Oostpoort Dataset for Floating Litter Detection

<p>This dataset contains the data used for the publication:</p> <p>Jia, T., de Vries, R., Kapelan, Z., van Emmerik, T. H., &amp; Taormina, R. (2024). Detecting floating litter in freshwater bodies with semi-supervised deep learning.&nbsp;<em>Water Research</em>,&nbsp;<em>266</em>, 122405.</p> <p>The Oostpoort dataset is for detecting floating litter with computer vision. We generated this dataset from experiments conducted during 26 days from February to March 2022, in a canal at Oostpoort, Delft, the Netherlands. We collected data employing action cameras (GoPro MAX 360 and GoCam3) mounted outside the windows of a tower at Oostpoort with a viewing angle of 0 degree. We recorded video sequences with a time-lapse recording (1 image/30 sec) and a FPS (frame per second) of 17.98. We generated the Oostpoort dataset by saving images from these videos. The resolution of images are 3840*2160 and 1920*1440. This dataset consists of 562 RGB images. We manually labeled the litter items in these images with bounding boxes.</p> <p>The 562 images are stored in the&nbsp;<em>images.zip</em>&nbsp;file, the annotations are stored in the&nbsp;<em>labels_txt.zip</em>&nbsp;file, and the class of the annotation (i.e., litter) is stored in the&nbsp;<em>classes.txt</em> file. The&nbsp;<em>Oostpoort Dataset.xlsx</em> file contains the detailed information of images, including collecting date, collecting time, device, device location (in a bridge), device degree, device height, weather conditions, the number of images, and the number of annotated litter items.</p> <p>&nbsp;</p> <p>If you use this dataset for a publication, please cite the paper. Here is a BibTeX entry:</p> <pre>@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} }</pre>