Amsterdam Dataset for Floating Litter Detection

This dataset contains the data used for the publication:

Jia, T., de Vries, R., Kapelan, Z., van Emmerik, T. H., & Taormina, R. (2024). Detecting floating litter in freshwater bodies with semi-supervised deep learning. Water Research, 266, 122405.

The Amsterdam dataset is for detecting floating litter with computer vision. We created the Amsterdam dataset from one experiment conducted on 1st March 2023, in canals and ponds at Amsterdam, the Netherlands. We recorded images using an action camera (GoPro Hero 10). All images used in this publication are captured by the device positioned at a distance of maximum 2 m from the water surface. The image resolution is 5568*4176. This dataset consists of 9 RGB images. We manually labeled the litter items in these images with bounding boxes.

The 9 images are stored in the images.zip file, the annotations are stored in the labels_txt.zip file, and the class of the annotation (i.e., litter) is stored in the classes.txt file.

If you use this dataset for a publication, please cite the paper. Here is a BibTeX entry:

@article{jia2024detecting,
title={Detecting floating litter in freshwater bodies with semi-supervised deep learning},
author={Jia, Tianlong and de Vries, Rinze and Kapelan, Zoran and van Emmerik, Tim HM and Taormina, Riccardo},
journal={Water Research},
volume={266},
pages={122405},
year={2024},
publisher={Elsevier}
}