peterhdd/pothole-detection-yolov8
By peterhdd · ↓ 5 · ♥ 2 · Updated 2026-01-22
What's in this repo
This page lists the files in peterhdd/pothole-detection-yolov8, including best.onnx.
- 1 ONNX models (.onnx files)
- 8 files, including 2 .png, 1 .md, 1 .onnx, 1 .pt, 1 .json, 1 .jpg
- Last updated 2026-01-22
ONNX files
| File | Size | Download |
|---|---|---|
| best.onnx | — | Download |
How to use
These ONNX files can be loaded with ONNX Runtime. To inspect a model graph, upload the file to the Netron viewer. Download links point to the original files on Hugging Face.
README
YOLOv8 Pothole Detection Model
This model detects potholes in road images using YOLOv8s trained on the following dataset:
Model Details
- Architecture: YOLOv8s (Ultralytics)
- Task: Object Detection
- Classes: 1 (pothole)
- Epochs: 100
- Hardware: NVIDIA L40S (Nebius Cloud)
- Model Size: 22.5 MB
Sample Prediction
Training Results
Confusion Matrix
Usage Example (Python)
from ultralytics import YOLO
model = YOLO("https://huggingface.co/peterhdd/pothole-detection-yolov8/resolve/main/best.pt")
results = model("your_image.jpg")
results.show()
This model is part of a complete end-to-end pothole detection system including training, GPU inference, and a mobile application.
The repository can be found here:
https://github.com/PeterHdd/pothole-detection-yolo
Model info
Created: 2025-12-13
Updated: 2026-01-22
View on Hugging FaceFiles (8)
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