Datasets:
metadata
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 for use with grounding dino training experiments.
Original license is CC - please attribute author at that dataset address.