cff-version: 1.2.0
abstract: "<p><strong>CGHD</strong></p><p>This dataset contains images of hand-drawn electrical circuit diagrams as well as accompanying annotation and segmentation ground-truth files. It is intended to train (e.g. ANN) models for extracting electrical graphs from raster graphics.</p><p><br></p><p><strong>Content</strong></p><ul><li><strong>2.549</strong> Raw Images (Annotated)</li><li class="ql-indent-1">25 Drafters (plus Images provided by TU Dresden)</li><li class="ql-indent-1">12 Circuits per Drafter</li><li class="ql-indent-1">2 Drawings per Circuit</li><li class="ql-indent-1">4 Photos per Drawing</li><li class="ql-indent-1"><strong>212.280 </strong>Bounding Box Annotations</li><li class="ql-indent-1"><strong>29.790</strong> Rotation Annotations</li><li class="ql-indent-1"><strong>71.307</strong> Text String Annotations</li><li><strong>264</strong> Binary Segmentation Maps (Annotated)</li><li class="ql-indent-1">Strokes vs. Background</li><li class="ql-indent-1">Accompanying Polygon Annotation Files</li><li class="ql-indent-1"><strong>20.060</strong>&nbsp;Polygon Annotations</li><li><strong>59 </strong>Object Classes</li><li><strong>Scripts</strong> for Data Loading, Statistics, Consistency Check and Training Preparation</li></ul>"
authors:
  - family-names: Bayer
    given-names: Johannes
    orcid: "https://orcid.org/0000-0002-0728-8735"
title: "A Public Ground-Truth Dataset for Handwritten Circuit Diagram Images"
keywords:
version: 1
identifiers:
  - type: doi
    value: 10.4121/ad04db6b-cf81-438d-9506-80ba8184bb10.v1
license: CC BY-SA 4.0
date-released: 2024-01-23