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Car License Plate Dataset

43312041
Tagsurveillance
Taskobject detection
Release YearMade in 2020
LicenseCC0 1.0
Download205 MB

Summary #

Dataset LinkHomepage

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.

Dataset Poster

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.

OpenSample annotation mask from Car License PlateSample image from Car License Plate
OpenSample annotation mask from Car License PlateSample image from Car License Plate
OpenSample annotation mask from Car License PlateSample image from Car License Plate
OpenSample annotation mask from Car License PlateSample image from Car License Plate
OpenSample annotation mask from Car License PlateSample image from Car License Plate
OpenSample annotation mask from Car License PlateSample image from Car License Plate
OpenSample annotation mask from Car License PlateSample image from Car License Plate
OpenSample annotation mask from Car License PlateSample image from Car License Plate
OpenSample annotation mask from Car License PlateSample image from Car License Plate
OpenSample annotation mask from Car License PlateSample image from Car License Plate
OpenSample annotation mask from Car License PlateSample image from Car License Plate
OpenSample annotation mask from Car License PlateSample image from Car License Plate
OpenSample annotation mask from Car License PlateSample image from Car License Plate
OpenSample annotation mask from Car License PlateSample image from Car License Plate
OpenSample annotation mask from Car License PlateSample image from Car License Plate
OpenSample annotation mask from Car License PlateSample image from Car License Plate
OpenSample annotation mask from Car License PlateSample image from Car License Plate
OpenSample annotation mask from Car License PlateSample image from Car License Plate
OpenSample annotation mask from Car License PlateSample image from Car License Plate
OpenSample annotation mask from Car License PlateSample image from Car License Plate
OpenSample annotation mask from Car License PlateSample image from Car License Plate
OpenSample annotation mask from Car License PlateSample image from Car License Plate
OpenSample annotation mask from Car License PlateSample image from Car License Plate
OpenSample annotation mask from Car License PlateSample image from Car License Plate
OpenSample annotation mask from Car License PlateSample image from Car License Plate
OpenSample annotation mask from Car License PlateSample image from Car License Plate
OpenSample annotation mask from Car License PlateSample image from Car License Plate
OpenSample annotation mask from Car License PlateSample image from Car License Plate
OpenSample annotation mask from Car License PlateSample image from Car License Plate
OpenSample annotation mask from Car License PlateSample image 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.

Search
Rows 1-1 of 1
Class
γ…€
Images
γ…€
Objects
γ…€
Count on image
average
Area on image
average
license plateβž”
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.

Search
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.

Spatial Heatmap

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.

Search
Rows 1-10 of 471
Object ID
γ…€
Class
γ…€
Image name
click row to open
Image size
height x width
Height
γ…€
Height
γ…€
Width
γ…€
Width
γ…€
Area
γ…€
1βž”
license plate
rectangle
Cars184.png
225 x 400
14px
6.22%
50px
12.5%
0.78%
2βž”
license plate
rectangle
Cars321.png
400 x 301
12px
3%
36px
11.96%
0.36%
3βž”
license plate
rectangle
Cars429.png
400 x 301
30px
7.5%
123px
40.86%
3.06%
4βž”
license plate
rectangle
Cars103.png
196 x 400
6px
3.06%
19px
4.75%
0.15%
5βž”
license plate
rectangle
Cars103.png
196 x 400
6px
3.06%
14px
3.5%
0.11%
6βž”
license plate
rectangle
Cars178.png
223 x 300
26px
11.66%
48px
16%
1.87%
7βž”
license plate
rectangle
Cars355.png
266 x 400
37px
13.91%
76px
19%
2.64%
8βž”
license plate
rectangle
Cars278.png
201 x 400
26px
12.94%
38px
9.5%
1.23%
9βž”
license plate
rectangle
Cars179.png
267 x 400
38px
14.23%
61px
15.25%
2.17%
10βž”
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 = { feb },
  note = { visited on 2024-02-24 },
}

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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