LocalAI.Detector 0.7.2

dotnet add package LocalAI.Detector --version 0.7.2
                    
NuGet\Install-Package LocalAI.Detector -Version 0.7.2
                    
This command is intended to be used within the Package Manager Console in Visual Studio, as it uses the NuGet module's version of Install-Package.
<PackageReference Include="LocalAI.Detector" Version="0.7.2" />
                    
For projects that support PackageReference, copy this XML node into the project file to reference the package.
<PackageVersion Include="LocalAI.Detector" Version="0.7.2" />
                    
Directory.Packages.props
<PackageReference Include="LocalAI.Detector" />
                    
Project file
For projects that support Central Package Management (CPM), copy this XML node into the solution Directory.Packages.props file to version the package.
paket add LocalAI.Detector --version 0.7.2
                    
#r "nuget: LocalAI.Detector, 0.7.2"
                    
#r directive can be used in F# Interactive and Polyglot Notebooks. Copy this into the interactive tool or source code of the script to reference the package.
#:package LocalAI.Detector@0.7.2
                    
#:package directive can be used in C# file-based apps starting in .NET 10 preview 4. Copy this into a .cs file before any lines of code to reference the package.
#addin nuget:?package=LocalAI.Detector&version=0.7.2
                    
Install as a Cake Addin
#tool nuget:?package=LocalAI.Detector&version=0.7.2
                    
Install as a Cake Tool

LocalAI.Detector

Local object detection for .NET with automatic model downloading.

Features

  • Zero-config: Models download automatically from HuggingFace
  • GPU Acceleration: CUDA, DirectML (Windows), CoreML (macOS)
  • Apache-2.0 Licensed: RT-DETR models for commercial use
  • 80 COCO Classes: People, vehicles, animals, objects

Quick Start

using LocalAI.Detector;

// Load the default model
await using var detector = await LocalDetector.LoadAsync("default");

// Detect objects
var results = await detector.DetectAsync("photo.jpg");

foreach (var detection in results)
{
    Console.WriteLine($"{detection.Label}: {detection.Confidence:P1}");
    Console.WriteLine($"  Box: [{detection.Box.X1:F0}, {detection.Box.Y1:F0}]");
}

Available Models

Alias Model Size mAP Description
default RT-DETR R18 ~80MB 46.5 Best balance
fast EfficientDet-D0 ~15MB 33.8 Fastest inference
quality RT-DETR R50 ~170MB 53.1 Higher accuracy
large RT-DETR R101 ~300MB 54.3 Highest accuracy

GPU Acceleration

# NVIDIA GPU
dotnet add package Microsoft.ML.OnnxRuntime.Gpu

# Windows (AMD/Intel/NVIDIA)
dotnet add package Microsoft.ML.OnnxRuntime.DirectML
Product Compatible and additional computed target framework versions.
.NET net10.0 is compatible.  net10.0-android was computed.  net10.0-browser was computed.  net10.0-ios was computed.  net10.0-maccatalyst was computed.  net10.0-macos was computed.  net10.0-tvos was computed.  net10.0-windows was computed. 
Compatible target framework(s)
Included target framework(s) (in package)
Learn more about Target Frameworks and .NET Standard.

NuGet packages

This package is not used by any NuGet packages.

GitHub repositories

This package is not used by any popular GitHub repositories.

Version Downloads Last Updated
0.7.2 106 12/15/2025
0.7.1 109 12/15/2025
0.7.0 107 12/14/2025
0.6.0 108 12/14/2025