YoloSharp

Visit Tool

YoloSharp is an AI Frameworks & Infra tool that provides a high-performance real-time object detection solution. It supports various YOLO vision tasks, including detect, OBB, pose, segment, and classify, powered by ONNX-Runtime.

Claim this tool

No Views Yet

At a glance

Pricing

Open Source

Free tier

Yes

API

Yes

Skill level

Technical

About

What is YoloSharp?

YoloSharp offers a high-performance, real-time object detection solution built on YOLO11 and powered by ONNX-Runtime. It supports a comprehensive range of YOLO vision tasks, including detection, oriented bounding box (OBB), pose estimation, segmentation, and classification. The tool leverages various .NET features to maximize performance and optimize memory usage by reusing memory blocks and reducing garbage collection pressure. YoloSharp provides NuGet packages for both CPU-based and GPU-based inference, along with a core library for lightweight production. It also includes plotting options to visualize model results directly on target images, making it a robust solution for developers working with real-time object detection.

Best used for

Ideal for developers and data scientists who need to implement high-performance, real-time object detection in their applications. Especially valuable for integrating various YOLO models (v8, v10, v11, v12, v26) into .NET projects and visualizing prediction results efficiently.

Common actions

implement object detection

integrate YOLO models

optimize computer vision

visualize model predictions

face swapping"AI Agents"github copilotlow-code/no-codeopen-sourcedeepfakecollaborationworkflowsautomated workflow

Capabilities

Key features

YOLO vision task support
High performance
Reduced memory usage
Plotting options
YOLOv8/10/11/12/26 support
ONNX-Runtime powered

Target Audience

developerdata scientist

Integrations

Not yet documented

Pricing & Plans

Open Source

Free

FAQs

What YOLO versions does YoloSharp support?

YoloSharp provides support for a wide range of YOLO versions, including YOLOv8, YOLOv10, YOLO11, YOLO12, and YOLO26. This allows developers to work with various model architectures for their object detection tasks.

Does YoloSharp support both CPU and GPU inference?

Yes, YoloSharp offers NuGet packages for both CPU-based and GPU-based inference. This flexibility allows users to choose the appropriate package based on their hardware capabilities and performance requirements for real-time object detection.

Can YoloSharp visualize the detection results?

YoloSharp includes plotting options that enable users to draw predictions directly onto the target image. This feature is useful for previewing model results and visually verifying the accuracy of object detection, pose estimation, or segmentation.

Trending

Subcategories trending in AI Agents & Automation

Chatbots & Conversational AI General-Purpose Agents Workflow Agents Personal Assistants RAG & Document AI Voice Agents

Trending

Also listed in

This tool also appears in

Coding & Development › Open Source & Models

Explore

Browse AI tools by category

Content & Design Productivity & Business Coding & Development AI Agents & Automation Research & Education Wellness & Lifestyle Career Development Marketing & Growth Data & Analytics Customer Support & CX Finance E-commerce