ArticleData in brief2026
A dataset of preclinical tooth preparation images.
Article in Data in brief, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Authors and funding
3 authors.
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Abstract
This article presents a curated dataset of multi-view digital images of full-coverage crown preparations performed on artificial teeth in a preclinical dental education setting. The dataset comprises composite images generated from three predefined photographic views (facial, occlusal, and lingual) for each tooth preparation, along with corresponding expert annotation records. The presented evaluation results reflect qualitative, image-based expert judgment rather than direct instrument-based quantitative measurements. Tooth preparations were completed by fourth-year undergraduate dental students as part of routine preclinical training, collected retrospectively from routine teaching activities, and documented using digital photography. Each tooth preparation was evaluated using a predefined educational rubric commonly applied in preclinical prosthodontic teaching. The released annotation data include a dichotomous pass/fail outcome, a feedback-oriented ordinal score, and a numeric score ranging from 0 to 5, reflecting the number of criteria met. Reference annotations were provided by a specialist prosthodontist. Image files and annotation records are linked through standardized naming to ensure traceability across dataset components. The dataset is intended for reuse in dental education research, the development and testing of image-based assessment methods, and machine learning applications focused on automated feedback and evaluation of preclinical tooth preparations. No patient data or clinical variables are included.
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