Concrete printing defects dataset for quality process monitoring using computer vision

Dataset

DOI

The dataset contains images of concrete printing process monitoring camera. The dataset images are completed by the annotations dedicated to the detection of defects and anomalies that can be used in the close-loop control as feedback to an automated quality assessment system.

It could stem from a rule-based expert system, vector-to-action dictionaries, supervised machine learning models, etc.

Identifier
DOI	https://doi.org/10.57745/AQB1DU
Related Identifier	https://ui.adsabs.harvard.edu/abs/j.addma.2022.103175
Metadata Access	https://entrepot.recherche.data.gouv.fr/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=doi:10.57745/AQB1DU

Provenance
Creator	Rill-Garcia, Rodrigo ; Dokladalova, Eva ; Dokladal Petr ; Caron, Jean-François ; Mesnil, Romain ; Margerit, Pierre ; Charrier, Malo
Publisher	Recherche Data Gouv
Contributor	Dokladalova, Eva; Université Gustave Eiffel; École des Ponts ParisTech; Recherche Data Gouv
Publication Year	2024
Funding Reference	I-SITE FUTURE
Rights	etalab 2.0; info:eu-repo/semantics/openAccess; https://spdx.org/licenses/etalab-2.0.html
OpenAccess	true
Contact	Dokladalova, Eva (Université Gustave Eiffel)

Representation
Resource Type	Dataset
Format	application/zip; application/pdf
Size	1191504623; 662951
Version	1.1
Discipline	Computer Science; Engineering Sciences; Construction Engineering and Architecture; Engineering
Spatial Coverage	BuildIn innovation lab - Ecole des Ponts