Datasets › BIG

BIG

Introduced by Ho Kei Cheng et al. in CascadePSP: Toward Class-Agnostic and Very High-Resolution Segmentation via Global and Local Refinement6 May 2020 archive 2025-07-28

A high-resolution semantic segmentation dataset with 50 validation and 100 test objects. Image resolution in BIG ranges from 2048×1600 to 5000×3600. Every image in the dataset has been carefully labeled by a professional while keeping the same guidelines as PASCAL VOC 2012 without the void region.

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 BIG PSPNet + CascadePSP mBA 75.32 CascadePSP: Toward Class-Agnostic and Very... hkchengrex/CascadePSP +1 4 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 9. 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
CascadePSP: Toward Class-Agnostic and Very High-Resolution Segmentation via Global and Local Refinement 2 4 6 May 2020 ran 2 of 7 samples (5 unverified)

Dataset loaders archive 2025-07-28

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

Tasks archive 2025-07-28

License archive 2025-07-28

No licence recorded in the archive. Absence here is not a statement about the dataset's terms.

Modalities archive 2025-07-28

Languages archive 2025-07-28

No language tagged.

Variants archive 2025-07-28

  • BIG

1 variant name, as the archive lists them.

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