task_categories:image-to-text language:en license:cc-by-nc-nd-4.0 finance region:us
Over 1.2 million annotated license plates from vehicles around the world.
This dataset is tailored for License Plate Recognition tasks and includes
images from both YouTube and PlatesMania. 
Annotation details are provided in the About section below.
@InProceedings{huggingface:dataset,
title = {license_plates},
author = {TrainingDataPro},
year = {2023}
}
---
license: cc-by-nc-nd-4.0
task_categories:
- image-to-text
language:
- en
tags:
- finance
dataset_info:
- config_name: Brazil_youtube
  features:
  - name: image
    dtype: image
  - name: labeled_image
    dtype: image
  - name: bbox
    dtype: string
  - name: license_plate.id
    dtype: string
  - name: license_plate.visibility
    dtype: string
  - name: license_plate.rows_count
    dtype: uint8
  - name: license_plate.number
    dtype: string
  - name: license_plate.serial
    dtype: string
  - name: license_plate.country
    dtype: string
  - name: license_plate.mask
    dtype: string
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- config_name: Estonia_platesmania
  features:
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  - name: labeled_image
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  - name: bbox
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  - name: license_plate.id
    dtype: string
  - name: license_plate.visibility
    dtype: string
  - name: license_plate.rows_count
    dtype: uint8
  - name: license_plate.number
    dtype: string
  - name: license_plate.serial
    dtype: string
  - name: license_plate.country
    dtype: string
  - name: license_plate.mask
    dtype: string
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- config_name: Finland_platesmania
  features:
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    dtype: image
  - name: labeled_image
    dtype: image
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    dtype: string
  - name: license_plate.id
    dtype: string
  - name: license_plate.visibility
    dtype: string
  - name: license_plate.rows_count
    dtype: uint8
  - name: license_plate.number
    dtype: string
  - name: license_plate.serial
    dtype: string
  - name: license_plate.country
    dtype: string
  - name: license_plate.mask
    dtype: string
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- config_name: Kazakhstan_platesmania
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  - name: labeled_image
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    dtype: string
  - name: license_plate.visibility
    dtype: string
  - name: license_plate.rows_count
    dtype: uint8
  - name: license_plate.number
    dtype: string
  - name: license_plate.serial
    dtype: string
  - name: license_plate.country
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  - name: license_plate.mask
    dtype: string
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    dtype: string
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  - name: license_plate.visibility
    dtype: string
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    dtype: uint8
  - name: license_plate.number
    dtype: string
  - name: license_plate.serial
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  - name: license_plate.mask
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  - name: labeled_image
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    dtype: string
  - name: license_plate.visibility
    dtype: string
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    dtype: uint8
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    dtype: string
  - name: license_plate.serial
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  - name: license_plate.country
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  - name: license_plate.visibility
    dtype: string
  - name: license_plate.rows_count
    dtype: uint8
  - name: license_plate.number
    dtype: string
  - name: license_plate.serial
    dtype: string
  - name: license_plate.country
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  - name: license_plate.mask
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---

# License Plates
Over **1.2 million** annotated license plates from vehicles around the world. This dataset is tailored for **License Plate Recognition tasks** and includes images from both YouTube and PlatesMania. 
Annotation details are provided in the About section below. 

# Get the dataset

### This is just an example of the data

Leave a request on [**https://trainingdata.pro/data-market**](https://trainingdata.pro/data-market?utm_source=huggingface&utm_medium=cpc&utm_campaign=license_plates) to discuss your requirements, learn about the price and buy the dataset.

# About 
## Variables in .csv files:
- **file_name** - filename of the original car photo
- **license_plate.country** - country where the vehicle was captured
- **bbox** - normalized Bounding Box labeling of the car
- **license_plate.visibility** - the visibility type of the license plate
- **license_plate.id** - unique license plate's id
- **license_plate.mask** - normalized coordinates of the license plate
- **license_plate.rows_count** - single-line or double-line number
- **license_plate.number** - recognized text of the license plate
- **license_plate.serial** - only for UAE numbers - license plate series
- **license_plate.region** - only for UAE numbers - license plate subregion
- **license_plate.color** - only for Saudi Arabia - color of the international plate code

**How it works**: *go to the folder of the country, CSV-file contains all labeling information about images located in the subfolder "photos" of the corresponding folder.*

## [**TrainingData**](https://trainingdata.pro/data-market?utm_source=huggingface&utm_medium=cpc&utm_campaign=license_plates) provides high-quality data annotation tailored to your needs

More datasets in TrainingData's Kaggle account: **https://www.kaggle.com/trainingdatapro/datasets**

TrainingData's GitHub: **https://github.com/Trainingdata-datamarket/TrainingData_All_datasets**