Custom Training of a YOLOv8 Nano model on a Pothole Dataset and deployment using Gradio + Hugging face Spaces
Hello trend,
This is Satya Mallick from LearnOpenCV.com.
We are sharing a 2-part end-to-end project where you learn how to train a YOLOv8 model on a custom Pothole Dataset and using the trained model to deploy it using hugging Face Spaces so that you can use it from a web browser or your mobile phone!
You will learn the following:
- The new Pothole dataset.
- Setting up YOLOv8 for custom training
- Train using 3 different YOLOv8 models
- Compare performance of YOLOv8 Nano, Small and Medium models.
- Using the PyTorch model to deploy on Hugging Face Spaces
Without further ado, let's jump into the post:
Train YOLOv8 on Custom Pothole Dataset
Deploy on Hugging Faces Spaces with Gradio
- 📖 Tutorial
- 💻 Code | Deployed Application
Cheers!
Satya
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