LP-Night dataset containing photos with license plates captured at night.
This dataset was introduced in the paper “A new augmentation-based method for text detection in night and day license plate images” and “A new U-net based license plate enhancement model in night and day images”. It includes images of different vehicles, blur, multi-script, imbalanced illumination, orientation, and perspective. The images have a resolution {Min: (2067 x 2066); Max: (3120 x 4160) } and are taken at night.
The annotations are released under Creative Commons Attribution 4.0 License. The authors do not claim rights to the photos in the LP-Night dataset. We only collect publicly available images and annotate them for research purpose. Request to exclude any/all photos from LP-Night dataset should be addressed to mail@pinakinathc.me
Chowdhury et al. "A new U-net based license plate enhancement model in night and day images", In Asian Conference on Pattern Recognition, 2019.
Chowdhury et al. "A new augmentation-based method for text detection in night and day license plate images", Multimedia Tools and Applications, 2020.
or
@inproceedings{chowdhuryACPR2019,
title={A new U-net based license plate enhancement model in night and day images},
author={Chowdhury, Pinaki Nath and Shivakumara, Palaiahnakote and Raghavendra, Ramachandra and Pal, Umapada and Lu, Tong and Blumenstein, Michael},
proceedings={Asian Conference on Pattern Recognition},
year={2019}
}
@article{chowdhuryMTAP2020,
title={A new augmentation-based method for text detection in night and day license plate images},
author={Chowdhury, Pinaki Nath and Shivakumara, Palaiahnakote and Pal, Umapada and Lu, Tong and Blumenstein, Michael},
journal={Multimedia Tools and Applications (MTAP)},
year={2020}
}
Please note, downloading this dataset means you agree to the above mentioned Terms and Conditions. This dataset is only provided for non-comercial purposes. For comercial use, please contact authors at mail@pinakinathc.me
Download from Google Drive: [Raw Unlabelled] [Annotated 100 images]