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.

Collection of natural and synthetic CHO-K1 time-lapse suspension cell images. The data set contains bright-field (BF) and phase-contrast (PC) microscopy images. The BF set contains 12 scenarios and accumulates to 5202 images, of which 1.4 percent are labeled. The PC set contains 37 scenarios and accumulates to 11.189 images, of which 5.9 percent are labeled. The labels were created in a regular interval over the data sets. Images with more than 30 cells put in a nested archive beforehand, due to loss in relevance for the cultivation experiments with this data.

This data includes the results of computer simulations for the article "Noise-Free Generation of Bright Matter-Wave Solitons". We show how access to flexible optical potentials can be used to generate three-dimensional atomic bright matter-wave solitons using a painted potential technique. Our proposal provides a route towards producing bright solitonic states with good fidelity.

VizieR Online Data Catalog: Large Bright Quasar Survey (LBQS) VII(Hewett P.C.+, 2001)

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Online Data Science Training Programs Market Size 2025-2029

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By Type Insights

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VizieR Online Data Catalog: Large Bright Quasar Survey VI (LBQS)(Hewett P.C.+, 1995)