Deep learning for the estimation of water-levels using river cameras: networks and datasets

How to cite this Dataset

Vandaele, Remy, Dance, Sarah and Ojha, Varun (2021): Deep learning for the estimation of water-levels using river cameras: networks and datasets. University of Reading. Dataset. https://doi.org/10.17864/1947.282

Description

This dataset contains:
- The networks weights (weights.zip) that were obtained and used in our papers [1, 2]. We refer to these papers for the methodology used to obtain those weights. Those weights can be used for the binary water semantic segmentation of new images, or for comparison with our methods.
- The river camera images (DIGLIS.zip/EVESHAM.zip/STRENSHAM.zip/TEWKESBURY.zip) for the experiments that we presented in [2]. The images can be used for water segmentation and flood analysis purposes.

Related publications:
[1] Remy Vandaele, Sarah L. Dance, Varun Ojha; Automated water segmentation and river level detection on camera images using transfer learning; 2020; Proceedings of the DAGM German Conference on Pattern Recognition (Accepted)
[2] Remy Vandaele, Sarah L. Dance, Varun Ojha; Deep learning for the estimation of water-levels using river cameras; 2020; Hydrology and Earth System Science (in preparation)

Resource Type:

Dataset

Creators:

Vandaele, Remy, Dance, Sarah