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---
license: cc-by-nc-nd-4.0
task_categories:
- image-to-text
- image-feature-extraction
- feature-extraction
language:
- en
tags:
- finance
- code
- not-for-all-audiences
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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    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
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  - name: license_plate.mask
    dtype: string
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  - name: labeled_image
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  - 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
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  - name: license_plate.mask
    dtype: string
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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
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  - name: license_plate.country
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  - name: license_plate.mask
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  - name: license_plate.id
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  - name: license_plate.visibility
    dtype: string
  - name: license_plate.rows_count
    dtype: uint8
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  - name: labeled_image
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  - 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
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  - name: license_plate.mask
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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
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  - name: labeled_image
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  - 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
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  - name: license_plate.country
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  - name: license_plate.mask
    dtype: string
  splits:
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  - name: labeled_image
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  - name: license_plate.id
    dtype: string
  - name: license_plate.visibility
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    dtype: uint8
  - name: license_plate.number
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    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
  splits:
  - name: train
    num_bytes: 41202317
    num_examples: 162
  download_size: 2666314
  dataset_size: 41202317
---

# License Plates - Object Detection dataset
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 the differnent Web domains. 
Annotation details are provided in the About section below. 

# 💴 For Commercial Usage: Full version of the dataset includes 1,200 000 images & OCR Annotations, leave a request on [TrainingData](https://trainingdata.pro/datasets/car-license-plates?utm_source=huggingface&utm_medium=cpc&utm_campaign=license_plates) to 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

# 💴 Buy the Dataset: This is just an example of the data. Leave a request on **[https://trainingdata.pro/datasets](https://trainingdata.pro/datasets/car-license-plates?utm_source=huggingface&utm_medium=cpc&utm_campaign=license_plates) to discuss your requirements, learn about the price and buy the dataset**

### **[TrainingData](https://trainingdata.pro/datasets/car-license-plates?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**

*keywords: license plate dataset, car license plate detection, license plate recognition, automatic number plate recognition, vehicle license plate location, number plate dataset, labelled license plates, license plate characters, object detection dataset, license plate OCR, automatic vehicle number plate detection, computer vision license plate*