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Published November 3, 2022 | Version 4

A Public Ground-Truth Dataset for Handwritten Circuit Diagram Images

  • 1. DFKI

Description

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 the purpose of the extraction of electrical graphs from raster graphics. Content:

  • 2.112 Raw Images
    • 22 Drafters
    • 12 Circuits per Drafter
    • 2 Drawings per Circuit
    • 4 Photos per Drawing
  • 175.573 Bounding Box Annotations
  • 58 Object Classes
  • 229 Binary Segmentation Maps
    • Strokes vs. Background
    • Accompanying Polygon Annotation Files

Notes

- Added 1 more drafter since version 3 - Completely Revised Polygon Annotations - Extended (Instance) Segmentation Processing Script

Files

cghd-zenodo-4.zip

Files (2.5 GB)

Name Size
md5:11e8ea0a484d574024c83cf4a76fb9e2
2.5 GB Preview Download

Additional details

Related works

Is described by
Preprint: https://arxiv.org/abs/2107.10373 (URL)
Conference paper: 10.1007/978-3-030-86198-8_2 (DOI)