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 3.269 Annotated Raw Images 31 Main 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) 248.020 Bounding Box Annotations 40.711 Rotation Annotations 1.437 Mirror Annotations 85.417 Text String Annotations (equals 93.74% completeness) 289.850 Text Characters 98 Character Types (Upper/Lower Case Latin, Numbers, Special Characters) 320 Binary Segmentation Maps Strokes vs. Background Accompanying Polygon Annotation Files 22.929 Polygon Annotations 59 Object Classes Scripts for Data Loading, Statistics, Consistency Check and Training Preparation