HyperAI

VRSBench Large-scale High-quality Remote Sensing Visual Language Benchmark Dataset

Date

a year ago

Size

11.52 GB

Organization

License

CC BY-SA 4.0

特色图像

The VRSBench dataset was proposed by King Abdullah University of Science and Technology in 2024, and the related paper results are "VRSBench: A Versatile Vision-Language Benchmark Dataset for Remote Sensing Image Understanding".

VRSBench is a multi-purpose visual-language benchmark dataset designed for remote sensing image understanding, aiming to advance the development of general, large-scale remote sensing image visual-language models. The dataset contains 29,614 manually verified detailed captioned images, 52,472 object references, and 123,221 question-answer pairs, supporting the training and evaluation of visual-language models on a wide range of remote sensing image understanding tasks.

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      • data/
        • VRSBench.zip
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