car-object-detection

🚗 Car Detection Using YOLOv5u (Ultralytics)

A simple, lightweight pipeline to detect cars using YOLOv5u on Google Colab. This repo contains code for training, evaluating, and testing YOLO models on a custom dataset.

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📌 Features

• 🔍 Real-time object detection (car detection)
• 🧠 Finetuned YOLOv5u on custom dataset
• ☁️ Runs fully on Google Colab (no local setup needed)
• 📊 Easy evaluation and result visualization

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🧪 Demo

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📁 Directory Structure

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├── data/
│   └── car.yaml           # Dataset configuration
├── images/
│   ├── training_images/   # Training images
│   └── testing_images/    # Test images
├── labels/
│   ├── training_images/   # YOLO-format .txt labels
│   └── testing_images/    # YOLO-format .txt labels (optional)
├── runs/
│   └── car_detect/        # Output model weights and logs
└── car_detection.ipynb    # Google Colab Notebook