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Data · dataset · 2024

Morrocco Earthquake Building Damage Dataset

Listed in ScienceDB

Human life is significantly impacted by ongoing natural disasters.

Description

The global impact of the building damage they inflict is deeply significant. Deep learning can effectively analyze the extent of damage to buildings.

However, the challenge is the availability of the dataset. An innovative, challenging dataset collected from satellites has been presented, encompassing the extent of structural harm caused by the earthquake in Morocco. The dataset is from a complex, practical, arid environment where the building colour is almost like the background

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Where it is published

Catalogue records · 1

Topics

Inferred from text
Architecture 71%
Provenance · 1 source records, 12 field assertions
SourceKeyLast seenRaw
ScienceDB10.57760/sciencedb.113869 d agoJSON v1
FieldAssertionExtractorEvidence
access_levelsource · scidb cnconnector:scidb_cn@1.0.0
concepts[field].anzsrc:group:3301enrichment · scidb cntaxonomy-embedding@1.0.0title+keywords+description (71%)
concepts[field].local:field:computer-science-aimapping · scidb cnconnector:scidb_cn@1.0.0
concepts[field].local:field:earth-environmentalmapping · scidb cnconnector:scidb_cn@1.0.0
concepts[field].local:field:engineeringmapping · scidb cnconnector:scidb_cn@1.0.0
concepts[field].local:field:humanitiesmapping · scidb cnconnector:scidb_cn@1.0.0
concepts[field].local:field:life-sciencesmapping · scidb cnconnector:scidb_cn@1.0.0
concepts[field].local:field:social-sciencemapping · scidb cnconnector:scidb_cn@1.0.0
descriptionsource · scidb cnconnector:scidb_cn@1.0.0/metadata/dc/description
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