https://github.com/davydantoniuk/yolo-vehicle-detector

Simple vehicle detection with YOLO
https://github.com/davydantoniuk/yolo-vehicle-detector

Last synced: 3 months ago
JSON representation

Simple vehicle detection with YOLO

• Host: GitHub
• URL: https://github.com/davydantoniuk/yolo-vehicle-detector
• Owner: davydantoniuk
• License: mit
• Created: 2025-02-25T22:45:24.000Z (3 months ago)
• Default Branch: main
• Last Pushed: 2025-03-03T17:43:18.000Z (3 months ago)
• Last Synced: 2025-03-03T18:39:46.252Z (3 months ago)
• Language: HTML
• Homepage: https://davydantoniuk.github.io/yolo-vehicle-detector/
• Size: 8.6 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

README

        
# **Vehicle Detection Using YOLOv8**

https://davydantoniuk.github.io/yolo-vehicle-detector/

This project implements **YOLOv8** for vehicle detection using the **KITTI dataset**. The dataset was **preprocessed, balanced, and augmented** to improve model performance. The model was trained on a **custom dataset**, achieving **mAP@50: 0.834**.

## **Project Structure**

-   **Dataset Preparation**: KITTI dataset preprocessing and conversion to YOLO format.

-   **Data Balancing**: Downsampling, oversampling, and synthetic data generation.

-   **Model Training**: YOLOv8 training with optimized hyperparameters.

-   **Evaluation**: Performance metrics including confusion matrix, PR curves, and loss analysis.