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 2.837 Annotated Raw Images 28 Drafters Additional Examination Circuit Images provided by TU Dresden 12 Circuits per Drafter 2 Drawings per Circuit 4 Photos per Drawing 231.158 Bounding Box Annotations 36.009 Rotation Annotations 78.928 Text String Annotations (equals 92.99% completeness) 269.106 Text Characters 96 Character Types (Upper/Lower Case Latin, Numbers, Special Characters) 267 Binary Segmentation Maps Strokes vs. Background Accompanying Polygon Annotation Files 20.199 Polygon Annotations 59 Object Classes Scripts for Data Loading, Statistics, Consistency Check and Training Preparation