Holistic Recognition of Low Quality License Plates (HDR dataset)

2017-IWT4S-HDR_LP-dataset.zip65.88MB
Type: Dataset
Tags:

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superseded= {},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/}
}


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