Datasets › LoveDA
LoveDA (Remote Sensing Land-Cover Dataset for Domain Adaptive Semantic Segmentation)
- 5987 high spatial resolution (0.3 m) remote sensing images from Nanjing, Changzhou, and Wuhan
- Focus on different geographical environments between Urban and Rural
- Advance both semantic segmentation and domain adaptation tasks
- Three considerable challenges:
- Multi-scale objects
- Complex background samples
- Inconsistent class distributions
Two contests are held on the Codalab: LoveDA Semantic Segmentation Challenge, LoveDA Unsupervised Domain Adaptation Challenge
Benchmarks archive 2025-07-28
All 1 leaderboard whose dataset resolves to this page shown (sort by any header). "First row" is the archive's own first row at snapshot, in the archive's row order; nothing here re-ranks and metric direction is not asserted.
| First row (archive order) | Paper | Code | ||||
|---|---|---|---|---|---|---|
| Semantic Segmentation | LoveDA | U-Net (MaxViT-S) Category mIoU 56.16 | U-Net Ensemble for Enhanced Semantic Segmentation in... | — | 19 | Compare |
Papers archive 2025-07-28
15 shown of 15 papers with a leaderboard row on this dataset's benchmarks, newest first. The archive's own "papers using this dataset" list was never published, so this is the benchmark-backed subset; the archive's count for this dataset is 81. The Syntology column is from Syntology's graph (read 2026-09-24), stated per sample; it is not part of any archive number.
Dataset loaders archive 2025-07-28
4 loaders as listed in the archive; links are outbound and not re-checked here.
Tasks archive 2025-07-28
License archive 2025-07-28
Modalities archive 2025-07-28
Languages archive 2025-07-28
Variants archive 2025-07-28
- LoveDA
1 variant name, as the archive lists them.
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