Groningen 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 Groningen dataset is for detecting floating litter with computer vision. We conducted several experiments in a canal in Groningen, the Netherlands, in 2023. We captured data employing a security cameras (Obscape HQ time-lapse), mounted on a bridge at a height of 4m. We recorded images with a time-lapse recording (1 image/6 sec). The image resolution is 2592*1944. This dataset consists of 63 RGB images. We manually labeled the litter items in these images with bounding boxes. The 63 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} }