Published November 3, 2022
| Version 4
Dataset
Open
A Public Ground-Truth Dataset for Handwritten Circuit Diagram Images
Description
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 the purpose of the extraction of electrical graphs from raster graphics. Content:
- 2.112 Raw Images
- 22 Drafters
- 12 Circuits per Drafter
- 2 Drawings per Circuit
- 4 Photos per Drawing
- 175.573 Bounding Box Annotations
- 58 Object Classes
- 229 Binary Segmentation Maps
- Strokes vs. Background
- Accompanying Polygon Annotation Files
Notes
Files
cghd-zenodo-4.zip
Additional details
Related works
- Is described by
- Preprint: https://arxiv.org/abs/2107.10373 (URL)
- Conference paper: 10.1007/978-3-030-86198-8_2 (DOI)