---
_id: '7002'
abstract:
- lang: eng
  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.'
author:
- first_name: Viktoriia
  full_name: Vovchenko, Viktoriia
  id: '252442'
  last_name: Vovchenko
  orcid: 0009-0004-9798-1112
  orcid_put_code_url: https://api.orcid.org/v2.0/0009-0004-9798-1112/work/218229773
- first_name: Sergej
  full_name: Schultenkämper, Sergej
  id: '236164'
  last_name: Schultenkämper
  orcid: 0009-0005-6858-9813
  orcid_put_code_url: https://api.orcid.org/v2.0/0009-0005-6858-9813/work/218229775
- first_name: Frederik
  full_name: Bäumer, Frederik
  id: '241734'
  last_name: Bäumer
  orcid: 0000-0002-0826-0144
  orcid_put_code_url: https://api.orcid.org/v2.0/0000-0002-0826-0144/work/218229776
citation:
  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: <i>2026 The Second International Conference on
    AI-based Media Innovation</i> : IARIA'
  ama: 'Vovchenko V, Schultenkämper S, Bäumer F. 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>. IARIA.'
  apa: 'Vovchenko, V., Schultenkämper, S., &#38; Bäumer, F. (n.d.). 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:
    IARIA.'
  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}
    }'
  chicago: Vovchenko, Viktoriia, Sergej Schultenkämper, and Frederik 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>.
    IARIA, n.d.
  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.
  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>, IARIA.
  short: 'V. Vovchenko, S. Schultenkämper, F. Bäumer, in: 2026 The Second International
    Conference on AI-Based Media Innovation, IARIA, n.d.'
conference:
  end_date: 2026-07-09
  location: Nizza, Frankreich
  name: 2026 The Second International Conference on AI-based Media Innovation
  start_date: 2026-07-05
date_created: 2026-06-19T16:31:47Z
date_updated: 2026-06-22T08:25:46Z
keyword:
- segmentation
- model comparison
- face parsing
language:
- iso: eng
publication: 2026 The Second International Conference on AI-based Media Innovation
publication_status: accepted
publisher: IARIA
status: public
title: A Web-Based Platform for Interactive Comparison of Neural Network Image Segmentation
  Models
type: conference
user_id: '220548'
year: '2026'
...