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 2, 2025

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@@ -26,7 +26,7 @@ size_categories:
 * The official leaderboard is located on the [Codalab-DFC2025-Track II](https://codalab.lisn.upsaclay.fr/competitions/21122) page.
-**Unsupervised multimodal image matching**
 BRIGHT supports the evaluation of Unsupervised Multimodal Image Matching (UMIM) algorithms for their performance in large-scale disaster scenarios. Please download data with the prefix "**umim**", such as **umim_noto_earthquake.zip**, and use our [code](https://github.com/ChenHongruixuan/BRIGHT) to test the exsiting algorithms' performance.

 * The official leaderboard is located on the [Codalab-DFC2025-Track II](https://codalab.lisn.upsaclay.fr/competitions/21122) page.
+**Unsupervised multimodal image matching**
 BRIGHT supports the evaluation of Unsupervised Multimodal Image Matching (UMIM) algorithms for their performance in large-scale disaster scenarios. Please download data with the prefix "**umim**", such as **umim_noto_earthquake.zip**, and use our [code](https://github.com/ChenHongruixuan/BRIGHT) to test the exsiting algorithms' performance.