Sorts your image at high speed

Emgu CV is a cross platform .Net wrapper to the OpenCV image processing library.

YoloDotNet - A C# .NET 8.0 project for Classification, Object Detection, OBB Detection, Segmentation and Pose Estimation in both images and videos.

The YOLIC Image Annotation Tool is a user-friendly software designed to support the You-Only-Look-at-Interested-Cells (YOLIC) methodology for real-time detection based on cell-wise segmentation.

Use YOLOv8 in real-time, for object detection, instance segmentation, pose estimation and image classification, via ONNX Runtime.

Experience, Learn and Code the latest breakthrough innovations with Microsoft AI

Real-time Texture Swapping with Unity

FormDetection_OCR is a Windows service for automating image processing, form detection, and text extraction using OCR. It effortlessly identifies forms, extracts text, and sends data to endpoints for further processing. With support for various folder watching modes and configurable settings, it streamlines document processing tasks seamlessly.

Simple console application to integrate DeepDanbooru and XnView

Classificationbox Toolkit - a .Net wrapper for Machine Box's Classificationbox service and a CLI program using it to train a model and sort image folders

A .NET image and video classifier used to identify explicit/pornographic content written in C#.

An ML.NET-based C# application demonstrating offline bitmap image classification using a Custom Vision ONNX model from Azure

BirdIdentifier is an ASP.NET Web API that uses machine learning to help users identify birds in their pictures.

A software solution that automates the detection and censorship of profanity words and sexual material in video content.

A software solution that automates the detection and censorship of profanity words and sexual material in video content

A software solution that automates the detection and censorship of profanity words and sexual material in video content.

A software solution that automates the detection and censorship of profanity words and sexual material in video content

This Unity package extends the functionality of the barracuda-inference-base package to perform image classification using computer vision models.

Create a dataset of images with and without a random whatermark, based on images downloaded from Pexels https://www.pexels.com/

The repository is focused on leveraging deep learning techniques to detect various brain pathologies from Magnetic Resonance Imaging (MRI) scans. The project involves using a convolutional neural network (CNN) to accurately identify and diagnose brain pathologies such as tumors, strokes, and hemorrhages.