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--- |
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license: cc-by-nc-nd-4.0 |
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task_categories: |
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- image-to-text |
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- image-feature-extraction |
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- feature-extraction |
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language: |
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- en |
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tags: |
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- finance |
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- code |
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- not-for-all-audiences |
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dataset_info: |
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- config_name: Brazil_youtube |
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features: |
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- name: image |
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dtype: image |
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- name: labeled_image |
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dtype: image |
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- name: bbox |
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dtype: string |
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- name: license_plate.id |
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dtype: string |
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- name: license_plate.visibility |
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dtype: string |
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- name: license_plate.rows_count |
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dtype: uint8 |
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- name: license_plate.number |
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dtype: string |
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- name: license_plate.serial |
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dtype: string |
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- name: license_plate.country |
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dtype: string |
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- name: license_plate.mask |
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dtype: string |
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splits: |
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- name: train |
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num_bytes: 173536648 |
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num_examples: 72 |
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download_size: 22606962 |
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dataset_size: 173536648 |
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- config_name: Estonia_platesmania |
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features: |
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- name: image |
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dtype: image |
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- name: labeled_image |
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dtype: image |
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- name: bbox |
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dtype: string |
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- name: license_plate.id |
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dtype: string |
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- name: license_plate.visibility |
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dtype: string |
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- name: license_plate.rows_count |
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dtype: uint8 |
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- name: license_plate.number |
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dtype: string |
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- name: license_plate.serial |
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dtype: string |
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- name: license_plate.country |
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dtype: string |
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- name: license_plate.mask |
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dtype: string |
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splits: |
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- name: train |
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num_bytes: 7990452 |
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num_examples: 10 |
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download_size: 7863164 |
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dataset_size: 7990452 |
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- config_name: Finland_platesmania |
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features: |
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- name: image |
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dtype: image |
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- name: labeled_image |
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dtype: image |
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- name: bbox |
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dtype: string |
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- name: license_plate.id |
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dtype: string |
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- name: license_plate.visibility |
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dtype: string |
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- name: license_plate.rows_count |
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dtype: uint8 |
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- name: license_plate.number |
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dtype: string |
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- name: license_plate.serial |
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dtype: string |
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- name: license_plate.country |
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dtype: string |
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- name: license_plate.mask |
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dtype: string |
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splits: |
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- name: train |
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num_bytes: 9650579 |
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num_examples: 10 |
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download_size: 9485725 |
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dataset_size: 9650579 |
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- config_name: Kazakhstan_platesmania |
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features: |
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- name: image |
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dtype: image |
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- name: labeled_image |
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dtype: image |
|
- name: bbox |
|
dtype: string |
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- name: license_plate.id |
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dtype: string |
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- name: license_plate.visibility |
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dtype: string |
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- name: license_plate.rows_count |
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dtype: uint8 |
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- name: license_plate.number |
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dtype: string |
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- name: license_plate.serial |
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dtype: string |
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- name: license_plate.country |
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dtype: string |
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- name: license_plate.mask |
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dtype: string |
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splits: |
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- name: train |
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num_bytes: 14064541 |
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num_examples: 19 |
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download_size: 7265915 |
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dataset_size: 14064541 |
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- config_name: Kazakhstan_youtube |
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features: |
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- name: image |
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dtype: image |
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- name: labeled_image |
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dtype: image |
|
- name: bbox |
|
dtype: string |
|
- name: license_plate.id |
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dtype: string |
|
- name: license_plate.visibility |
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dtype: string |
|
- name: license_plate.rows_count |
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dtype: uint8 |
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- name: license_plate.number |
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dtype: string |
|
- name: license_plate.serial |
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dtype: string |
|
- name: license_plate.country |
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dtype: string |
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- name: license_plate.mask |
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dtype: string |
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splits: |
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- name: train |
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num_bytes: 6324396 |
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num_examples: 22 |
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download_size: 2852873 |
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dataset_size: 6324396 |
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- config_name: Lithuania_platesmania |
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features: |
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- name: image |
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dtype: image |
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- name: labeled_image |
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dtype: image |
|
- name: bbox |
|
dtype: string |
|
- name: license_plate.id |
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dtype: string |
|
- name: license_plate.visibility |
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dtype: string |
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- name: license_plate.rows_count |
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dtype: uint8 |
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- name: license_plate.number |
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dtype: string |
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- name: license_plate.serial |
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dtype: string |
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- name: license_plate.country |
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dtype: string |
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- name: license_plate.mask |
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dtype: string |
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splits: |
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- name: train |
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num_bytes: 8127614 |
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num_examples: 10 |
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download_size: 7940839 |
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dataset_size: 8127614 |
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- config_name: Serbia_platesmania |
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features: |
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- name: image |
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dtype: image |
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- name: labeled_image |
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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 |
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dtype: string |
|
- name: license_plate.country |
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dtype: string |
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- name: license_plate.mask |
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dtype: string |
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splits: |
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- config_name: Serbia_youtube |
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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 |
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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: 26535839 |
|
num_examples: 67 |
|
download_size: 4044272 |
|
dataset_size: 26535839 |
|
- config_name: UAE_platesmania |
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features: |
|
- name: image |
|
dtype: image |
|
- name: labeled_image |
|
dtype: image |
|
- name: bbox |
|
dtype: string |
|
- name: license_plate.id |
|
dtype: string |
|
- name: license_plate.visibility |
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dtype: string |
|
- name: license_plate.rows_count |
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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: 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 |
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num_examples: 162 |
|
download_size: 2666314 |
|
dataset_size: 41202317 |
|
--- |
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|
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# License Plates - Object Detection dataset |
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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. |
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Annotation details are provided in the About section below. |
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# 💴 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 |
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# About |
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## Variables in .csv files: |
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- **file_name** - filename of the original car photo |
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- **license_plate.country** - country where the vehicle was captured |
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- **bbox** - normalized Bounding Box labeling of the car |
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- **license_plate.visibility** - the visibility type of the license plate |
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- **license_plate.id** - unique license plate's id |
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- **license_plate.mask** - normalized coordinates of the license plate |
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- **license_plate.rows_count** - single-line or double-line number |
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- **license_plate.number** - recognized text of the license plate |
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- **license_plate.serial** - only for UAE numbers - license plate series |
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- **license_plate.region** - only for UAE numbers - license plate subregion |
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- **license_plate.color** - only for Saudi Arabia - color of the international plate code |
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# 💴 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** |
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### **[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. |
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More datasets in TrainingData's Kaggle account: **https://www.kaggle.com/trainingdatapro/datasets** |
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TrainingData's GitHub: **https://github.com/Trainingdata-datamarket/TrainingData_All_datasets** |
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*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* |
