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README.md

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+**CVPR 2026 Workshop Competition (New!)**
+* BRIGHT serves as the official dataset for the CVPR 2026 Workshop Competition, extending the benchmark to **instance-level building damage segmentation**. We provide instance-level annotations for training and validation sets. Participants can follow the steps below to get started.
+* Please download **pre-event.zip**, **post-event.zip**, and the instance-level labels **cvprw2026_train_val_instance_labels.zip**, and unzip them.
+* For baseline code and submission instructions, please refer to our Github repo.
+* Please submit your results to the Codabench platform for evaluation. The official leaderboard is located on the [Codabench competition page](https://www.codabench.org/competitions/15134/). 
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 **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/blob/master/tutorial.md) 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).