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Datasets:
TrainingDataPro
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license_plates

Tasks:
Image-to-Text
Image Feature Extraction
Feature Extraction
Languages:
English
Tags:
finance
code
Not-For-All-Audiences
License:
Dataset card Files Community
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metadata
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
    splits:
      - name: train
        num_bytes: 173536648
        num_examples: 72
    download_size: 22606962
    dataset_size: 173536648
  - config_name: Estonia_platesmania
    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
    splits:
      - name: train
        num_bytes: 7990452
        num_examples: 10
    download_size: 7863164
    dataset_size: 7990452
  - config_name: Finland_platesmania
    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
    splits:
      - name: train
        num_bytes: 9650579
        num_examples: 10
    download_size: 9485725
    dataset_size: 9650579
  - config_name: Kazakhstan_platesmania
    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
    splits:
      - name: train
        num_bytes: 14064541
        num_examples: 19
    download_size: 7265915
    dataset_size: 14064541
  - config_name: Kazakhstan_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
    splits:
      - name: train
        num_bytes: 6324396
        num_examples: 22
    download_size: 2852873
    dataset_size: 6324396
  - config_name: Lithuania_platesmania
    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
    splits:
      - name: train
        num_bytes: 8127614
        num_examples: 10
    download_size: 7940839
    dataset_size: 8127614
  - config_name: Serbia_platesmania
    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
    splits:
      - name: train
        num_bytes: 10000777
        num_examples: 10
    download_size: 9808356
    dataset_size: 10000777
  - config_name: Serbia_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
    splits:
      - name: train
        num_bytes: 26535839
        num_examples: 67
    download_size: 4044272
    dataset_size: 26535839
  - config_name: UAE_platesmania
    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
    splits:
      - name: train
        num_bytes: 8236358
        num_examples: 10
    download_size: 8028800
    dataset_size: 8236358
  - config_name: UAE_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
    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 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 to discuss your requirements, learn about the price and buy the dataset

TrainingData 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