Sense-ALPR Database

This dataset, called Sense-ALPR Database, was created to help researchers evaluating automatic license plate recognition problems. The data for the paper Real-time Automatic License Plate Recognition Through Deep Multi-Task Networks  (link to the research page) was captured during the day using two cameras: one placed static while recording the vehicles that were passing by and another placed within a vehicle that moved accross the city.

Data Data

The images of the dataset are in Full-HD and are available in the Portable Network Graphics (PNG) format with 1920×1080 pixels each. The entire dataset contains a total of 35 Gigabytes. There are 3,595 training samples, 2,360 testing samples and 705 validation samples, totalizing 6,660 images with 8,683 license plates from 815 different vehicles. The license plates have sizes varying from 5×12 pixels to 86×196 pixels. On average, the license plates images have size of 22×57 pixels (aspect ratio of 0.38). The average size of each file is 2.4 MB.

To be able to download the dataset, please read carefully this agreement, fill it and send it back to one of the suggested e-mails. The license agreement MUST be reviewed and signed by the individual or entity authorized to make legal commitments on behalf of the institution or corporation (e.g., Department or Administrative Head or similar). We cannot accept agreements signed by students or faculty members.

Note: in the SSIG-ALPR dataset, only images in the folder named “Samples_to_Show” can be used for illustrations of scholarly posters, presentations or shown in publications.

References

You should cite the following paper if you use this dataset in your work.

Gabriel Resende Gonçalves; Matheus Alves Diniz; Rayson Laroca; David Menotti; William Robson Schwartz: Real-time Automatic License Plate Recognition Through Deep Multi-Task Networks. In: Conference on Graphic, Patterns and Images (SIBGRAPI), pp. 1-8, 2018. (Type: Inproceedings | Links | BibTeX)

Related Publications

Gabriel Resende Gonçalves; Matheus Alves Diniz; Rayson Laroca; David Menotti; William Robson Schwartz

Real-time Automatic License Plate Recognition Through Deep Multi-Task Networks Inproceedings

In: Conference on Graphic, Patterns and Images (SIBGRAPI), pp. 1-8, 2018.

Links | BibTeX

Gabriel Resende Gonçalves; David Menotti; William Robson Schwartz

License Plate Recognition based on Temporal Redundancy Inproceedings

In: IEEE International Conference on Intelligent Transportation Systems (ITSC), pp. 1-5, 2016.

Links | BibTeX

Gabriel Resende Gonçalves; Sirlene Pio Gomes da Silva; David Menotti; William Robson Schwartz

Benchmark for License Plate Character Segmentation Journal Article

In: Journal of Electronic Imaging, 25 (5), pp. 1-5, 2016, ISBN: 1017-9909.

Links | BibTeX

Gabriel Resende Goncalves

License Plate Recognition based on Temporal Redundancy Masters Thesis

Federal University of Minas Gerais, 2016.

Abstract | Links | BibTeX

Sirlene Peixoto; Gabriel Resende Gonçalves; Guillermo Camara-Chavez; William Robson Schwartz; David Menotti Gomes

Brazilian License Plate Character Recognition using Deep Learning Inproceedings

In: Workshop em Visao Computacional (WVC), pp. 1-5, 2015.

Links | BibTeX

Raphael Felipe Carvalho de Prates; G Camara-Chavez; William Robson Schwartz; D M Gomes

An Adaptive Vehicle License Plate Detection at Higher Matching Degree Inproceedings

In: Iberoamerican Congress on Pattern Recognition (CIARP), pp. 454-461, Springer International Publishing, 2014.

Links | BibTeX

Raphael Felipe Carvalho de Prates; G Camara-Chavez; William Robson Schwartz; D Menotti

Brazilian License Plate Detection Using Histogram of Oriented Gradients and Sliding Windows Journal Article

In: International Journal of Computer Science and Information Technology, 5 , pp. 39-52, 2013.

Links | BibTeX