moritzrengert1/wildfire_global
A Globally Balanced Wildfire Satellite Dataset for VLM Bias Evaluation Overview This is a geographically balanced dataset of wildfire events captured by Sentinel-2 satellite imagery, designed to benchmark vision-language models (VLMs) on wildfire detection and burn severity estimation across diverse global regions. Each sample consists of a paired pre-fire and post-fire RGB chip (224×224 px, 10 m GSD) with continuous dNBR ground truth derived from Sentinel-2 NIR/SWIR… See the full description on the dataset page: https://huggingface.co/datasets/moritzrengert1/wildfire_global.
| Author / organization | moritzrengert1 |
|---|---|
| License (as declared) | cc-by-4.0 |
| Downloads | 762 (as reported by Hugging Face) |
| Likes | 0 |
| Created | 29 March 2026 |
| Last updated at source | 29 March 2026 |
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