SoftwareApplication
name: A Public Ground-Truth Dataset for Handwritten Circuit Diagram Images
description: A Public Ground-Truth Dataset for Handwritten Circuit Diagram Images
description: CGHD 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. Content 2.549 Raw Images (Annotated)25 Drafters (plus Images provided by TU Dresden)12 Circuits per Drafter2 Drawings per Circuit4 Photos per Drawing212.280 Bounding Box Annotations29.790 Rotation Annotations71.307 Text String Annotations264 Binary Segmentation Maps (Annotated)Strokes vs. BackgroundAccompanying Polygon Annotation Files20.060 Polygon Annotations59 Object ClassesScripts for Data Loading, Statistics, Consistency Check and Training Preparation
code repository: https://data.4tu.nl/v3/datasets/a48923fe-2371-486d-80ba-5056fde13f3a.git
author: https://orcid.org/0000-0002-0728-8735
keywords: Object Recognition
keywords: Circuit Diagram
keywords: CircuitGraph
keywords: Handwriting Recognition
keywords: semantic segmentation
keywords: Schematic
keywords: CGHD
programming language: JSON
programming language: Markdown
programming language: Other
programming language: Python
programming language: XML
license:
  creative work: creativeWork
    name: CC-BY-SA-4.0
reference publication: 978-3-030-86198-8 2

https://orcid.org/0000-0002-0728-8735
type: Person
given name: Johannes
family name: Bayer
name: Johannes Bayer

978-3-030-86198-8 2
type: ScholarlyArticle
name: A Public Ground-Truth Dataset for Handwritten Circuit Diagram Images
pagination: 20-27
url: https://doi.org/10.1007%2F978-3-030-86198-8_2