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: <ul> <li>2.112 Raw Image Files</li> <li>175.300 Bounding Box Annotations</li> <li>229 Binary Segmentation Maps with accompanying Polygon Annotations</li> <li>Statistics, Consistency and Segmentation Workflow Scripts</li> </ul>

labelImg, null

labelme, 5.0.1

GIMP, 2.10

CGHD