TEAM_INSTRUCTIONS.md

Highway Vehicle Detection - Team Instructions

Quick Setup

1. Clone the repository:

   git clone https://huggingface.co/bichuche0705/highway-vehicle-detection-code
   cd highway-vehicle-detection-code
   

2. Install dependencies:

   pip install ultralytics opencv-python numpy
   

3. Run the application:

   python main.py
   

External Resources

Test Video

Watch the model in action: YouTube Demo

Main Dataset

Download the complete training dataset: Kaggle Dataset

What's Included

• Trained Models: Ready-to-use YOLOv8m models
• Source Code: Complete detection application
• Fine-tuning Dataset: 92 images used for model improvement
• Training Logs: Performance metrics and visualizations
• Documentation: Complete project documentation

Model Files

• models/yolov8m_stage2_improved_best.pt - Final model (recommended)
• models/yolov8m_stage1_smart_best.pt - Stage 1 model

Usage Examples

Basic Detection

from ultralytics import YOLO
model = YOLO('models/yolov8m_stage2_improved_best.pt')
results = model('image.jpg')
results[0].show()

Video Processing

results = model('video.mp4', save=True)

Support

For questions or issues, contact the project author.