Persian Car Plates Digits Detection - YoloV8

The Persian Car Plate Detection Dataset is a meticulously crafted collection of 263 annotated Persian license plates, designed specifically for use with the YOLOv8 model. This dataset focuses on the detection of both digits and characters on car plates, offering an essential resource for developing and enhancing vehicle identification and license plate recognition systems.

Key Features

• Annotations for YOLOv8:

  • All plates are annotated and formatted to be seamlessly compatible with the YOLOv8 model, ensuring efficient training and accurate detection.

• High-Quality Data:

  • Plates were detected using YOLO and cropped using OpenCV, ensuring precision in bounding boxes and annotations.

• Target Detection:

  • Focuses on recognizing Persian digits and characters for applications in vehicle monitoring, traffic management, and automated surveillance systems.

Applications

1. License Plate Recognition:
   • Train advanced machine learning models for Persian car plate detection and character recognition.
2. Traffic and Vehicle Monitoring:
   • Enhance AI-powered solutions for traffic management, toll systems, and law enforcement.
3. Surveillance Systems:
   • Develop robust systems for vehicle tracking and identification in smart cities.

Dataset Specifications

• Number of Plates:
  • 263 annotated Persian car plates.
• Format:
  • YOLOv8-compatible annotations, cropped images for targeted detection tasks.
• Processing Tools:
  • Plates were detected with YOLO and cropped using OpenCV for high accuracy.