Holistic Recognition of Low Quality License Plates (HDR dataset)

2017-IWT4S-HDR_LP-dataset.zip 65.88MB
Type: Dataset
Tags:

Metadata:
@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superseded= {},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/}
}

Citation:
Holistic Recognition of Low Quality License Plates (HDR dataset). (2018). [Data set]. Academic Torrents. https://academictorrents.com/details/8ed33d02d6b36c389dd077ea2478cc83ad117ef3
Hosted by users

Send Feedback Start
   0.000008
DB Connect
   0.000702
Lookup hash in DB
   0.000617
Get torrent details
   0.000178
Get torrent details, finished
   0.000295
Get authors
   0.000000
Select authors
   0.000206
Parse bibtex
   0.000165
Write header
   0.000311
get stars
   0.000138
home tab
   0.000212
render right panel
   0.000006
render ads
   0.000856
fetch current hosters
   0.000470
related datasets
   0.007333
Done