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https://github.com/aliardan/RoadMarkingDetection

Road markings detection using yolov5 model based on ONNX
https://github.com/aliardan/RoadMarkingDetection

c-sharp deep-learning dotnet-core jupyter-notebook object-detection onnx pytorch yolo yolov5

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Road markings detection using yolov5 model based on ONNX

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#

Road Marking Detection


Road markings detection using custom yolov5 model based on ONNX, .NET 8.0










# Usage
## Running ML Dotnet Road marking detection using Yolov5 in Colab Open In Colab
In this tutorial, we will learn how to detect road markings using Yolov5 and ML Dotnet which is a machine learning framework for .NET.

## Running with Package Manager Console
```
NuGet\Install-Package Aliardan.RoadMarkingDetection -Version 2.0.6
```

# Dependencies

1. .NET 8.0
2. Aliardan.Scorer (>= 2.0.6)
3. Microsoft.ML (>= 2.0.1)
4. Microsoft.ML.OnnxRuntime (>= 1.16.3)
5. SixLabors.Fonts (>= 2.0.2)
6. SixLabors.ImageSharp (>= 3.0.2)
7. SixLabors.ImageSharp.Drawing (>= 2.0.1)

# Additional information

⭐[YOLOv5](https://github.com/ultralytics/yolov5)

⭐[Train Custom Data](https://github.com/ultralytics/yolov5/wiki/Train-Custom-Data)

⭐[Tips for Best Training Results](https://github.com/ultralytics/yolov5/wiki/Tips-for-Best-Training-Results)

⭐[ONNX and TorchScript Export](https://github.com/ultralytics/yolov5/issues/251)

⭐[Test-Time Augmentation (TTA)](https://github.com/ultralytics/yolov5/issues/303)

# Report templates

⚡[Bug report template](https://github.com/aliardan/RoadMarkingDetection/blob/6fe81549bb4d31c9a9a1c1ab2597a11a601bd668/.github/ISSUE_TEMPLATE/bug_report.md)

⚡[Feature request template](https://github.com/aliardan/RoadMarkingDetection/blob/6fe81549bb4d31c9a9a1c1ab2597a11a601bd668/.github/ISSUE_TEMPLATE/feature_request.md)