AI.Facial.Emotion 25.3.26

AI.Facial.Emotion

AI.Facial.Emotion is a .NET library for analyzing facial attributes, including emotion. It seamlessly integrates with C#.NET, providing efficient and secure facial analysis with embedded AI models. Ideal for chatbots, customer insights, security, and healthcare applications.

🚀 Demo: My demo website is hosted on Azure (FREE SKU) here

🚀 Features

• Emotion Detection – Recognizes emotions such as happiness, sadness, anger, surprise, and more.
• Optimized for .NET – Fully compatible with .NET 6, .NET 8, .NET 9 and .NET 10.
• Easy Integration – Works seamlessly with ASP.NET Web APIs, Windows Application, allowing quick integration into existing projects.
• Supports multiple input formats: URL, Base64, File Stream

⚡ Release note

25.3.26:
 + Optimized for performance in compliance with the latest .NET 10 and C# 14.
 + All subsequent versions starting from version 25.3.26-net10 only support .NET 10. If you are using an older version of .NET, please choose version 25.3.16.
25.3.16 Support for the newly released .NET 9 and .NET 10
25.3.11 Update the Readme
25.3.4.2231. Allow user can adjust the Target hardware like CPU, CUDA
25.3.4. Allow user can adjust the threshold, topK and nms
25.3.3. Improve the performance

📦 Installation

You can install this library via NuGet Package Manager:

dotnet add package AI.Facial.Emotion

📦 Mandatory ingredients

• If your server runs windows operating system

dotnet add package Emgu.CV.runtime.windows

• If your server runs ubuntu operating system

dotnet add package Emgu.CV.runtime.ubuntu-x64

⚡ Usage

For example

1️⃣ Analyze emotion from an image URL

using AI.Facial.Emotion;

var analyzer = new EmotionAnalyzer();
var result = await analyzer.AnalyzeEmotionFromUrlAsync("https://example.com/image.jpg");

Console.WriteLine($"Emotion: {result}");

2️⃣ Analyze emotion from a Base64 image string

var base64Image = "iVBORw0KGgoAAAANSUhEUgAA...";
var result = await analyzer.AnalyzeEmotionFromBase64Async(base64Image);

Console.WriteLine($"Emotion: {result}");

3️⃣ Analyze emotion from a file stream

using var fileStream = File.OpenRead("image.jpg");
var result = await analyzer.AnalyzeEmotionFromStreamAsync(fileStream);

Console.WriteLine($"Emotion: {result}");

Example Response

{
  "emotion": "sadness"
}

📦 Contact

For any questions, feel free to contact me or create an issue in the repository.