于为开发者提供开箱即用的 AI 能力，无需 Python 环境，Maven 引用即可使用。已集成 SeetaFace6、YOLOv8、PaddleOCR 等主流模型

Java Autonomous Driving Appplication. Real time video car,pedistrians detection

A demo app for various Firebase ML-Kit vision functionalities 🕵️‍♀️

Deploying Android application for object detection

Real-time object detection on Android for easy calorie tracking.

Real time object detection Android application using OpenCV 4.1 and YOLOv3.

Offline Android application for detecting license plates in cars and recognizing their content in real time with Tensorflow model

Image SSD object detection in Java using Tensorrflow

This program shows how Bounding-Box-Regression works in a visual form. Intersection over Union ( IOU ), Non Maximum Suppression ( NMS ), Object detection, 边框回归，边框回归可视化，交并比，非极大值抑制，目标检测。

A marklerless augmented reality platform for Android powered by OpenCV.

Spring Boot and Tensorflow demos for Image-Recognition, Pose-Estimation, Object-Detection, Instance-Segmentation

The project is made to help android developers understand and implement machine learning(ML) Kit provided by Firebase 🔥 as one of its features

Android Application to Guide Blind People