[{"abstract":[{"text":"Selecting an appropriate semantic segmentation model for a given application domain remains a challenging and time-consuming task for practitioners and researchers. This paper presents an interactive, web-based platform that enables side-by-side visual comparison of multiple neural network segmentation models applied to identical images. The system integrates three transformer-based segmentation models: a face-parsing network producing 19 semantic classes, a SegFormer-B3 clothing segmentation model with 18 classes, and a Mask2Former model for general-purpose scene segmentation spanning 150 ADE20K categories. Key contributions include side-by-side evaluation of model outputs across multiple architectures and image categories, with real-time segment highlighting and a scalable inference caching system that enables model comparisons without requiring repeated graphics processing unit (GPU) computation. The platform organizes a curated dataset of images under a hierarchical category taxonomy, supporting structured evaluation across demographic and contextual variables. As a practical use case, the system is applied within the ADRIAN project to assist in verifying identity consistency across images through segmentation-based analysis. The platform thus contributes a specialized artificial intelligence (AI) tool for systematic segmentation and object detection model evaluation within media analysis pipelines, where selecting appropriate models is a recurring challenge across tasks from identity verification to content moderation. It is available under https://github.com/vika-v-v/neural-networks-for-image-segmentation and designed to lower the barrier for comparative model evaluation in applied computer vision workflows.","lang":"eng"}],"_id":"7002","editor":[{"first_name":"Stephan","last_name":"Böhm","full_name":"Böhm, Stephan"},{"first_name":"Petra","full_name":"Ahrweiler, Petra","last_name":"Ahrweiler"},{"first_name":"Johannes","last_name":"Gutenberg","full_name":"Gutenberg, Johannes"},{"first_name":"Clement ","full_name":"Leung, Clement ","last_name":"Leung"}],"year":"2026","language":[{"iso":"eng"}],"date_updated":"2026-07-27T12:17:01Z","publisher":"IARIA","author":[{"first_name":"Viktoriia","id":"252442","orcid_put_code_url":"https://api.orcid.org/v2.0/0009-0004-9798-1112/work/218229773","last_name":"Vovchenko","orcid":"0009-0004-9798-1112","full_name":"Vovchenko, Viktoriia"},{"orcid":"0009-0005-6858-9813","full_name":"Schultenkämper, Sergej","last_name":"Schultenkämper","first_name":"Sergej","orcid_put_code_url":"https://api.orcid.org/v2.0/0009-0005-6858-9813/work/218229775","id":"236164"},{"first_name":"Frederik","orcid_put_code_url":"https://api.orcid.org/v2.0/0000-0002-0826-0144/work/218229776","id":"241734","last_name":"Bäumer","orcid":"0000-0002-0826-0144","full_name":"Bäumer, Frederik"}],"citation":{"bibtex":"@inproceedings{Vovchenko_Schultenkämper_Bäumer, title={A Web-Based Platform for Interactive Comparison of Neural Network Image Segmentation Models}, booktitle={2026 The Second International Conference on AI-based Media Innovation}, publisher={IARIA}, author={Vovchenko, Viktoriia and Schultenkämper, Sergej and Bäumer, Frederik}, editor={Böhm, Stephan and Ahrweiler, Petra and Gutenberg, Johannes and Leung, Clement Editors} }","apa":"Vovchenko, V., Schultenkämper, S., &#38; Bäumer, F. (n.d.). A Web-Based Platform for Interactive Comparison of Neural Network Image Segmentation Models. In S. Böhm, P. Ahrweiler, J. Gutenberg, &#38; C. Leung (Eds.), <i>2026 The Second International Conference on AI-based Media Innovation</i>. Nizza, Frankreich: IARIA.","alphadin":"<span style=\"font-variant:small-caps;\">Vovchenko, Viktoriia</span> ; <span style=\"font-variant:small-caps;\">Schultenkämper, Sergej</span> ; <span style=\"font-variant:small-caps;\">Bäumer, Frederik</span>: A Web-Based Platform for Interactive Comparison of Neural Network Image Segmentation Models. In: <span style=\"font-variant:small-caps;\">Böhm, S.</span> ; <span style=\"font-variant:small-caps;\">Ahrweiler, P.</span> ; <span style=\"font-variant:small-caps;\">Gutenberg, J.</span> ; <span style=\"font-variant:small-caps;\">Leung, C.</span> (Hrsg.): <i>2026 The Second International Conference on AI-based Media Innovation</i> : IARIA","ieee":"V. Vovchenko, S. Schultenkämper, and F. Bäumer, “A Web-Based Platform for Interactive Comparison of Neural Network Image Segmentation Models,” in <i>2026 The Second International Conference on AI-based Media Innovation</i>, Nizza, Frankreich.","ama":"Vovchenko V, Schultenkämper S, Bäumer F. A Web-Based Platform for Interactive Comparison of Neural Network Image Segmentation Models. In: Böhm S, Ahrweiler P, Gutenberg J, Leung C, eds. <i>2026 The Second International Conference on AI-Based Media Innovation</i>. IARIA.","mla":"Vovchenko, Viktoriia, et al. “A Web-Based Platform for Interactive Comparison of Neural Network Image Segmentation Models.” <i>2026 The Second International Conference on AI-Based Media Innovation</i>, edited by Stephan Böhm et al., IARIA.","short":"V. Vovchenko, S. Schultenkämper, F. Bäumer, in: S. Böhm, P. Ahrweiler, J. Gutenberg, C. 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Vol. 2, no. 2025, 2025, doi:<a href=\"https://doi.org/10.60802/sidas.2025.2\">10.60802/sidas.2025.2</a>.","ama":"Bäumer F, Brandt-Pook H, Huppert C, et al. Für eine inklusive digitale Zukunft: Ableismus-sensible Chatbots gestalten. 2025;2(2025). doi:<a href=\"https://doi.org/10.60802/sidas.2025.2\">10.60802/sidas.2025.2</a>","chicago":"Bäumer, Frederik, Hans Brandt-Pook, Christian Huppert, Yves Šir, Alexander Stahlkopf, Florian Sang, and Nadja Ullrich. “Für eine inklusive digitale Zukunft: Ableismus-sensible Chatbots gestalten.” Schriftenreihe des Institute for Data Science Solutions, 2025. <a href=\"https://doi.org/10.60802/sidas.2025.2\">https://doi.org/10.60802/sidas.2025.2</a>.","short":"F. Bäumer, H. Brandt-Pook, C. Huppert, Y. Šir, A. Stahlkopf, F. Sang, N. Ullrich, 2 (2025).","alphadin":"<span style=\"font-variant:small-caps;\">Bäumer, Frederik</span> ; <span style=\"font-variant:small-caps;\">Brandt-Pook, Hans</span> ; <span style=\"font-variant:small-caps;\">Huppert, Christian</span> ; <span style=\"font-variant:small-caps;\">Šir, Yves</span> ; <span style=\"font-variant:small-caps;\">Stahlkopf, Alexander</span> ; <span style=\"font-variant:small-caps;\">Sang, Florian</span> ; <span style=\"font-variant:small-caps;\">Ullrich, Nadja</span>: Für eine inklusive digitale Zukunft: Ableismus-sensible Chatbots gestalten. In: , <i>Schriftenreihe des Institute for Data Science Solutions</i>. Bd. 2 (2025), Nr. 2025","bibtex":"@article{Bäumer_Brandt-Pook_Huppert_Šir_Stahlkopf_Sang_Ullrich_2025, series={Schriftenreihe des Institute for Data Science Solutions}, title={Für eine inklusive digitale Zukunft: Ableismus-sensible Chatbots gestalten}, volume={2}, DOI={<a href=\"https://doi.org/10.60802/sidas.2025.2\">10.60802/sidas.2025.2</a>}, number={2025}, author={Bäumer, Frederik and Brandt-Pook, Hans and Huppert, Christian and Šir, Yves and Stahlkopf, Alexander and Sang, Florian and Ullrich, Nadja}, year={2025}, collection={Schriftenreihe des Institute for Data Science Solutions} }","apa":"Bäumer, F., Brandt-Pook, H., Huppert, C., Šir, Y., Stahlkopf, A., Sang, F., &#38; Ullrich, N. (2025). Für eine inklusive digitale Zukunft: Ableismus-sensible Chatbots gestalten. Presented at the KI2025@HSBI, Bielefeld. <a href=\"https://doi.org/10.60802/sidas.2025.2\">https://doi.org/10.60802/sidas.2025.2</a>","ieee":"F. 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Geierhos, “Track Me If You Can: Insights into Profile Interlinking on Social Networks,” in <i>Proceedings of the Fourteenth International Conference on Pervasive Patterns and Applications (PATTERNS 2022): Special Track AI-DRSWA: Maturing Artificial Intelligence - Data Science for Real-World Applications.</i>, 2022."},"language":[{"iso":"eng"}],"_id":"2716","year":"2022","date_created":"2023-04-05T13:40:40Z","title":"Track Me If You Can: Insights into Profile Interlinking on Social Networks","department":[{"_id":"4b2dc5c9-bee3-11eb-b75f-ecc80f94fb21"}],"quality_controlled":"1","publication":"Proceedings of the Fourteenth International Conference on Pervasive Patterns and Applications (PATTERNS 2022): Special Track AI-DRSWA: Maturing Artificial Intelligence - Data Science for Real-World Applications.","main_file_link":[{"url":"https://www.thinkmind.org/articles/patterns_2022_1_40_78004.pdf"}],"user_id":"250307","type":"conference"}]
