--- 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 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 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. # 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.* In order to get access to more than 1,2 million photos with lisence plates of 32 different countries or to learn more about our data, please contact our sales team by submitting a request on our website https://trainingdata.pro/data-market?utm_source=huggingface or emaling us at **sales@trainingdata.pro** More datasets in TrainingData's Kaggle account: **https://www.kaggle.com/trainingdatapro/datasets** TrainingData's GitHub: **https://github.com/trainingdata-pro**