Add image-segmentation task category, link to paper

#2
by nielsr HF Staff - opened
Files changed (1) hide show
  1. README.md +7 -6
README.md CHANGED
@@ -1,16 +1,17 @@
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  ---
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- license: cc-by-sa-4.0
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  language:
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  - en
 
 
 
 
 
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  tags:
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  - earth-observation
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  - remote-sensing
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  - disaster-response
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- size_categories:
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- - 1B<n<10B
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  ---
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-
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  **Overview**
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  * BRIGHT is the first open-access, globally distributed, event-diverse multimodal dataset specifically curated to support AI-based disaster response.
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  * 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.
@@ -27,7 +28,7 @@ size_categories:
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  **Paper & Reference**
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- Details of BRIGHT can be refer to our [paper](https://arxiv.org/abs/2501.06019).
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  If BRIGHT is useful to research, please kindly consider cite our paper
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  ```
@@ -43,4 +44,4 @@ If BRIGHT is useful to research, please kindly consider cite our paper
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  **License**
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  * Label data of BRIGHT are provided under the same license as the optical images, which varies with different events.
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  * With the exception of two events, Hawaii-wildfire-2023 and La Palma-volcano eruption-2021, all optical images are from [Maxar Open Data Program](https://www.maxar.com/open-data), following CC-BY-NC-4.0 license. The optical images related to Hawaii-wildifire-2023 are from [High-Resolution Orthoimagery project](https://coast.noaa.gov/digitalcoast/data/highresortho.html) 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. 
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- * The SAR images of BRIGHT is provided by [Capella Open Data Gallery](https://www.capellaspace.com/earth-observation/gallery) and [Umbra Space Open Data Program](https://umbra.space/open-data/), following CC-BY-4.0 license. 
 
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  ---
 
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  language:
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  - en
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+ license: cc-by-sa-4.0
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+ task_categories:
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+ - image-segmentation
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+ size_categories:
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+ - 1B<n<10B
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  tags:
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  - earth-observation
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  - remote-sensing
12
  - disaster-response
 
 
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  ---
14
 
 
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  **Overview**
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  * BRIGHT is the first open-access, globally distributed, event-diverse multimodal dataset specifically curated to support AI-based disaster response.
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  * 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.
 
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  **Paper & Reference**
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+ Details of BRIGHT can be refer to our [paper](https://huggingface.co/papers/2501.06019).
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  If BRIGHT is useful to research, please kindly consider cite our paper
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  ```
 
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  **License**
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  * Label data of BRIGHT are provided under the same license as the optical images, which varies with different events.
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  * With the exception of two events, Hawaii-wildfire-2023 and La Palma-volcano eruption-2021, all optical images are from [Maxar Open Data Program](https://www.maxar.com/open-data), following CC-BY-NC-4.0 license. The optical images related to Hawaii-wildifire-2023 are from [High-Resolution Orthoimagery project](https://coast.noaa.gov/digitalcoast/data/highresortho.html) 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. 
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+ * The SAR images of BRIGHT is provided by [Capella Open Data Gallery](https://www.capellaspace.com/earth-observation/gallery) and [Umbra Space Open Data Program](https://umbra.space/open-data/), following CC-BY-4.0 license.