README.md

metadata

task_categories:
  - object-detection
tags:
  - roboflow
  - roboflow2huggingface
  - Self Driving
  - Anpr

Dataset Labels

['license_plate']

Number of Images

{'train': 6176, 'valid': 1765, 'test': 882}

How to Use

• Install datasets:

pip install datasets

• Load the dataset:

from datasets import load_dataset

ds = load_dataset("keremberke/license-plate-object-detection", name="full")
example = ds['train'][0]

Roboflow Dataset Page

https://universe.roboflow.com/augmented-startups/vehicle-registration-plates-trudk/dataset/1?ref=roboflow2huggingface

Citation

@misc{ vehicle-registration-plates-trudk_dataset,
    title = { Vehicle Registration Plates Dataset },
    type = { Open Source Dataset },
    author = { Augmented Startups },
    howpublished = { \\url{ https://universe.roboflow.com/augmented-startups/vehicle-registration-plates-trudk } },
    url = { https://universe.roboflow.com/augmented-startups/vehicle-registration-plates-trudk },
    journal = { Roboflow Universe },
    publisher = { Roboflow },
    year = { 2022 },
    month = { jun },
    note = { visited on 2023-01-18 },
}

License

CC BY 4.0

Dataset Summary

This dataset was exported via roboflow.ai on January 13, 2022 at 5:20 PM GMT

It includes 8823 images. VRP are annotated in COCO format.

The following pre-processing was applied to each image:

• Auto-orientation of pixel data (with EXIF-orientation stripping)

No image augmentation techniques were applied.