Experience, Learn and Code the latest breakthrough innovations with Microsoft AI
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Updated
Jun 26, 2024 - C#
Experience, Learn and Code the latest breakthrough innovations with Microsoft AI
Perception toolkit for sim2real training and validation in Unity
CodeProject.AI Server is a self contained service that software developers can include in, and distribute with, their applications in order to augment their apps with the power of AI.
C# Yolo Darknet Wrapper (real-time object detection)
An easy to use C# deep learning library with CUDA/OpenCL support
YoloDotNet - A C# .NET 8.0 project for Classification, Object Detection, OBB Detection, Segmentation and Pose Estimation in both images and videos.
SynthDet - An end-to-end object detection pipeline using synthetic data
YOLOv5 object detection with C#, ML.NET, ONNX
This repository provides you with an easy-to-use labeling tool for State-of-the-art Deep Learning training purposes. It supports Auto-Labeling.
Unity's privacy-preserving human-centric synthetic data generator
🚀 Use YOLO11 in real-time for object detection tasks, with edge performance ⚡️ powered by ONNX-Runtime.
Localize 2D image object detection in 3D Scene with Yolo in Unity Barracuda and ARFoundation.
A highly extensible software stack to empower everyone to build practical real-world live video analytics applications for object detection and counting with cutting edge machine learning algorithms.
An example of using Tensorflow with Unity for image classification and object detection.
.NET Standard bindings for Apache MxNet with Imperative, Symbolic and Gluon Interface for developing, training and deploying Machine Learning models in C#. https://mxnet.tech-quantum.com/
An example of using Tensorflow and ONNX models with Unity Barracuda inference engine for image classification and object detection.
Demo of implement YOLO v3 with OpenCvSharp v4 on C#
This project is part of the CS course 'Systems Engineering Meets Life Sciences I' at Goethe University Frankfurt. In this Computer Vision project, we present our first attempt at tackling the problem of traffic sign recognition using a systems engineering approach.
YoloCSharp is a cross platform wrapper of Yolo/Darknet for .Net Standard 2.0
Road markings detection using yolov5 model based on ONNX
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