Articles | Volume 17, issue 9
https://doi.org/10.5194/essd-17-4835-2025
https://doi.org/10.5194/essd-17-4835-2025
Data description paper
 | 
26 Sep 2025
Data description paper |  | 26 Sep 2025

A large-scale image–text dataset benchmark for farmland segmentation

Chao Tao, Dandan Zhong, Weiliang Mu, Zhuofei Du, and Haiyang Wu

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Latest update: 30 Sep 2025
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Short summary
We construct FarmSeg-VL, the first high-quality image–text dataset for farmland segmentation. It covers eight agricultural regions across four seasons in China, offering extensive spatiotemporal coverage and fine-grained annotations. This dataset fills the gap in remote sensing image–text datasets for farmland, alleviates the challenge of spatiotemporal heterogeneity in farmland segmentation, and provides valuable data to support large-scale farmland monitoring and mapping.
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