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Datasets › STARE

STARE (Structured Analysis of the Retina)

Introduced in Locating blood vessels in retinal images by piecewise threshold probing of a matched filter response1 Jan 1998 archive 2025-07-28

The STARE (Structured Analysis of the Retina) dataset is a dataset for retinal vessel segmentation. It contains 20 equal-sized (700×605) color fundus images. For each image, two groups of annotations are provided..

Source: DPN: Detail-Preserving Network with High Resolution Representation for Efficient Segmentation of Retinal Vessels Image Source: https://www.researchgate.net/figure/Results-of-the-different-methods-applied-to-the-STARE-dataset-a-original-image-b_fig4_279215756

HomepageBenchmarksPapers JSON

Benchmarks archive 2025-07-28

All 6 leaderboards 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
Retinal Vessel Segmentation STARE DA-Net AUC 0.9924 — — 10 Compare
Colorectal Gland Segmentation: STARE U-Net AUC 0.835 U-Net: Convolutional Networks for Biomedical Image Segmentation labmlai/annotated_deep_learning_paper_implementations +486 3 Compare
Cell Segmentation STARE U-Net AUC 0.7756 U-Net: Convolutional Networks for Biomedical Image Segmentation labmlai/annotated_deep_learning_paper_implementations +486 1 Compare
Dichotomous Image Segmentation STARE UNet AUC 0.780 U-Net: Convolutional Networks for Biomedical Image Segmentation labmlai/annotated_deep_learning_paper_implementations +486 1 Compare
Semantic Segmentation STARE UNet AUC 0.9158 U-Net: Convolutional Networks for Biomedical Image Segmentation labmlai/annotated_deep_learning_paper_implementations +486 1 Compare
Video Polyp Segmentation STARE UNet AUC 0.459 U-Net: Convolutional Networks for Biomedical Image Segmentation labmlai/annotated_deep_learning_paper_implementations +486 1 Compare

Papers archive 2025-07-28

9 shown of 9 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 146. 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
Dual encoding feature filtering generalized attention UNET for retinal vessel segmentation 1 1 2 Jun 2025 not harvested
Full-scale Representation Guided Network for Retinal Vessel Segmentation 1 1 31 Jan 2025 not harvested
Resolution-Aware Design of Atrous Rates for Semantic Segmentation Networks 0 1 26 Jul 2023 not harvested
RV-GAN: Segmenting Retinal Vascular Structure in Fundus Photographs using a Novel Multi-scale Generative Adversarial Network 2 1 3 Jan 2021 not harvested
DUNet: A deformable network for retinal vessel segmentation 0 1 3 Nov 2018 not harvested
Deep Vessel Segmentation By Learning Graphical Connectivity 1 1 6 Jun 2018 not harvested
Recurrent Residual Convolutional Neural Network based on U-Net (R2U-Net) for Medical Image Segmentation 12 1 20 Feb 2018 ran 5 of 8 samples (3 unverified; 5 pointer-only for licence)
Road Extraction by Deep Residual U-Net 13 1 29 Nov 2017 not harvested
U-Net: Convolutional Networks for Biomedical Image Segmentation 487 8 18 May 2015 ran 510 of 757 samples (247 unverified; 426 pointer-only for licence)

Dataset loaders archive 2025-07-28

open-mmlab/mmsegmentationopen-mmlab/mmsegmentationpytorch

1 loader as listed in the archive; links are outbound and not re-checked here.

Tasks archive 2025-07-28

Semantic SegmentationRetinal Vessel SegmentationCell SegmentationOptic Disc SegmentationDichotomous Image SegmentationVideo Polyp SegmentationColorectal Gland Segmentation:

License archive 2025-07-28

Unknown

Modalities archive 2025-07-28

ImagesMedical

Languages archive 2025-07-28

No language tagged.

Variants archive 2025-07-28

  • STARE

1 variant name, as the archive lists them.

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