Datasets › Fine-Grained Grass Segmentation Dataset

Fine-Grained Grass Segmentation Dataset

Introduced by Shun Zhang et al. in Knowledge Transfer and Domain Adaptation for Fine-Grained Remote Sensing Image Segmentation9 Dec 2024 archive 2025-07-28

The dataset was created using high-resolution (8 m) satellite imagery from the Gaofen series (Gaofen-2 and Gaofen-6), captured in 2019 over Maduo County, China, located in the Yellow River source area. This region is known for its high-altitude, alpine grasslands, and complex terrain, with coordinates between 33°50'–35°40' N latitude and 96°50'–99°20' E longitude.

We collected two 13,872 × 13,150-pixel images from Gaofen-6 and two 7,300 × 6,905-pixel images from Gaofen-2, all containing red, green, and blue spectral bands. These images provide critical information for fine-grained grass extraction.

Labeling was assisted by the X-AnyLabeling tool, supplemented with manual refinements to ensure high accuracy. Grassland coverage was classified into five levels, based on national grassland survey standards:

  • Low coverage (<10%)
  • Medium-low coverage (10%–25%)
  • Medium coverage (25%–50%)
  • Medium-high coverage (50%–75%)
  • High coverage (>75%)

The final dataset comprises 1,151 pairs of 256×256 patches, split into training and testing sets with an 8:2 ratio. This dataset, with its detailed and accurate labeling, is a valuable resource for advancing remote sensing applications, particularly in ecologically sensitive and high-altitude regions like the Yellow River source area.

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)PaperCode
Semantic Segmentation Fine-Grained Grass Segmentation Dataset D2LS mIoU 51.96 Dynamic Dictionary Learning for Remote Sensing Image Segmentation XavierJiezou/D2LS 10 Compare

Papers archive 2025-07-28

10 shown of 10 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 10. The Syntology column is from Syntology's graph (read 2026-09-24), stated per sample; it is not part of any archive number.

DateSamples run Syntology
Dynamic Dictionary Learning for Remote Sensing Image Segmentation 1 1 9 Mar 2025 ran 9 of 12 samples (3 unverified; 12 pointer-only for licence)
Knowledge Transfer and Domain Adaptation for Fine-Grained Remote Sensing Image Segmentation 1 1 9 Dec 2024 not harvested
SFA-Net: Semantic Feature Adjustment Network for Remote Sensing Image Segmentation 1 1 3 Sep 2024 not harvested
DINOv2: Learning Robust Visual Features without Supervision 26 1 14 Apr 2023 ran 21 of 46 samples (25 unverified; 12 pointer-only for licence)
Masked-attention Mask Transformer for Universal Image Segmentation 7 1 2 Dec 2021 ran 2 of 8 samples (6 unverified)
SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformers 28 1 31 May 2021 ran 48 of 86 samples (38 unverified; 15 pointer-only for licence)
Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation 78 1 7 Feb 2018 ran 43 of 72 samples (29 unverified; 40 pointer-only for licence)
Pyramid Scene Parsing Network 67 1 4 Dec 2016 ran 7 of 29 samples (22 unverified; 5 pointer-only for licence)
U-Net: Convolutional Networks for Biomedical Image Segmentation 487 1 18 May 2015 ran 510 of 757 samples (247 unverified; 426 pointer-only for licence)
Fully Convolutional Networks for Semantic Segmentation 51 1 14 Nov 2014 ran 3 of 4 samples (1 unverified; 4 pointer-only for licence)

Dataset loaders archive 2025-07-28

No loader listed in the archive.

Tasks archive 2025-07-28

License archive 2025-07-28

Apache-2.0

Modalities archive 2025-07-28

No modality tagged.

Languages archive 2025-07-28

No language tagged.

Variants archive 2025-07-28

  • Fine-Grained Grass Segmentation Dataset

1 variant name, as the archive lists them.

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