27 datasets found
  1. Data from: BRIGHT: A globally distributed multimodal building damage...

    • zenodo.org
    zip
    Updated Jan 13, 2025
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    Hongruixuan Chen; Hongruixuan Chen; Jian Song; Olivier Dietrich; Olivier Dietrich; Clifford Broni-Bediako; Clifford Broni-Bediako; Weihao Xuan; Weihao Xuan; Junjue Wang; Junjue Wang; Xinlei Shao; Xinlei Shao; Wei Yimin; Junshi Xia; Junshi Xia; Cuiling Lan; Cuiling Lan; Konrad Schindler; Konrad Schindler; Naoto Yokoya; Naoto Yokoya; Jian Song; Wei Yimin (2025). BRIGHT: A globally distributed multimodal building damage assessment dataset with very-high-resolution for all-weather disaster response [Dataset]. http://doi.org/10.5281/zenodo.14619798
    Explore at:
    zipAvailable download formats
    Dataset updated
    Jan 13, 2025
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Hongruixuan Chen; Hongruixuan Chen; Jian Song; Olivier Dietrich; Olivier Dietrich; Clifford Broni-Bediako; Clifford Broni-Bediako; Weihao Xuan; Weihao Xuan; Junjue Wang; Junjue Wang; Xinlei Shao; Xinlei Shao; Wei Yimin; Junshi Xia; Junshi Xia; Cuiling Lan; Cuiling Lan; Konrad Schindler; Konrad Schindler; Naoto Yokoya; Naoto Yokoya; Jian Song; Wei Yimin
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 9, 2025
    Description

    Overview

    BRIGHT is the first open-access, globally distributed, event-diverse multimodal dataset specifically curated to support AI-based disaster response. It covers five types of natural disasters and two types of man-made disasters across 12 regions worldwide, with a particular focus on developing countries. About 4,500 paired optical and SAR images containing over 350,000 building instances in BRIGHT, with a spatial resolution between 0.3 and 1 meters, provides detailed representations of individual buildings, making it ideal for precise damage assessment.

    IEEE GRSS Data Fusion Contest 2025

    BRIGHT also serves as the official dataset of IEEE GRSS DFC 2025 Track II.

    Please download dfc25_track2_trainval.zip and unzip it. It contains training images & labels and validation images.

    Benchmark code related to the DFC 2025 can be found at this Github repo.

    The official leaderboard is located on the Codalab-DFC2025-Track II page.

    Paper & Reference

    Details of BRIGHT can be refer to our paper.

    If BRIGHT is useful to research, please kindly consider cite our paper

    @article{chen2025bright,
       title={BRIGHT: A globally distributed multimodal building damage assessment dataset with very-high-resolution for all-weather disaster response}, 
       author={Hongruixuan Chen and Jian Song and Olivier Dietrich and Clifford Broni-Bediako and Weihao Xuan and Junjue Wang and Xinlei Shao and Yimin Wei and Junshi Xia and Cuiling Lan and Konrad Schindler and Naoto Yokoya},
       journal={arXiv preprint arXiv:2501.06019},
       year={2025},
       url={https://arxiv.org/abs/2501.06019}, 
    }

    License

    Label data of BRIGHT are provided under the same license as the optical images, which varies with different events.

    With the exception of two events, Hawaii-wildfire-2023 and La Palma-volcano eruption-2021, all optical images are from Maxar Open Data Program, following CC-BY-NC-4.0 license. The optical images related to Hawaii-wildifire-2023 are from High-Resolution Orthoimagery project of NOAA Office for Coastal Management. The optical images related to La Palma-volcano eruption-2021 are from IGN (Spain) following CC-BY 4.0 license.

    The SAR images of BRIGHT is provided by Capella Open Data Gallery and Umbra Space Open Data Program, following CC-BY-4.0 license.

  2. DoorDash Dataset

    • brightdata.com
    .json, .csv, .xlsx
    Updated May 16, 2024
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    Bright Data (2024). DoorDash Dataset [Dataset]. https://brightdata.com/products/datasets/doordash
    Explore at:
    .json, .csv, .xlsxAvailable download formats
    Dataset updated
    May 16, 2024
    Dataset authored and provided by
    Bright Datahttps://brightdata.com/
    License

    https://brightdata.com/licensehttps://brightdata.com/license

    Area covered
    Worldwide
    Description

    We'll customize a DoorDash dataset to align with your unique requirements, incorporating data on restaurant types, menu items, pricing, delivery times, customer ratings, demographic insights, and other relevant metrics.

    Leverage our DoorDash datasets for various applications to strengthen strategic planning and market analysis. Examining these datasets enables organizations to understand consumer preferences and delivery trends, facilitating refined menu offerings and optimized delivery strategies. Tailor your access to the complete dataset or specific subsets according to your business needs.

    Popular use cases include optimizing menu offerings based on consumer insights, refining marketing strategies through targeted customer segmentation, and identifying and predicting trends to maintain a competitive edge in the food delivery market.

  3. Instagram Dataset

    • brightdata.com
    .json, .csv, .xlsx
    Updated Apr 26, 2022
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    Bright Data (2022). Instagram Dataset [Dataset]. https://brightdata.com/products/datasets/instagram
    Explore at:
    .json, .csv, .xlsxAvailable download formats
    Dataset updated
    Apr 26, 2022
    Dataset authored and provided by
    Bright Datahttps://brightdata.com/
    License

    https://brightdata.com/licensehttps://brightdata.com/license

    Area covered
    Worldwide
    Description

    Access detailed insights with our Instagram datasets, featuring follower counts, verified status, account types, and engagement scores. Explore post information including URLs, descriptions, hashtags, comments, likes, media, posting dates, locations, and reel URLs. Perfect for understanding user engagement and content trends to drive informed decisions and optimize your social media strategies. Over 750M records available Price starts at $250/100K records Data formats are available in JSON, NDJSON, CSV, XLSX and Parquet. 100% ethical and compliant data collection Included datapoints:

    Account Fbid Id Followers Posts Count Is Business Account Is Professional Account Is Verified Avg Engagement External Url Biography Business Category Name Category Name Post Hashtags Following Posts Profile Image Link Profile URL Profile Name Highlights Count Highlights Full Name Is Private Bio Hashtags URL Is Joined Recently And much more

  4. Amazon Dataset

    • brightdata.com
    .json, .csv, .xlsx
    Updated Mar 31, 2022
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    Bright Data (2022). Amazon Dataset [Dataset]. https://brightdata.com/products/datasets/amazon
    Explore at:
    .json, .csv, .xlsxAvailable download formats
    Dataset updated
    Mar 31, 2022
    Dataset authored and provided by
    Bright Datahttps://brightdata.com/
    License

    https://brightdata.com/licensehttps://brightdata.com/license

    Area covered
    Worldwide
    Description

    Gain extensive insights with our Amazon datasets, encompassing detailed product information including pricing, reviews, ratings, brand names, product categories, sellers, ASINs, images, and much more. Ideal for market researchers, data analysts, and eCommerce professionals looking to excel in the competitive online marketplace. Over 425M records available Price starts at $250/100K records Data formats are available in JSON, NDJSON, CSV, XLSX and Parquet. 100% ethical and compliant data collection Included datapoints:

    Title Asin Main Image Brand Name Description Availability Subcategory Categories Parent Asin Type Product Type Name Model Number Manufacturer Color Size Date First Available Released Model Year Item Model Number Part Number Price Total Reviews Total Ratings Average Rating Features Best Sellers Rank Subcategory Buybox Buybox Seller Id Buybox Is Amazon Images Product URL And more

  5. z

    India Import Data of Bright Buyers or Importers, HS Code 90 | ZETTALIX.COM

    • zettalix.com
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    Zettalix, India Import Data of Bright Buyers or Importers, HS Code 90 | ZETTALIX.COM [Dataset]. https://www.zettalix.com/
    Explore at:
    .bin, .xml, .csv, .xlsAvailable download formats
    Dataset authored and provided by
    Zettalix
    Area covered
    India
    Description

    Subscribers can access export and import data for 80 countries using HS codes or product names-ideal for informed market analysis.

  6. g

    Topographic map 1 : 10 000 - 2838-NW Bright | gimi9.com

    • gimi9.com
    Updated Oct 21, 2024
    + more versions
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    (2024). Topographic map 1 : 10 000 - 2838-NW Bright | gimi9.com [Dataset]. https://gimi9.com/dataset/eu_050d18d7-704d-44fc-8c97-60141247ad9d_1/
    Explore at:
    Dataset updated
    Oct 21, 2024
    License

    Data licence Germany – Attribution – Version 2.0https://www.govdata.de/dl-de/by-2-0
    License information was derived automatically

    Description

    The topographic maps (TK) are generated from digital landscape and terrain models as well as the official property cadastre information system ALKIS and visualised according to the nationwide signature catalogue of the presentation editions ‘basemap.de P10’ grid. The TKs are available nationwide and in the uniform geodetic reference system and map projection for the state of Brandenburg. They are available as analogue map prints (plots), as raster data and as web services. When using the data, the license conditions must be observed.

  7. IKEA Dataset

    • brightdata.com
    .json, .csv, .xlsx
    Updated Apr 14, 2024
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    Bright Data (2024). IKEA Dataset [Dataset]. https://brightdata.com/products/datasets/ikea
    Explore at:
    .json, .csv, .xlsxAvailable download formats
    Dataset updated
    Apr 14, 2024
    Dataset authored and provided by
    Bright Datahttps://brightdata.com/
    License

    https://brightdata.com/licensehttps://brightdata.com/license

    Area covered
    Worldwide
    Description

    Introducing a comprehensive dataset of the world-renowned furniture retailer, Ikea. This dataset contains all the latest product information, including product names, descriptions, prices, and images, directly sourced from the official Ikea website. With this information, you can analyze and understand the market trends and consumer preferences for Ikea products, helping you make informed business decisions. Whether you're a market researcher, data analyst, or simply a fan of Ikea products, this dataset is a must-have for anyone looking to gain insights into the brand and its offerings. Get your hands on this valuable resource today.

  8. z

    India Import Data of Bright Buyers or Importers, HS Code 90189019 |...

    • zettalix.com
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    Zettalix, India Import Data of Bright Buyers or Importers, HS Code 90189019 | ZETTALIX.COM [Dataset]. https://www.zettalix.com/
    Explore at:
    .bin, .xml, .csv, .xlsAvailable download formats
    Dataset authored and provided by
    Zettalix
    Area covered
    India
    Description

    Subscribers can access export and import data for 80 countries using HS codes or product names-ideal for informed market analysis.

  9. z

    India Export Data of Optical Bright Suppliers or Exporters | ZETTALIX.COM

    • zettalix.com
    Updated Dec 19, 2024
    + more versions
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    Zettalix (2024). India Export Data of Optical Bright Suppliers or Exporters | ZETTALIX.COM [Dataset]. https://www.zettalix.com/
    Explore at:
    .bin, .xml, .csv, .xlsAvailable download formats
    Dataset updated
    Dec 19, 2024
    Dataset authored and provided by
    Zettalix
    Area covered
    India
    Description

    Subscribers can access export and import data for 80 countries using HS codes or product names-ideal for informed market analysis.

  10. z

    India Import Data of Bright Yellow Buyers or Importers | ZETTALIX.COM

    • zettalix.com
    + more versions
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    Zettalix, India Import Data of Bright Yellow Buyers or Importers | ZETTALIX.COM [Dataset]. https://www.zettalix.com/
    Explore at:
    .bin, .xml, .csv, .xlsAvailable download formats
    Dataset authored and provided by
    Zettalix
    Area covered
    India
    Description

    Subscribers can access export and import data for 80 countries using HS codes or product names-ideal for informed market analysis.

  11. z

    India Import Data of Bright Buyers or Importers, HS Code 3204 | ZETTALIX.COM...

    • zettalix.com
    Updated Dec 28, 2024
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    Zettalix (2024). India Import Data of Bright Buyers or Importers, HS Code 3204 | ZETTALIX.COM [Dataset]. https://www.zettalix.com/
    Explore at:
    .bin, .xml, .csv, .xlsAvailable download formats
    Dataset updated
    Dec 28, 2024
    Dataset authored and provided by
    Zettalix
    Area covered
    India
    Description

    Subscribers can access export and import data for 80 countries using HS codes or product names-ideal for informed market analysis.

  12. z

    India Export Data of Bright Bars Suppliers or Exporters | ZETTALIX.COM

    • zettalix.com
    Updated Jan 1, 2025
    + more versions
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    Zettalix (2025). India Export Data of Bright Bars Suppliers or Exporters | ZETTALIX.COM [Dataset]. https://www.zettalix.com/
    Explore at:
    .bin, .xml, .csv, .xlsAvailable download formats
    Dataset updated
    Jan 1, 2025
    Dataset authored and provided by
    Zettalix
    Area covered
    India
    Description

    Subscribers can access export and import data for 80 countries using HS codes or product names-ideal for informed market analysis.

  13. z

    India Export Data of Bright Suppliers or Exporters | ZETTALIX.COM

    • zettalix.com
    Updated Jan 1, 2025
    + more versions
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    Zettalix (2025). India Export Data of Bright Suppliers or Exporters | ZETTALIX.COM [Dataset]. https://www.zettalix.com/
    Explore at:
    .bin, .xml, .csv, .xlsAvailable download formats
    Dataset updated
    Jan 1, 2025
    Dataset authored and provided by
    Zettalix
    Area covered
    India
    Description

    Subscribers can access export and import data for 80 countries using HS codes or product names-ideal for informed market analysis.

  14. z

    India Export Data of Bright Ba Suppliers or Exporters | ZETTALIX.COM

    • zettalix.com
    Updated Jan 1, 2025
    + more versions
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    Zettalix (2025). India Export Data of Bright Ba Suppliers or Exporters | ZETTALIX.COM [Dataset]. https://www.zettalix.com/
    Explore at:
    .bin, .xml, .csv, .xlsAvailable download formats
    Dataset updated
    Jan 1, 2025
    Dataset authored and provided by
    Zettalix
    Area covered
    India
    Description

    Subscribers can access export and import data for 80 countries using HS codes or product names-ideal for informed market analysis.

  15. z

    India Import Data of Bright Buyers or Importers, HS Code 32071090 |...

    • zettalix.com
    Updated Dec 16, 2024
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    Zettalix (2024). India Import Data of Bright Buyers or Importers, HS Code 32071090 | ZETTALIX.COM [Dataset]. https://www.zettalix.com/
    Explore at:
    .bin, .xml, .csv, .xlsAvailable download formats
    Dataset updated
    Dec 16, 2024
    Dataset authored and provided by
    Zettalix
    Area covered
    Venezuela (Bolivarian Republic of), Equatorial Guinea, Guatemala, Saint Barthélemy, State of, Bulgaria, Samoa, Macedonia (the former Yugoslav Republic of), Lithuania, Iceland
    Description

    Subscribers can access export and import data for 80 countries using HS codes or product names-ideal for informed market analysis.

  16. z

    India Import Data of Bright Buyers or Importers, HS Code 55033090 |...

    • zettalix.com
    Updated Dec 20, 2024
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    Zettalix (2024). India Import Data of Bright Buyers or Importers, HS Code 55033090 | ZETTALIX.COM [Dataset]. https://www.zettalix.com/
    Explore at:
    .bin, .xml, .csv, .xlsAvailable download formats
    Dataset updated
    Dec 20, 2024
    Dataset authored and provided by
    Zettalix
    Area covered
    India
    Description

    Subscribers can access export and import data for 80 countries using HS codes or product names-ideal for informed market analysis.

  17. z

    India Import Data of Round Bright Buyers or Importers | ZETTALIX.COM

    • zettalix.com
    Updated Dec 27, 2024
    + more versions
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    Zettalix (2024). India Import Data of Round Bright Buyers or Importers | ZETTALIX.COM [Dataset]. https://www.zettalix.com/
    Explore at:
    .bin, .xml, .csv, .xlsAvailable download formats
    Dataset updated
    Dec 27, 2024
    Dataset authored and provided by
    Zettalix
    Area covered
    India
    Description

    Subscribers can access export and import data for 80 countries using HS codes or product names-ideal for informed market analysis.

  18. z

    India Import Data of Bright Buyers or Importers, HS Code 72155090 |...

    • zettalix.com
    Updated Dec 25, 2024
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    Zettalix (2024). India Import Data of Bright Buyers or Importers, HS Code 72155090 | ZETTALIX.COM [Dataset]. https://www.zettalix.com/
    Explore at:
    .bin, .xml, .csv, .xlsAvailable download formats
    Dataset updated
    Dec 25, 2024
    Dataset authored and provided by
    Zettalix
    Area covered
    India
    Description

    Subscribers can access export and import data for 80 countries using HS codes or product names-ideal for informed market analysis.

  19. z

    India Import Data of Bright Buyers or Importers, HS Code 39169060 |...

    • zettalix.com
    Updated Jan 1, 2025
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    Zettalix (2025). India Import Data of Bright Buyers or Importers, HS Code 39169060 | ZETTALIX.COM [Dataset]. https://www.zettalix.com/
    Explore at:
    .bin, .xml, .csv, .xlsAvailable download formats
    Dataset updated
    Jan 1, 2025
    Dataset authored and provided by
    Zettalix
    Area covered
    India
    Description

    Subscribers can access export and import data for 80 countries using HS codes or product names-ideal for informed market analysis.

  20. z

    India Import Data of Bright Buyers or Importers, HS Code 3212 | ZETTALIX.COM...

    • zettalix.com
    Updated Dec 16, 2024
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    Zettalix (2024). India Import Data of Bright Buyers or Importers, HS Code 3212 | ZETTALIX.COM [Dataset]. https://www.zettalix.com/
    Explore at:
    .bin, .xml, .csv, .xlsAvailable download formats
    Dataset updated
    Dec 16, 2024
    Dataset authored and provided by
    Zettalix
    Area covered
    Sao Tome and Principe, Korea (Democratic People's Republic of), Singapore, Madagascar, Saint Helena, South Georgia and the South Sandwich Islands, Bonaire, Papua New Guinea, San Marino, Congo
    Description

    Subscribers can access export and import data for 80 countries using HS codes or product names-ideal for informed market analysis.

Share
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TwitterTwitter
Email
Click to copy link
Link copied
Close
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Hongruixuan Chen; Hongruixuan Chen; Jian Song; Olivier Dietrich; Olivier Dietrich; Clifford Broni-Bediako; Clifford Broni-Bediako; Weihao Xuan; Weihao Xuan; Junjue Wang; Junjue Wang; Xinlei Shao; Xinlei Shao; Wei Yimin; Junshi Xia; Junshi Xia; Cuiling Lan; Cuiling Lan; Konrad Schindler; Konrad Schindler; Naoto Yokoya; Naoto Yokoya; Jian Song; Wei Yimin (2025). BRIGHT: A globally distributed multimodal building damage assessment dataset with very-high-resolution for all-weather disaster response [Dataset]. http://doi.org/10.5281/zenodo.14619798
Organization logo

Data from: BRIGHT: A globally distributed multimodal building damage assessment dataset with very-high-resolution for all-weather disaster response

Related Article
Explore at:
zipAvailable download formats
Dataset updated
Jan 13, 2025
Dataset provided by
Zenodohttp://zenodo.org/
Authors
Hongruixuan Chen; Hongruixuan Chen; Jian Song; Olivier Dietrich; Olivier Dietrich; Clifford Broni-Bediako; Clifford Broni-Bediako; Weihao Xuan; Weihao Xuan; Junjue Wang; Junjue Wang; Xinlei Shao; Xinlei Shao; Wei Yimin; Junshi Xia; Junshi Xia; Cuiling Lan; Cuiling Lan; Konrad Schindler; Konrad Schindler; Naoto Yokoya; Naoto Yokoya; Jian Song; Wei Yimin
License

Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically

Time period covered
Jan 9, 2025
Description

Overview

BRIGHT is the first open-access, globally distributed, event-diverse multimodal dataset specifically curated to support AI-based disaster response. It covers five types of natural disasters and two types of man-made disasters across 12 regions worldwide, with a particular focus on developing countries. About 4,500 paired optical and SAR images containing over 350,000 building instances in BRIGHT, with a spatial resolution between 0.3 and 1 meters, provides detailed representations of individual buildings, making it ideal for precise damage assessment.

IEEE GRSS Data Fusion Contest 2025

BRIGHT also serves as the official dataset of IEEE GRSS DFC 2025 Track II.

Please download dfc25_track2_trainval.zip and unzip it. It contains training images & labels and validation images.

Benchmark code related to the DFC 2025 can be found at this Github repo.

The official leaderboard is located on the Codalab-DFC2025-Track II page.

Paper & Reference

Details of BRIGHT can be refer to our paper.

If BRIGHT is useful to research, please kindly consider cite our paper

@article{chen2025bright,
   title={BRIGHT: A globally distributed multimodal building damage assessment dataset with very-high-resolution for all-weather disaster response}, 
   author={Hongruixuan Chen and Jian Song and Olivier Dietrich and Clifford Broni-Bediako and Weihao Xuan and Junjue Wang and Xinlei Shao and Yimin Wei and Junshi Xia and Cuiling Lan and Konrad Schindler and Naoto Yokoya},
   journal={arXiv preprint arXiv:2501.06019},
   year={2025},
   url={https://arxiv.org/abs/2501.06019}, 
}

License

Label data of BRIGHT are provided under the same license as the optical images, which varies with different events.

With the exception of two events, Hawaii-wildfire-2023 and La Palma-volcano eruption-2021, all optical images are from Maxar Open Data Program, following CC-BY-NC-4.0 license. The optical images related to Hawaii-wildifire-2023 are from High-Resolution Orthoimagery project of NOAA Office for Coastal Management. The optical images related to La Palma-volcano eruption-2021 are from IGN (Spain) following CC-BY 4.0 license.

The SAR images of BRIGHT is provided by Capella Open Data Gallery and Umbra Space Open Data Program, following CC-BY-4.0 license.

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