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