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

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Published November 3, 2022 | Version 5
Dataset Open

A Public Ground-Truth Dataset for Handwritten Circuit Diagram Images

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

  • 2.208 Raw Images
    • 23 Drafters
    • 12 Circuits per Drafter
    • 2 Drawings per Circuit
    • 4 Photos per Drawing
    • 185.641 Bounding Box Annotations
  • 235 Binary Segmentation Maps
    • Strokes vs. Background
    • Accompanying Polygon Annotation Files
    • 17.577 Polygon Annotations
  • 58 Object Classes
  • Scripts for Data Loading, Statistics, Consistency Check and Training Preparation

Notes

- Added 1 more drafter since version 4

Files

cghd-zenodo-5.zip

Files (2.7 GB)

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md5:efdde00e7da57898ddb396a0888f62b6
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)