An-Xiao/CHOICE
CHOICE: Benchmarking The Remote Sensing Capabilities of Large Vision-Language Models Abstract: The rapid advancement of Large Vision-Language Models (VLMs), both general-domain models and those specifically tailored for remote sensing, has demonstrated exceptional perception and reasoning capabilities in Earth observation tasks. However, a benchmark for systematically evaluating their capabilities in this domain is still lacking. To bridge this gap, we propose CHOICE, an… See the full description on the dataset page: https://huggingface.co/datasets/An-Xiao/CHOICE.
| Author / organization | An-Xiao |
|---|---|
| License (as declared) | mit |
| Downloads | 381 (as reported by Hugging Face) |
| Likes | 0 |
| Created | 17 March 2025 |
| Last updated at source | 18 March 2025 |
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- 16 Oct 2026 Description: CHOICE: Benchmarking The Remote Sensing Capabilities of Large Vision-Language Models Abstract: The rapid advancement of Large Vision-Language Models (VLMs), both general-domain models and those specifically tailored for remote sensing, has → CHOICE: Benchmarking The Remote Sensing Capabilities of Large Vision-Language Models Abstract: The rapid advancement of Large Vision-Language Models (VLMs), both general-domain models and those specifically tailored for remote sensing, has
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