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--- |
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dataset_info: |
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features: |
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- name: image_id |
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dtype: int64 |
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- name: image |
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dtype: image |
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- name: width |
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dtype: int32 |
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- name: height |
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dtype: int32 |
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- name: objects |
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struct: |
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- name: area |
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sequence: int64 |
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- name: bbox |
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sequence: |
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sequence: float64 |
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- name: bbox_id |
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sequence: int64 |
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- name: category |
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sequence: int64 |
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- name: id |
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sequence: int64 |
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- name: labels |
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sequence: string |
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splits: |
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- name: train |
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num_bytes: 1838083625 |
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num_examples: 6176 |
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- name: validation |
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num_bytes: 310370814.375 |
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num_examples: 1765 |
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download_size: 2147811065 |
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dataset_size: 2148454439.375 |
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configs: |
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- config_name: default |
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data_files: |
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- split: train |
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path: data/train-* |
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- split: validation |
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path: data/validation-* |
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license: cc-by-4.0 |
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task_categories: |
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- object-detection |
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tags: |
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- object |
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- classify |
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- vision |
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- dino |
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pretty_name: augmented_license_plates |
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citation: |
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- vehicle-registration-plates-trudk_dataset, |
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title = { Vehicle Registration Plates Dataset }, |
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type = { Open Source Dataset }, |
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author = { Augmented Startups }, |
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howpublished = { \\url{ https://universe.roboflow.com/augmented-startups/vehicle-registration-plates-trudk } }, |
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url = { https://universe.roboflow.com/augmented-startups/vehicle-registration-plates-trudk }, |
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journal = { Roboflow Universe }, |
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publisher = { Roboflow }, |
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year = { 2022 }, |
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month = { jun }, |
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note = { visited on 2023-01-18 } |
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--- |
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A formatted, augmented copy of [license_plate_object_detection](https://huggingface.co/datasets/keremberke/license-plate-object-detection) for use with grounding dino training experiments. |
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Original license is CC - please attribute author at that dataset address. |
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