---
dataset_info:
  features:
  - name: image_id
    dtype: int64
  - name: image
    dtype: image
  - name: width
    dtype: int32
  - name: height
    dtype: int32
  - name: objects
    struct:
    - name: area
      sequence: int64
    - name: bbox
      sequence:
        sequence: float64
    - name: bbox_id
      sequence: int64
    - name: category
      sequence: int64
    - name: id
      sequence: int64
  - name: labels
    sequence: string
  splits:
  - name: train
    num_bytes: 1838083625
    num_examples: 6176
  - name: validation
    num_bytes: 310370814.375
    num_examples: 1765
  download_size: 2147811065
  dataset_size: 2148454439.375
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
  - split: validation
    path: data/validation-*
license: cc-by-4.0
task_categories:
- object-detection
tags:
- object
- classify
- vision
- dino
pretty_name: augmented_license_plates
citation: 
  - vehicle-registration-plates-trudk_dataset,
    title = { Vehicle Registration Plates Dataset },
    type = { Open Source Dataset },
    author = { Augmented Startups },
    howpublished = { \\url{ https://universe.roboflow.com/augmented-startups/vehicle-registration-plates-trudk } },
    url = { https://universe.roboflow.com/augmented-startups/vehicle-registration-plates-trudk },
    journal = { Roboflow Universe },
    publisher = { Roboflow },
    year = { 2022 },
    month = { jun },
    note = { visited on 2023-01-18 }
    
---

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. 

Original license is CC - please attribute author at that dataset address.