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Filename	2017-IWT4S-HDR_LP-dataset.zip
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2017-IWT4S-HDR_LP-dataset.zip	65.88MB

Type: Dataset
Tags:

Abstract:

This dataset focuses on recognition of license plates in low resolution and low quality images.

Citation Request

J. Špaňhel, J. Sochor, R. Juránek, A. Herout, L. Maršík and P. Zemčík, "Holistic recognition of low quality license plates by CNN using track annotated data," 2017 14th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS), Lecce, 2017, pp. 1-6. doi: 10.1109/AVSS.2017.8078501

URL: https://medusa.fit.vutbr.cz/traffic/research-topics/general-traffic-analysis/holistic-recognition-of-low-quality-license-plates-by-cnn-using-track-annotated-data-iwt4s-avss-2017/
License: Attribution-NonCommercial-ShareAlike 4.0 International

Bibtex:

@article{,
title= {Holistic Recognition of Low Quality License Plates (HDR dataset)},
keywords= {},
author= {},
abstract= {This dataset focuses on recognition of license plates in low resolution and low quality images.

![](https://i.imgur.com/4y2lGaX.png)

### Citation Request

J. Špaňhel, J. Sochor, R. Juránek, A. Herout, L. Maršík and P. Zemčík, "Holistic recognition of low quality license plates by CNN using track annotated data," 2017 14th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS), Lecce, 2017, pp. 1-6.
doi: 10.1109/AVSS.2017.8078501},
terms= {},
license= {Attribution-NonCommercial-ShareAlike 4.0 International},
superseded= {},
url= {https://medusa.fit.vutbr.cz/traffic/research-topics/general-traffic-analysis/holistic-recognition-of-low-quality-license-plates-by-cnn-using-track-annotated-data-iwt4s-avss-2017/}
}