xiang709/VRSBench

VRSBench VRSBench is a Versatile Vision-Language Benchmark for Remote Sensing Image Understanding. It consists of 29,614 remote sensing images with detailed captions, 52,472 object refers, and 3123,221 visual question-answer pairs. It facilitates the training and evaluation of vision-language models across a broad spectrum of remote sensing image understanding tasks. Using datasets from datasets import load_dataset fw = load_dataset("xiang709/VRSBench"… See the full description on the dataset page: https://huggingface.co/datasets/xiang709/VRSBench.

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