TLPD: Taiwan License Plate Dataset

TLPD is a dataset containing over 3,000 images of vehicles with annotated license plates. Each image is labeled using the LabelMe format, with polygon annotations describing the boundary of each license plate.

This dataset is designed for tasks such as license plate detection, polygon segmentation, and scene text detection.

📁 Dataset Structure

All image files are stored in the images/ directory, and their corresponding polygon annotations are in the labels/ directory:

images/
├── 0001.jpg
├── 0002.jpg
└── ...

labels/
├── 0001.json
├── 0002.json
└── ...

Each .jpg image is paired with a .json file of the same name containing the polygon annotation (in LabelMe format).

🏷️ Annotation Format (LabelMe)

Each .json file includes:

• "imagePath": the name of the image
• "shapes"[0]["label"]: "carplate"
• "shapes"[0]["points"]: polygon points in the format [[x1, y1], [x2, y2], ...]
• "imageHeight", "imageWidth": image dimensions

Example JSON snippet:

{
  "imagePath": "0001.jpg",
  "shapes": [
    {
      "label": "carplate",
      "points": [
        [5.0, 8.0],
        [117.0, 12.0],
        [115.0, 52.0],
        [3.0, 48.0]
      ],
      "shape_type": "polygon"
    }
  ],
  "imageHeight": 60,
  "imageWidth": 121
}

💻 How to Use

To load this dataset using the Hugging Face 🤗 datasets library:

from datasets import load_dataset

ds = load_dataset("evan6007/TLPD", data_dir=".", trust_remote_code=True)
sample = ds["train"][0]

image = sample["image"]  # PIL image
label = sample["label"]  # "carplate"
points = sample["points"]  # [[x1, y1], ..., [x4, y4]]

Note: This dataset requires a custom loading script (dataset.py). Be sure to set trust_remote_code=True.

🧑‍🔬 Intended Use

• Object Detection (license plate)
• Polygon segmentation
• Scene text analysis
• Few-shot detection tasks

🪪 License

This dataset is licensed under the MIT License. You are free to use, share, and modify it for both academic and commercial purposes, with attribution.

✍️ Citation

@misc{TLPD2025,
  title={Taiwan License Plate Dataset},
  author={Hoi Lee ,Jui-Hung Weng, Chao-Hsiang Hsiao},
  year={2025},
  howpublished={\url{https://huggingface.co/datasets/evan6007/TLPD}}
}