metadata

license: mit
tags:
  - YOLOv8
  - Object Detection
  - Computer Vision
  - License Plate Detection
  - Ultralytics
  - Real-time Detection
library_name: ultralytics
inference: false

🚗 YOLOv8 License Plate Detection Model

This repository contains a YOLOv8 object detection model trained to detect license plates in real-world images. The model was trained using the Ultralytics YOLOv8 framework and can be deployed for real-time applications such as surveillance, traffic monitoring, and vehicle identification.

🧠 Model Details

Architecture: YOLOv8n (Nano variant)
Framework: Ultralytics YOLOv8
Task: Object Detection
Classes: 1 (license_plate)
Input resolution: 640×640
File: best.pt

🔧 How to Use

Install dependencies first:

pip install ultralytics

Example usage:

from ultralytics import YOLO

# Load model from HF
model = YOLO("koushik-ai/yolov8-license-plate-detection/best.pt")

# Run inference
results = model("your_image.jpg")

# Show results
results[0].show()