RescueNet
- kaggle.com
Updated Mar 13, 2023
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EmailClick to copy linkLink copiedCiteYaroslav Chyrko (2023). RescueNet [Dataset]. https://www.kaggle.com/datasets/yaroslavchyrko/rescuenetCroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.Dataset updatedMar 13, 2023AuthorsYaroslav ChyrkoLicensehttps://cdla.io/permissive-1-0/https://cdla.io/permissive-1-0/
DescriptionRescueNet dataset created by Tashnim Chowdhury, Robin Murphy and Maryam Rahnemoonfar and presented in RescueNet: A High Resolution UAV Semantic Segmentation Benchmark Dataset for Natural Disaster Damage Assessment paper in August of 2021. This dataset is released under the Community Data License Agreement (permissive). It features 4494 post disaster high resolution images (3000x4000) of buildings and landscapes after Hurricane Michael, captured from UAV (Unmanned Aerial Vehicle), namely DJI Mavic Pro and their respective General Truth maps. General Truth maps features 12 classes: background, debris, water, building-no-damage, building-medium-damage, building-major-damage, building-total-destruction, vehicle, road, tree, pool and sand. For better understanding of each class and it's purpouse refer to original work. For models trained on this dataset refer to the Github page. Note: this dataset can also be obtained from the Google drive link that be found on the github page. When downloading from this source as one zip archive, due to the large file size download error (namely Network error and on resume a Forbidden error) might occur. If it persists one should try downloading individual folders as they will be divided into parts that can be downloaded properly.
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RescueNet Image Classification Dataset
- springernature.figshare.com
zipUpdated Dec 6, 2023ShareFacebookTwitterEmailClick to copy linkLink copiedCiteMaryam Rahnemoonfar; Tashnim Chowdhury; Robin Murphy (2023). RescueNet Image Classification Dataset [Dataset]. http://doi.org/10.6084/m9.figshare.22826612.v1zipAvailable download formatsUnique identifierhttps://doi.org/10.6084/m9.figshare.22826612.v1Dataset updatedDec 6, 2023Dataset provided byfigshareAuthorsMaryam Rahnemoonfar; Tashnim Chowdhury; Robin MurphyLicenseCC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
License information was derived automaticallyDescriptionThis is the image classification dataset where three sets of csv files (train, validation, test) each of which contains image ID and corresponding labels (superficial damage, medium damage, major damage) and a dataset descriptor.
RescueNet Segmentation Dataset Descriptor
- springernature.figshare.com
txtUpdated Dec 6, 2023ShareFacebookTwitterEmailClick to copy linkLink copiedCiteMaryam Rahnemoonfar; Tashnim Chowdhury; Robin Murphy (2023). RescueNet Segmentation Dataset Descriptor [Dataset]. http://doi.org/10.6084/m9.figshare.22826606.v1txtAvailable download formatsUnique identifierhttps://doi.org/10.6084/m9.figshare.22826606.v1Dataset updatedDec 6, 2023AuthorsMaryam Rahnemoonfar; Tashnim Chowdhury; Robin MurphyLicenseCC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
License information was derived automaticallyDescriptionA note to describe the semantic segmentation labels.
RescueNet Semantic Segmentation Train Set
- springernature.figshare.com
binUpdated Dec 6, 2023ShareFacebookTwitterEmailClick to copy linkLink copiedCiteMaryam Rahnemoonfar; Tashnim Chowdhury; Robin Murphy (2023). RescueNet Semantic Segmentation Train Set [Dataset]. http://doi.org/10.6084/m9.figshare.22825511.v1binAvailable download formatsUnique identifierhttps://doi.org/10.6084/m9.figshare.22825511.v1Dataset updatedDec 6, 2023AuthorsMaryam Rahnemoonfar; Tashnim Chowdhury; Robin MurphyLicenseCC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
License information was derived automaticallyDescriptionTrain set of RescueNet semantic segmentation.
RescueNet Semantic Segmentation Validation Set
- springernature.figshare.com
zipUpdated Dec 6, 2023+ more versionsShareFacebookTwitterEmailClick to copy linkLink copiedCiteMaryam Rahnemoonfar; Tashnim Chowdhury; Robin Murphy (2023). RescueNet Semantic Segmentation Validation Set [Dataset]. http://doi.org/10.6084/m9.figshare.22826369.v1zipAvailable download formatsUnique identifierhttps://doi.org/10.6084/m9.figshare.22826369.v1Dataset updatedDec 6, 2023AuthorsMaryam Rahnemoonfar; Tashnim Chowdhury; Robin MurphyLicenseCC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
License information was derived automaticallyDescriptionValidation set of RescueNet semantic segmentation.
Damaged Buildings Dataset
- kaggle.com
Updated Mar 18, 2024ShareFacebookTwitterEmailClick to copy linkLink copiedCiteMehrael (2024). Damaged Buildings Dataset [Dataset]. https://www.kaggle.com/datasets/mehrael/damaged-buildings-dataset/dataCroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.Dataset updatedMar 18, 2024AuthorsMehraelDescriptionThis dataset is a merged from different datasets of different categories.
db images are from RescueNet, Cyclone Wildfire Flood Earthquake Database, AIDERdata
Aug_db are db's Augmented images
db2 are extracted images from Ukraine Images 2023
RescueNet_Train_Labels
- kaggle.com
Updated Jul 19, 2022ShareFacebookTwitterEmailClick to copy linkLink copiedCiteRoy (2022). RescueNet_Train_Labels [Dataset]. https://www.kaggle.com/datasets/royzhao2004/rescuenet-train-labels/dataCroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.Dataset updatedJul 19, 2022AuthorsRoyLicensehttps://cdla.io/permissive-1-0/https://cdla.io/permissive-1-0/
DescriptionDataset
This dataset was created by Roy
Released under Community Data License Agreement - Permissive - Version 1.0
Contents
cats-rescue.net - Historical whois Lookup
- whoisdatacenter.com
csvUpdated Feb 5, 2025ShareFacebookTwitterEmailClick to copy linkLink copiedCiteAllHeart Web Inc (2025). cats-rescue.net - Historical whois Lookup [Dataset]. https://whoisdatacenter.com/domain/cats-rescue.net/csvAvailable download formatsDataset updatedFeb 5, 2025Dataset provided byAllHeart WebAuthorsAllHeart Web IncLicensehttps://whoisdatacenter.com/terms-of-use/https://whoisdatacenter.com/terms-of-use/
Time period coveredMar 15, 1985 - Jul 6, 2025DescriptionExplore the historical Whois records related to cats-rescue.net (Domain). Get insights into ownership history and changes over time.
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RescueNet dataset created by Tashnim Chowdhury, Robin Murphy and Maryam Rahnemoonfar and presented in RescueNet: A High Resolution UAV Semantic Segmentation Benchmark Dataset for Natural Disaster Damage Assessment paper in August of 2021. This dataset is released under the Community Data License Agreement (permissive). It features 4494 post disaster high resolution images (3000x4000) of buildings and landscapes after Hurricane Michael, captured from UAV (Unmanned Aerial Vehicle), namely DJI Mavic Pro and their respective General Truth maps. General Truth maps features 12 classes: background, debris, water, building-no-damage, building-medium-damage, building-major-damage, building-total-destruction, vehicle, road, tree, pool and sand. For better understanding of each class and it's purpouse refer to original work. For models trained on this dataset refer to the Github page. Note: this dataset can also be obtained from the Google drive link that be found on the github page. When downloading from this source as one zip archive, due to the large file size download error (namely Network error and on resume a Forbidden error) might occur. If it persists one should try downloading individual folders as they will be divided into parts that can be downloaded properly.