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Experience, Learn and Code the latest breakthrough innovations with Microsoft AI
AI-in-a-Box leverages the expertise of Microsoft across the globe to develop and provide AI and ML solutions to the technical community. Our intent is to present a curated collection of solution accelerators that can help engineers establish their AI/ML environments and solutions rapidly and with minimal friction.
Open Toolkit for Painless Object Detection
Proof of concept of a mixed reality application for the Microsoft HoloLens 2 integrating object recognition using cloud computing and real-time on-device markerless object tracking. The augmented objects provide interaction using hand input, eye-gaze, and voice commands to verify the tracking result visually.
Hunt is a virtual scavenger hunt app where players can join a game, select a team and solve hints to acquire treasure. The team with the most points wins.
A simple face recognition using ESP32 Microcontroller with camera, and leveraging cloud-based inference powered by Azure Custom Vision.
Workshop for student hackathons focused on Power Apps
Códigos em Node.js da Maratona Bots
This app recognises 3 hand signs - fist, high five and victory hand [ rock, paper, scissors basically :) ] with live feed camera. It uses a HandSigns.mlmodel which has been trained using Custom Vision from Microsoft.
A Xamarin.Forms app for UWP, Android & iOS showcasing how to use Custom Vision Service with either online and offline models.
HoloHelp: HoloLens Object Detection for a Guided Interaction
Face detection using K210 MCU and Maixduino, then leveraging Azure Face API for age, gender, emotion recognition
HoloLens Custom Vision demo
An Application that can control a timer with just a Look at your hand. Not Kidding...Seriously.
Code samples and resources for Azure AI and Cognitive Services.
The Vitastic solution accelerator provides a pre-packaged solution to build web interfaces that serve object detection models deployed in Azure ML or Custom Vision with customizable themes.
Use Microsoft Custom Vision to create an object detection model and place into this repo to create a Flask app that runs a local service in a docker container.
Repository for Random Experiments and Discoveries
Serverless Solution of Predicting Accuracy of your ladoos, using Custom Vision API and Azure Functions
R interface to the Computer Vision API