metadata
license: cc-by-sa-4.0
language:
- en
tags:
- earth-observation
- remote-sensing
- disaster-response
size_categories:
- 1B<n<10B
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.
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.
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.