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 2.424 Raw Images (Annotated) 24 Drafters (plus Images provided by TU Dresden) 12 Circuits per Drafter 2 Drawings per Circuit 4 Photos per Drawing 201.142 Bounding Box Annotations 26.898 Rotation Annotations 61.595 Text String Annotations 257 Binary Segmentation Maps (Annotated) Strokes vs. Background Accompanying Polygon Annotation Files 19.562 Polygon Annotations 59 Object Classes Scripts for Data Loading, Statistics, Consistency Check and Training Preparation