https://github.com/zygotecode/nsfwsharp
So far, the best C#.NET 9.0 open-source library that uses YOLOv11 with YoloDotNet (Microsoft.ML.OnnxRuntime) with a heavy trained ONNX model on a big NSFW images dataset!
https://github.com/zygotecode/nsfwsharp
classification classifier csharp detector dotnet dotnet-core dotnetcore image-classification inappropriate machine-learning mlnet nsfw nsfw-classifier nsfw-detection nsfw-recognition nude nudity nudity-detection porn pornography
Last synced: about 2 months ago
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So far, the best C#.NET 9.0 open-source library that uses YOLOv11 with YoloDotNet (Microsoft.ML.OnnxRuntime) with a heavy trained ONNX model on a big NSFW images dataset!
- Host: GitHub
- URL: https://github.com/zygotecode/nsfwsharp
- Owner: ZygoteCode
- License: mit
- Created: 2025-02-06T22:32:36.000Z (3 months ago)
- Default Branch: main
- Last Pushed: 2025-02-06T22:45:02.000Z (3 months ago)
- Last Synced: 2025-03-04T12:40:24.088Z (about 2 months ago)
- Topics: classification, classifier, csharp, detector, dotnet, dotnet-core, dotnetcore, image-classification, inappropriate, machine-learning, mlnet, nsfw, nsfw-classifier, nsfw-detection, nsfw-recognition, nude, nudity, nudity-detection, porn, pornography
- Language: C#
- Homepage:
- Size: 69.3 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# NsfwSharp
[](https://opensource.org/licenses/MIT)
[](https://dotnet.microsoft.com/download/dotnet/9.0)
[](#)
> **So far, the best C#.NET 9.0 open-source library that uses YOLOv11 with YoloDotNet (Microsoft.ML.OnnxRuntime) powered by a heavily trained ONNX model on a vast NSFW images dataset!**
NsfwSharp is the world's **first implementation** of an ONNX model with YOLOv11 for object detection in C# .NET 9.0, meticulously engineered to detect nudity, inappropriate, and NSFW content with unmatched precision.
---
## Table of Contents
- [Features](#features)
- [Installation](#installation)
- [Usage](#usage)
- [Contributing](#contributing)
- [Reporting Issues](#reporting-issues)
- [License](#license)
- [Acknowledgements](#acknowledgements)
- [Contact](#contact)
---
## Features
- **Cutting-Edge Detection:** Utilizes YOLOv11 for robust NSFW content detection.
- **ONNX Integration:** Powered by Microsoft.ML.OnnxRuntime for high performance.
- **Modern C# Development:** Built exclusively for C# .NET 9.0.
- **Extensive Dataset:** Trained on an enormous dataset to ensure superior accuracy.
---
## Installation
Integrate NsfwSharp into your project by following these simple steps:
1. **Clone the Repository:**
```bash
git clone https://github.com/yourusername/NsfwSharp.git
cd NsfwSharp
```
2. **Install Dependencies:**
Ensure you have the [.NET 9.0 SDK](https://dotnet.microsoft.com/download/dotnet/9.0) installed. Then, restore NuGet packages:
```bash
dotnet restore
```
3. **Install YoloDotNet:**
NsfwSharp requires **YoloDotNet** for YOLOv11 integration. Install it via NuGet:
```bash
dotnet add package YoloDotNet
```
4. **Build the Project:**
```bash
dotnet build
```
---
## Usage
After installation, integrate NSFW detection into your application with ease. Here’s a quick example:
```csharp
using NsfwSharp;
using SkiaSharp;
using YoloDotNet.Extensions;
public class Program
{
public static void Main()
{
NsfwAnalyzer nsfwAnalyzer = new NsfwAnalyzer(@"yolo_11m_nsfw.onnx");
NsfwAnalysis nsfwAnalysis = nsfwAnalyzer.GetNsfwAnalysis(@"test.jpg");
Console.WriteLine(nsfwAnalysis.Detections[0].Name);
Console.WriteLine(nsfwAnalysis.Detections[0].Confidence);
nsfwAnalysis.DetectionsImage.Save("result.jpg", SKEncodedImageFormat.Jpeg, 100);
}
}
```
For more detailed examples and documentation, please refer to the [Usage Guide](./docs/USAGE.md).
---
## Contributing
We welcome contributions from developers and enthusiasts alike! Follow these steps to contribute:
1. **Fork the Repository:**
Click the **Fork** button at the top-right of this repository.
2. **Create a New Branch:**
```bash
git checkout -b feature/your-feature-name
```
3. **Make Your Changes:**
Commit your modifications with clear and concise commit messages:
```bash
git commit -m "Add: [description of your changes]"
```
4. **Push to Your Fork:**
```bash
git push origin feature/your-feature-name
```
5. **Create a Pull Request:**
- Navigate to your fork on GitHub.
- Click the **Compare & pull request** button.
- Fill in the PR template with details about your changes.
- Submit your pull request.
Your contributions are greatly appreciated and help improve NsfwSharp for everyone!
---
## Reporting Issues
Encountered a bug or have a feature request? I’d love to hear from you! Please follow these steps:
1. **Navigate to the Issues Tab:**
Click on the **Issues** tab in the repository.
2. **Create a New Issue:**
Click the **New Issue** button.
3. **Fill Out the Issue Template:**
Provide a clear title and a detailed description including steps to reproduce the issue.
4. **Submit the Issue:**
Once submitted, I’ll review and address it as soon as possible.
---
## License
NsfwSharp is open-sourced under the [MIT License](LICENSE). This permissive license allows you to use, modify, and distribute the library with confidence.
---
## Acknowledgements
A heartfelt thank you goes out to the original author of the pre-trained model. For more details, check out the model on [HuggingFace](https://huggingface.co/erax-ai/EraX-NSFW-V1.0?not-for-all-audiences=true).
---
## Contact
For any questions, suggestions, or feedback, please feel free to reach out via [GitHub Issues](https://github.com/GabryB03/NsfwSharp/issues) or contact the repository maintainer directly.
---
Happy coding! 🚀