--- 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](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*