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superseded= {},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/}
}


Support
Academic Torrents!

Disable your
ad-blocker!

10 day statistics (1 downloads taking more than 30 seconds)

Average Time 5 minutes, 01 seconds
Average Speed 218.88kB/s
Best Time 5 minutes, 01 seconds
Best Speed 218.88kB/s
Worst Time 5 minutes, 01 seconds
Worst Speed 218.88kB/s
Report