| --- |
| dataset_info: |
| features: |
| - name: image |
| dtype: image |
| - name: response |
| dtype: string |
| splits: |
| - name: train |
| num_bytes: 41407347 |
| num_examples: 228 |
| download_size: 41405508 |
| dataset_size: 41407347 |
| configs: |
| - config_name: default |
| data_files: |
| - split: train |
| path: data/train-* |
| license: apache-2.0 |
| task_categories: |
| - image-to-text |
| language: |
| - en |
| size_categories: |
| - n<1K |
| --- |
| |
| # **Number-Plate-Recognition** |
|
|
| A lightweight dataset for automatic number plate recognition (ANPR). Each sample contains a vehicle image paired with the vehicle color and the corresponding license plate number in a standardized JSON format. |
|
|
| ## Features |
|
|
| - Vehicle images |
| - Vehicle color annotation |
| - License plate text (OCR) |
| - JSON formatted labels |
| - Suitable for OCR and vision-language model training |
|
|
| ## Label Format |
|
|
| ```json |
| { |
| "vehicle_color": "black", |
| "license_plate_number": "77-ZFK-8" |
| } |
| ``` |
|
|
| ## Use Cases |
|
|
| - Automatic Number Plate Recognition (ANPR) |
| - OCR model training and evaluation |
| - Vision-language model fine-tuning |
| - Vehicle attribute extraction |
| - Multimodal benchmarking |
|
|
| ## License |
|
|
| Apache-2.0 |
