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TUD-IPB Dataset for Detecting the Interaction between Particles and Biomass

<p>This dataset contains the data used for the following publications:</p> <div> <pre>(1) Jia, T., Peng, Z., Yu, J., Piaggio, A. L., Zhang, S., &amp; de Kreuk, M. K. (2024). Detecting the interaction between microparticles and biomass in biological wastewater treatment process with Deep Learning method. Science of The Total Environment, 175813. <a title="Persistent link using digital object identifier" href="https://doi.org/10.1016/j.scitotenv.2024.175813" target="_blank" rel="noreferrer noopener"><span><span>https://doi.org/10.1016/j.scitotenv.2024.175813</span></span></a><br><br>(2) Jia, T., Yu, J., Sun, A., Wu, Y., Zhang, S., &amp; Peng, Z. (2025). Semi-supervised learning-based identification of the attachment between sludge and microparticles in wastewater treatment. Journal of Environmental Management, 375, 124268. <a title="Persistent link using digital object identifier" href="https://doi.org/10.1016/j.jenvman.2025.124268" target="_blank" rel="noreferrer noopener"><span><span>https://doi.org/10.1016/j.jenvman.2025.124268</span></span></a></pre> </div> <p>The "TU Delft-Interaction between Particles and Biomass&rdquo; (TUD-IPB) dataset is for detecting the interaction between microparticles and biomass in biological wastewater treatment process &nbsp;with computer vision. We created this dataset from the experiments conducted in water lab of TU Delft (Stevinweg 1, Delft, Netherlands). The experiment details can be found in the publication. This dataset includes microscope images and mask annotations, that shows the shape and location of free particles and entrapped particles in images.</p> <p>The images are stored in the&nbsp;<em>images.zip</em> file, the annotations are stored in the <em>labels_txt.zip</em> file, and the classes of the annotation (i.e., entrap particle and free particle) is stored in the <em>classes.txt</em> file.</p> <p>The filenames of images and annotations includes three parts: Sampling time (the first part), the diameter of biomass (the middle part), and image number (the last part). Details of the first two parts and their meanings are provided in the following table.</p> <p>Explanation of Filename Components and Their Meanings</p> <table> <tbody> <tr> <td>The first part of filename</td> <td>Sampling time&nbsp;</td> <td>The middle part of filename</td> <td>Diameter of biomass (mm)</td> </tr> <tr> <td>A10</td> <td>10 min</td> <td>bigger3-0</td> <td>&gt;3.1</td> </tr> <tr> <td>A30</td> <td>30 min</td> <td>2-0-3-0</td> <td>2.0-3.1</td> </tr> <tr> <td>A60</td> <td>60 min</td> <td>1-0-2-0</td> <td>1.0-2.0</td> </tr> <tr> <td>&nbsp;</td> <td>&nbsp;</td> <td>0-2-1-0</td> <td>0.2-1.0</td> </tr> <tr> <td>&nbsp;</td> <td>&nbsp;</td> <td>smaller0-2</td> <td>&lt; 0.2</td> </tr> </tbody> </table> <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 the interaction between microparticles and biomass in biological wastewater treatment process with Deep Learning method}, author={Jia, Tianlong and Peng, Zhaoxu and Yu, Jing and Piaggio, Antonella L and Zhang, Shuo and de Kreuk, Merle K}, journal={Science of The Total Environment}, pages={175813}, year={2024}, publisher={Elsevier} }<br><br>@article{jia2025semi,<br>&nbsp; title={Semi-supervised learning-based identification of the attachment between sludge and microparticles in wastewater treatment},<br>&nbsp; author={Jia, Tianlong and Yu, Jing and Sun, Ao and Wu, Yipeng and Zhang, Shuo and Peng, Zhaoxu},<br>&nbsp; journal={Journal of Environmental Management},<br>&nbsp; volume={375},<br>&nbsp; pages={124268},<br>&nbsp; year={2025},<br>&nbsp; publisher={Elsevier}<br>}</pre>

ShareScore

40/100

Overall dataset sharing score

Score breakdown

These five areas show where the dataset supports — or may limit — practical reuse.

Stewardship
4
Harmonization
4
Access
20
Reuse readiness
8
Engagement
4