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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. 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(2022). 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>","bibtex":"@inproceedings{Denisov_Bäumer_Geierhos_2022, title={Track Me If You Can: Insights into Profile Interlinking on Social Networks}, booktitle={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.}, author={Denisov, Sergej and Bäumer, Frederik and Geierhos, Michaela}, year={2022} }","ama":"Denisov S, Bäumer F, Geierhos M. 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.","alphadin":"<span style=\"font-variant:small-caps;\">Denisov, Sergej</span> ; <span style=\"font-variant:small-caps;\">Bäumer, Frederik</span> ; <span style=\"font-variant:small-caps;\">Geierhos, Michaela</span>: Track Me If You Can: Insights into Profile Interlinking on Social Networks. 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Geierhos, in: 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., 2022."},"department":[{"_id":"4b2dc5c9-bee3-11eb-b75f-ecc80f94fb21"}],"author":[{"last_name":"Denisov","orcid":"0009-0005-6858-9813","first_name":"Sergej","full_name":"Denisov, Sergej","orcid_put_code_url":"https://api.orcid.org/v2.0/0009-0005-6858-9813/work/217380493","id":"236164"},{"full_name":"Bäumer, Frederik","orcid_put_code_url":"https://api.orcid.org/v2.0/0000-0002-0826-0144/work/217380494","orcid":"0000-0002-0826-0144","last_name":"Bäumer","first_name":"Frederik","id":"241734"},{"full_name":"Geierhos, Michaela","first_name":"Michaela","last_name":"Geierhos"}],"status":"public","date_updated":"2026-06-11T09:51:44Z","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.","date_created":"2023-04-05T13:40:40Z","user_id":"250307","language":[{"iso":"eng"}],"quality_controlled":"1","title":"Track Me If You Can: Insights into Profile Interlinking on Social Networks","year":"2022","type":"conference"}]