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vietnguyennn0705/highway-vehicle-detection
highway-vehicle-detection is a object detection model from vietnguyennn0705. Use it when you need objects located in an image. It is set up for ultralytics. The card lists the license as mit.
A YOLOv8m-based vehicle detection model trained for highway traffic monitoring and analysis.
Downloads · 30 days
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9% of all-time downloads
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From the Hugging Face model README
A YOLOv8m-based vehicle detection model trained for highway traffic monitoring and analysis.
yolov8m_stage2_improved - Best performing modelpip install ultralytics opencv-python
from ultralytics import YOLO
# Load the model
model = YOLO('bichuche0705/highway-vehicle-detection')
# Run inference on an image
results = model('path/to/image.jpg')
# Display results
results[0].show()
# Process video with vehicle counting
results = model('path/to/video.mp4', save=True)
best.pt: The trained model weights (Stage 2 improved)data.yaml: Dataset configurationREADME.md: This model cardThe model was trained on highway traffic data with the following class distribution:
MIT License - See LICENSE file for details
If you use this model in your research, please cite:
@misc{highway-vehicle-detection,
title={Highway Vehicle Detection using YOLOv8},
author={Nguyen Quoc Viet},
year={2024},
url={https://huggingface.co/bichuche0705/highway-vehicle-detection}
}