Car License Plate - Dataset Ninja

Summary #

Car License Plate Detection is a dataset for an object detection task. Possible applications of the dataset could be in the surveillance industry.

The dataset consists of 433 images with 471 labeled objects belonging to 1 single class (license plate).

Images in the Car License Plate dataset have bounding box annotations. All images are labeled (i.e. with annotations). There are no pre-defined train/val/test splits in the dataset. The dataset was released in 2020.

Explore #

Car License Plate dataset has 433 images. Click on one of the examples below or open "Explore" tool anytime you need to view dataset images with annotations. This tool has extended visualization capabilities like zoom, translation, objects table, custom filters and more. Hover the mouse over the images to hide or show annotations.

Sample annotation mask from Car License Plate

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Have a look at 433 images

View images along with annotations and tags, search and filter by various parameters

Class balance #

There are 1 annotation classes in the dataset. Find the general statistics and balances for every class in the table below. Click any row to preview images that have labels of the selected class. Sort by column to find the most rare or prevalent classes.

Rows 1-1 of 1

Class ㅤ	Images ㅤ	Objects ㅤ	Count on image average	Area on image average
license plate➔ rectangle	433	471	1.09	4.53%

Images #

Explore every single image in the dataset with respect to the number of annotations of each class it has. Click a row to preview selected image. Sort by any column to find anomalies and edge cases. Use horizontal scroll if the table has many columns for a large number of classes in the dataset.

Object distribution #

Interactive heatmap chart for every class with object distribution shows how many images are in the dataset with a certain number of objects of a specific class. Users can click cell and see the list of all corresponding images.

Class sizes #

The table below gives various size properties of objects for every class. Click a row to see the image with annotations of the selected class. Sort columns to find classes with the smallest or largest objects or understand the size differences between classes.

Rows 1-1 of 1

Class	Object count	Avg area	Max area	Min area	Min height	Min height	Max height	Max height	Avg height	Avg height	Min width	Min width	Max width	Max width
license plate rectangle	471	4.17%	78.24%	0.06%	6px	2.06%	241px	80.33%	36px	12.63%	10px	2.5%	487px	97.4%

Spatial Heatmap #

The heatmaps below give the spatial distributions of all objects for every class. These visualizations provide insights into the most probable and rare object locations on the image. It helps analyze objects' placements in a dataset.

Objects #

Table contains all 471 objects. Click a row to preview an image with annotations, and use search or pagination to navigate. Sort columns to find outliers in the dataset.

Rows 1-10 of 471

Object ID ㅤ	Class ㅤ	Image name click row to open	Image size height x width	Height ㅤ	Height ㅤ	Width ㅤ	Width ㅤ	Area ㅤ
1➔	license plate rectangle	Cars184.png	225 x 400	14px	6.22%	50px	12.5%	0.78%
2➔	license plate rectangle	Cars321.png	400 x 301	12px	3%	36px	11.96%	0.36%
3➔	license plate rectangle	Cars429.png	400 x 301	30px	7.5%	123px	40.86%	3.06%
4➔	license plate rectangle	Cars103.png	196 x 400	6px	3.06%	19px	4.75%	0.15%
5➔	license plate rectangle	Cars103.png	196 x 400	6px	3.06%	14px	3.5%	0.11%
6➔	license plate rectangle	Cars178.png	223 x 300	26px	11.66%	48px	16%	1.87%
7➔	license plate rectangle	Cars355.png	266 x 400	37px	13.91%	76px	19%	2.64%
8➔	license plate rectangle	Cars278.png	201 x 400	26px	12.94%	38px	9.5%	1.23%
9➔	license plate rectangle	Cars179.png	267 x 400	38px	14.23%	61px	15.25%	2.17%
10➔	license plate rectangle	Cars399.png	225 x 400	100px	44.44%	204px	51%	22.67%

License #

Car License Plate Detection is under CC0 1.0 license.

Source

Citation #

If you make use of the Car License Plate data, please cite the following reference:

@misc{make ml,
title={Car License Plates Dataset},
url={https://makeml.app/datasets/cars-license-plates},
journal={Make ML}}

Source

If you are happy with Dataset Ninja and use provided visualizations and tools in your work, please cite us:

@misc{ visualization-tools-for-car-license-plate-dataset,
  title = { Visualization Tools for Car License Plate Dataset },
  type = { Computer Vision Tools },
  author = { Dataset Ninja },
  howpublished = { \url{ https://datasetninja.com/car-license-plate } },
  url = { https://datasetninja.com/car-license-plate },
  journal = { Dataset Ninja },
  publisher = { Dataset Ninja },
  year = { 2024 },
  month = { nov },
  note = { visited on 2024-11-21 },
}

Download #

Dataset Car License Plate can be downloaded in Supervisely format:

As an alternative, it can be downloaded with dataset-tools package:

pip install --upgrade dataset-tools

… using following python code:

import dataset_tools as dtools

dtools.download(dataset='Car License Plate', dst_dir='~/dataset-ninja/')

Make sure not to overlook the python code example available on the Supervisely Developer Portal. It will give you a clear idea of how to effortlessly work with the downloaded dataset.

The data in original format can be downloaded here.

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Disclaimer #

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