jquenum/GRES
Summary We introduce the Geospatial Reasoning Segmentation Dataset (GRES), a collection of vision and language data designed around remote-sensing applications. GRES consists of two core components: PreGRES, a dataset consisting of over 1M remote-sensing specific visual instruction-tuning Q/A pairs for pre-training geospatial models, and GRES, a semi-synthetic dataset specialized for reasoning segmentation of remote-sensing data and consisting of 9,205 images and 27,615 natural… See the full description on the dataset page: https://huggingface.co/datasets/jquenum/GRES.
| Author / organization | jquenum |
|---|---|
| License (as declared) | cc-by-nc-sa-4.0 |
| Downloads | 247 (as reported by Hugging Face) |
| Likes | 2 |
| Created | 8 March 2025 |
| Last updated at source | 14 May 2025 |
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