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 May 7, 2025

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@@ -19,7 +19,9 @@ tags:
 **Benchmark for building damage assessment**
-* Please download **pre-event.zip**, **post-event.zip**, and **target.zip**. Note that for the optical pre-event data in Ukraine, Myanmar, and Mexico, please follow our [instructions/tutorials](https://github.com/ChenHongruixuan/BRIGHT) to download. For the benchmark code and evaluation protocal for supervised building damage assessment, cross-event transfer, and unsupervised multimodal change detection, please see our [Github repo](https://github.com/ChenHongruixuan/BRIGHT). You can download models' checkpoints in this [repo](https://zenodo.org/records/15349462).
 **Unsupervised multimodal image matching**

 **Benchmark for building damage assessment**
+* Please download **pre-event.zip**, **post-event.zip**, and **target.zip**. Note that for the optical pre-event data in Ukraine, Myanmar, and Mexico, please follow our [instructions/tutorials](https://github.com/ChenHongruixuan/BRIGHT) to download.
+* For the benchmark code and evaluation protocal for supervised building damage assessment, cross-event transfer, and unsupervised multimodal change detection, please see our [Github repo](https://github.com/ChenHongruixuan/BRIGHT).
+* You can download models' checkpoints in this [repo](https://zenodo.org/records/15349462).
 **Unsupervised multimodal image matching**