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Morrocco Earthquake Building Damage Dataset Morrocco Earthquake Building Damage Dataset

Domain:

geospatial

Record type:

dataset
Creator:
KibMoaAbo
Publisher:
Sci
Host:avatar
Human life is significantly impacted by ongoing natural disasters. 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 Human life is significantly impacted by ongoing natural disasters. 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

Visit

doi.orgwww.scidb.cn

Tasks

computer visionimage classification

Tags

Earth scienceElectronic, communication and automatic control technologyInformation science and systems scienceEnvironmental science and resources science and technologyStatisticalNatural DisasterBuilding DamageCNNDeep LearningDataset

Licenses

https://opendatacommons.org/licenses/by/1-0/

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