Datensatz: Hand-Drawn Chemical Formulas Captured During Field Testing of the OrChemSTAR App With and Without Annotations Gained Using the Structure Matching and Recognition Engine SMARE
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Datum der Erstveröffentlichung
2025
Autor:innen
Andere Beitragende
Repositorium der Erstveröffentlichung
Zenodo
Version des Datensatzes
v1
DOI (Link zu den Daten)
Link zur Lizenz
Angaben zur Forschungsförderung
Swiss National Science Foundation: 221108
Projekt
Sammlungen
Core Facility der Universität Konstanz
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Titel in einer weiteren Sprache
Publikationsstatus
Published
Zusammenfassung
This dataset comprises 7909 hand-drawn chemical structure elements captured during field testing of the OrChemSTAR App in chemistry classes. It includes raw images as well as images with an overlay of recognized molecule parts based on 18 different classes relevant to chemical structure interpretation. The Annotations were done by the Structure Matching and Recognition Engine SMARE.
Zusammenfassung in einer weiteren Sprache
Fachgebiet (DDC)
540 Chemie
Schlagwörter
OrChemSTAR, SMARE, YOLO, Chemical education, Image recognition, Error analysis, Spatial visualization, Lewis structure
Zitieren
ISO 690
THOMS, Lars-Jochen, 2025. Hand-Drawn Chemical Formulas Captured During Field Testing of the OrChemSTAR App With and Without Annotations Gained Using the Structure Matching and Recognition Engine SMAREBibTex
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<dcterms:abstract>This dataset comprises 7909 hand-drawn chemical structure elements captured during field testing of the OrChemSTAR App in chemistry classes. It includes raw images as well as images with an overlay of recognized molecule parts based on 18 different classes relevant to chemical structure interpretation. The Annotations were done by the Structure Matching and Recognition Engine SMARE.</dcterms:abstract>
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</rdf:RDF>Kommentar zur Publikation
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