Earth System Science Data
Earth System Science Data
Earth System Science Data
Articles | Volume 17, issue 9
Articles | Volume 17, issue 9
https://doi.org/10.5194/essd-17-4835-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-17-4835-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 17, issue 9
Data description article
 | 
26 Sep 2025
Data description article |  | 26 Sep 2025

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

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

Viewed

Total article views: 6,107 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
3,176 2,791 140 6,107 104 143
  • HTML: 3,176
  • PDF: 2,791
  • XML: 140
  • Total: 6,107
  • BibTeX: 104
  • EndNote: 143
Views and downloads (calculated since 25 Apr 2025)
Cumulative views and downloads (calculated since 25 Apr 2025)

Viewed (geographical distribution)

Total article views: 6,107 (including HTML, PDF, and XML) Thereof 6,022 with geography defined and 85 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Saved (final revised paper)

Latest update: 07 Jul 2026
Download
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.
Read more
Share
Altmetrics
Final-revised paper
Preprint