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 2.549 Raw Images (Annotated)25 Drafters (plus Images provided by TU Dresden)12 Circuits per Drafter2 Drawings per Circuit4 Photos per Drawing212.280 Bounding Box Annotations29.790 Rotation Annotations71.307 Text String Annotations264 Binary Segmentation Maps (Annotated)Strokes vs. BackgroundAccompanying Polygon Annotation Files20.060 Polygon Annotations59 Object ClassesScripts for Data Loading, Statistics, Consistency Check and Training Preparation