A Public Ground-Truth Dataset for Handwritten Circuit Diagram Images

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

3.173 Annotated Raw Images

30 Drafters

12 Circuits per Drafter

2 Drawings per Circuit

4 Photos per Drawing

Additional Circuit Images provided by TU Dresden (from Real-World Examinations, Drafter 0)

Additional Circuit Images provided by RPTU Kaiserslautern-Landau (Drafter -1)

245.962 Bounding Box Annotations

39.955 Rotation Annotations

1.339 Mirror Annotations

84.431 Text String Annotations (equals 93.41% completeness)

286.467 Text Characters

98 Character Types (Upper/Lower Case Latin, Numbers, Special Characters)

284 Binary Segmentation Maps

Strokes vs. Background

Accompanying Polygon Annotation Files

21.186 Polygon Annotations

59 Object Classes

Scripts for Data Loading, Statistics, Consistency Check and Training Preparation