Datasets:

Kullervo
/

BRIGHT

Tasks:

Image Segmentation

Feature Extraction

Zero-Shot Classification

Modalities:

Formats:

Languages:

Size:

Tags:

earth-observation

disaster-response

artificial-intelligence

building-damage-mapping

DOI:

Libraries:

License:

Dataset card Data Studio Files Files and versions

Kullervo commited on Jun 20, 2025

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 * 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 14 regions worldwide, with a particular focus on developing countries.
 * About 4,200 paired optical and SAR images containing over 380,000 building instances in BRIGHT, with a spatial resolution between 0.3 and 1 meters, provides detailed representations of individual buildings.
 **Benchmark for building damage assessment**

 * 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 14 regions worldwide, with a particular focus on developing countries.
 * About 4,200 paired optical and SAR images containing over 380,000 building instances in BRIGHT, with a spatial resolution between 0.3 and 1 meters, provides detailed representations of individual buildings.
+<p align="center">
+  <img src="./overall.jpg" alt="accuracy" width="97%">
+</p>
 **Benchmark for building damage assessment**