Yolo8 Indonesian License Plate Detection

Usage

Install dependencies

pip install ultralytics

Load the model

from ultralytics import YOLO

# Load model
model = YOLO("https://huggingface.co/wuriyanto/yolo8-indonesian-license-plate-detection/resolve/main/model.pt")

# Run inference on an image
results = model("/content/mob_3.JPG", conf=0.5)

# Show results
import matplotlib.pyplot as plt

plt.imshow(results[0].plot())
plt.axis("off")
plt.show()

Example Output

Here’s an example detection result (bounding box around the plate):

Image for demonstration purposes only. Source: Google/ https://tirto.id/cara-mencari-lokasi-uji-emisi-kendaraan-di-jakarta-secara-online-f8ZU

Results

Dataset

• Dataset: Indonesian Plate Number from Multi Sources (Kaggle https://www.kaggle.com/datasets/linkgish/indonesian-plate-number-from-multi-sources)
• Train/Val split already provided.

Performance

Results

License

This model is released under the MIT License (feel free to modify).

Citation

If you use this model in your work, please cite:

@misc{wuriyanto2025yolo8indonesianplate,
  title  = {YOLOv8 Indonesian License Plate Detection},
  author = {Wuriyanto},
  year   = {2025},
  url    = {https://huggingface.co/wuriyanto/yolo8-indonesian-license-plate-detection}
}

--- license: mit base_model: - Ultralytics/YOLOv8 tags: - indonesian - plate - detection - plate number - object-detection --- ## YOLOv8 Indonesian License Plate Detection ### 🚘 YOLOv8 model for detecting Indonesian vehicle license plates. This model was trained using the Indonesian Plate Number from Multi Sources dataset. ### Model Details - Architecture: YOLOv8 (Ultralytics) - Task: Object Detection - Classes: 1 (plate) - Epochs: 50 - Image size: 640 - Framework: Ultralytics ### Usage Install dependencies ```shell pip install ultralytics ``` Load the model ```python from ultralytics import YOLO # Load model model = YOLO("https://huggingface.co/wuriyanto/yolo8-indonesian-license-plate-detection/resolve/main/model.pt") # Run inference on an image results = model("/content/mob_3.JPG", conf=0.5) # Show results import matplotlib.pyplot as plt plt.imshow(results[0].plot()) plt.axis("off") plt.show() ``` ### Example Output Here’s an example detection result (bounding box around the plate): *Image for demonstration purposes only. Source: Google/ https://tirto.id/cara-mencari-lokasi-uji-emisi-kendaraan-di-jakarta-secara-online-f8ZU*  ### Dataset - Dataset: Indonesian Plate Number from Multi Sources (Kaggle https://www.kaggle.com/datasets/linkgish/indonesian-plate-number-from-multi-sources) - Train/Val split already provided. ### Performance  ### License This model is released under the MIT License (feel free to modify). ### Citation If you use this model in your work, please cite: ``` @misc{wuriyanto2025yolo8indonesianplate, title = {YOLOv8 Indonesian License Plate Detection}, author = {Wuriyanto}, year = {2025}, url = {https://huggingface.co/wuriyanto/yolo8-indonesian-license-plate-detection} } ```