Picture tiles and pixel-based labels of air pores on concrete walls
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Provided by GKSt GovData Freie und Hansestadt Hamburg
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Dataset information
Catalog
Country of origin
Updated
2023.03.06 11:04
Created
2020.05.18
Available languages
German
Keywords
mcloud_iddf5ccea9-2fcc-4a19-bbaa-6fb410cc87e5, mfund-fkz-19f1047a, mcloud_category_infrastructure, mfund-projekt-softeros
Datasource
Quality scoring
290
Dataset description
Photographs of newly built concrete walls by the construction site staff. Damage was then manually labeled by Viscan for machine learning in the mFUND project SoftEroS. The data can be used as training and test data. The division is left to the user.
Several damage images were examined in the project. Here, first, the damage pictures of aerial pores are published.
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