IAPR-TC11: Association for Pattern Recognition Technical Committee Number 11

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Published May 16, 2023 | Version 9
Dataset Open

A Public Ground-Truth Dataset for Handwritten Circuit Diagram Images

Authors/Creators

  • 1. DFKI

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

  • 2.304 Raw Images
    • 24 Drafters
    • 12 Circuits per Drafter
    • 2 Drawings per Circuit
    • 4 Photos per Drawing
    • 193.808 Bounding Box Annotations
    • 21.298 Rotation Annotations
    • 51.956 Text String Annotations
  • 252 Binary Segmentation Maps
    • Strokes vs. Background
    • Accompanying Polygon Annotation Files
    • 18.521 Polygon Annotations
  • 59 Object Classes
  • Scripts for Data Loading, Statistics, Consistency Check and Training Preparation

Notes

Added first version of text string annotations, corrected and added rotation annotation.

Files

cghd-zenodo-9.zip

Files (2.7 GB)

Name Size
md5:f4d2df0d28decd48221074383c0dc49e
2.7 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)
Preprint: https://arxiv.org/abs/2301.03155 (URL)
Poster: 10.5281/zenodo.7652836 (DOI)