A Public Ground-Truth Dataset for Handwritten Circuit Diagram Images
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully.  <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. 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 extracting electrical graphs from raster graphics. Content:  2.112 Raw Image Files  175.300 Bounding Box Annotations  229 Binary Segmentation Maps with accompanying Polygon Annotations  Statistics, Consistency and Segmentation Workflow Scripts</ul' . Please return only a json list of at most 3 Keywords corresponding to the Description:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> {"Answer" : ["Ground Truth","Line Drawing","Object Detection","Schematic","Semantic Segmentation"]} <|eot_id|>
 Here is the Description of a dataset. 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 extracting electrical graphs from raster graphics. Content:  2.112 Raw Image Files  175.300 Bounding Box Annotations  229 Binary Segmentation Maps with accompanying Polygon Annotations  Statistics, Consistency and Segmentation Workflow Scripts</ul' . Please return only a json list of at most 3 Keywords corresponding to the 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 extracting electrical graphs from raster graphics. Content:  2.112 Raw Image Files  175.300 Bounding Box Annotations  229 Binary Segmentation Maps with accompanying Polygon Annotations  Statistics, Consistency and Segmentation Workflow Scripts</ul
Ground Truth; Line Drawing; Object Detection; Schematic; Semantic Segmentation