| | --- |
| | license: cc-by-nc-nd-4.0 |
| | task_categories: |
| | - image-to-text |
| | - image-feature-extraction |
| | - feature-extraction |
| | language: |
| | - en |
| | tags: |
| | - finance |
| | - code |
| | - license plate |
| | - cars |
| | - plate detection |
| | - OCR |
| | 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 |
| | size_categories: |
| | - 1K<n<10K |
| | --- |
| | |
| | # License Plates - Object Detection dataset |
| | Over **3.8 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: To discuss your requirements, learn about the price and buy the dataset, leave a request on **[our website](https://unidata.pro/datasets/car-license-plates-ocr-image/?utm_source=huggingface-td&utm_medium=referral&utm_campaign=license_plates)** to buy the dataset |
| |
|
| | # About |
| | ## Variables in .csv files: |
| | - **filename** - filename of the original car photo |
| | - **country** - country where the vehicle was captured |
| | - **plate_text** - recognized text of the license plate |
| | - **model** - model of the cat |
| | - **tag** - specific tag |
| | |
| | ## 💴 Buy the Dataset: This is just an example of the data. Leave a request on the [our website](https://unidata.pro/datasets/car-license-plates-ocr-image/?utm_source=huggingface-td&utm_medium=referral&utm_campaign=license_plates) to discuss your requirements, learn about the price and buy the dataset |
| | |
| | ### This is just an example of the data |
| | |
| | ## [Our Team](https://unidata.pro/datasets/car-license-plates-ocr-image/?utm_source=huggingface-td&utm_medium=referral&utm_campaign=license_plates) provides high-quality data annotation tailored to your needs |
| | |
| | *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* |
