
# 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**
task_categories:image-to-text language:en license:cc-by-nc-nd-4.0 finance region:us
{"language": ["en"], "license": "cc-by-nc-nd-4.0", "task_categories": ["image-to-text"], "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"}], "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"}, 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TAGS
#task_categories-image-to-text #language-English #license-cc-by-nc-nd-4.0 #finance #region-us 


# 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 URL 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 provides high-quality data annotation tailored to your needs

More datasets in TrainingData's Kaggle account: URL

TrainingData's GitHub: URL
# 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 URL 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 provides high-quality data annotation tailored to your needs

More datasets in TrainingData's Kaggle account: URL

TrainingData's GitHub: URL
TAGS
#task_categories-image-to-text #language-English #license-cc-by-nc-nd-4.0 #finance #region-us 
 # 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 URL 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 provides high-quality data annotation tailored to your needs

More datasets in TrainingData's Kaggle account: URL

TrainingData's GitHub: URL