ELINA (ELectrical INstallation symbols from Architectural plans) Dataset

Fuente: Zenodo
Enregistré dans:
Détails bibliographiques
Auteurs principaux: Schulz, Daniel, Jonas, Tobias, Bayerl, Sebastian P.
Format: Recurso digital
Publié: Zenodo 2025
Sujets:
Accès en ligne:
Tags: Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
_version_ 1866902011069333504
author Schulz, Daniel
Jonas, Tobias
Bayerl, Sebastian P.
author_facet Schulz, Daniel
Jonas, Tobias
Bayerl, Sebastian P.
contents <p>The growing demand for housing has increased the need for intelligent systems in building planning to improve underlying processes and reduce the workload of professionals. A central aspect of creating such systems is the detection of symbols in building plans, which is essential for creating a bill of materials (BOM). This necessitates symbol data that reflects the wide variety of symbols used in practice. However, public datasets are not available, which led to an increased focus on methods for generating synthetic data. To address these issues, this dataset contains 2,000 distinct ELectrical INstallation symbols from Architectural plans (ELINA). Additionally, sample training, validation and test dataset splits are provided for model development.</p>
format Recurso digital
id zenodo_https___doi_org_10_5281_zenodo_16749425
institution Zenodo
language
publishDate 2025
publisher Zenodo
record_format zenodo
spellingShingle ELINA (ELectrical INstallation symbols from Architectural plans) Dataset
Schulz, Daniel
Jonas, Tobias
Bayerl, Sebastian P.
Symbol Detection
Deep Learning
Building Plan Analysis
Document Analysis
Machine Learning
Artificial Intelligence
Construction Industry
Object Detection
Instance Segmentation
Blueprint Analysis
Bill of Materials
Architectural Plans
<p>The growing demand for housing has increased the need for intelligent systems in building planning to improve underlying processes and reduce the workload of professionals. A central aspect of creating such systems is the detection of symbols in building plans, which is essential for creating a bill of materials (BOM). This necessitates symbol data that reflects the wide variety of symbols used in practice. However, public datasets are not available, which led to an increased focus on methods for generating synthetic data. To address these issues, this dataset contains 2,000 distinct ELectrical INstallation symbols from Architectural plans (ELINA). Additionally, sample training, validation and test dataset splits are provided for model development.</p>
title ELINA (ELectrical INstallation symbols from Architectural plans) Dataset
topic Symbol Detection
Deep Learning
Building Plan Analysis
Document Analysis
Machine Learning
Artificial Intelligence
Construction Industry
Object Detection
Instance Segmentation
Blueprint Analysis
Bill of Materials
Architectural Plans
url https://doi.org/10.5281/zenodo.16749425