tunis-word-detection-yolov8s – AI Model by yassine-mhirsi | AlphaNeural AI

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yassine-mhirsi/
tunis-word-detection-yolov8s

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object-detection

computer-vision

Safe-Drive-TN/tunis-word-tunisian-license-plate

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Tunisian License Plate - Arabic Text Detection (YOLOv8s)

This model detects the Arabic word "تونس" (Tunis) in Tunisian license plates using YOLOv8s.

Model Description

Model Type: YOLOv8s (Small)
Task: Object Detection
Classes: 1 class - "tunis" (Arabic text region)
Purpose: Detecting and localizing the word "تونس" in Tunisian license plates for OCR preprocessing

Use Case

This model is designed to be used as a preprocessing step for license plate OCR:

Detect the Arabic text "تونس" region
Mask or crop this region
Apply OCR on the remaining numeric characters for better accuracy

Training Details

Base Model: YOLOv8s pretrained weights
Image Size: 512x512
Framework: Ultralytics YOLOv8
Training Dataset: Tunisian license plate images

Usage

python

from ultralytics import YOLO

# Load the model
model = YOLO("yassine-mhirsi/tunis-word-detection-yolov8s")

# Run inference
results = model.predict("path/to/license_plate.jpg", conf=0.5)

# Process results
for result in results:
    boxes = result.boxes
    for box in boxes:
        print(f"Confidence: {box.conf[0]:.2f}")
        print(f"Bounding Box: {box.xyxy[0]}")

Model Files

best.pt - Best weights from training
last.pt - Last checkpoint
Training metrics and visualizations included

Example

Tunisian License Plate

Citation

If you use this model, please cite:

@misc{tunis-word-detection-yolov8s,
  authors = {Yassine Mhirsi,Malek Messaoudi},
  title = {Tunisian License Plate Arabic Text Detection},
  year = {2025},
  publisher = {Hugging Face},
  howpublished = {\url{https://huggingface.co/Safe-Drive-TN/tunis-word-detection-yolov8s/}}
}

License

MIT License