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Data · dataset · 2026

Heritage_cracks

Listed in Teesside University Research Data Repository

The HeritageCracks dataset is a comprehensive collection of images designed to characterize superficial damage in historical monuments within the city of Morelia, primarily focusing on temples.

Description

This dataset enables the automated detection and classification of structural deterioration using computer vision and deep learning techniques, contributing to the preservation and structural health monitoring of cultural heritage.

This dataset is structured to facilitate the training and evaluation of machine learning models. The data distribution has been carefully divided to ensure optimal model performance: 75% for Training 15% for Validation 10% for Testing

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Note

The total dataset size after augmentation is 1,716 images.

Links

Where it is published

Catalogue records · 1

Topics

Inferred from text
Image 65%
Provenance · 1 source records, 10 field assertions
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Teesside University Research Data Repositoryoai:data.mendeley.com/b32hyvv2nn.315 h agoJSON v1
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concepts[field].anzsrc:group:4005mapping · researchdata tees ac ukvocabulary-mapper@1.0.0keywords['Civil Engineering']
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