Datasets › COCO-N Medium

COCO-N Medium

Introduced by Eden Grad et al. in Benchmarking Label Noise in Instance Segmentation: Spatial Noise Matters16 Jun 2024 archive 2025-07-28

COCO-N Medium introduces a stochastic benchmark that simulates common real-world scenarios with noticeable label inaccuracies in the COCO dataset. This benchmark combines class and spatial noises to create a challenging yet realistic evaluation framework for instance segmentation models. It mimics datasets manually annotated by crowd workers, where a moderate level of label noise is expected. By incorporating both class and spatial inaccuracies, COCO-N Medium allows researchers to assess their models' basic robustness to label noise, providing insights into performance in typical real-world applications where perfect annotations are rare. This medium-level benchmark serves as a crucial middle ground, offering a more rigorous test than minimally noisy datasets while remaining within the bounds of commonly encountered data quality issues. COCO-N Medium enables a nuanced evaluation of model performance under realistic conditions, helping identify areas for improvement in handling noisy labels and guiding the development of more robust instance segmentation algorithms.

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
Instance Segmentation COCO-N Medium Mask R-CNN ResNet-50 FPN mIOU 30.3 Benchmarking Label Noise in Instance Segmentation:... eden500/Noisy-Labels-Instance-Segmentation 1 Compare

Papers archive 2025-07-28

1 shown of 1 paper 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 1. 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
Benchmarking Label Noise in Instance Segmentation: Spatial Noise Matters 1 1 16 Jun 2024 ran 2 of 2 samples (0 unverified)

Dataset loaders archive 2025-07-28

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Tasks archive 2025-07-28

License archive 2025-07-28

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Modalities archive 2025-07-28

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Languages archive 2025-07-28

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Variants archive 2025-07-28

  • COCO-N Medium

1 variant name, as the archive lists them.

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