Datasets › COCO-OOC

COCO-OOC

Introduced by Manoj Acharya et al. in Detecting out-of-context objects using contextual cues11 Feb 2022 archive 2025-07-28

COCO-OOC goes beyond standard object detection to ask the question: Which objects are out-of-context (OOC)? Given an image with a set of objects, the goal of COCO-OOC is to determine if an object is inconsistent with the contextual relations, where it must detect the OOC object with a bounding box.

COCO-OOC is derived from COCO by inserting objects into images that violate contextual relationships compared to the existing objects in a scene.

COCO-OOC has 106,036 images with two kinds of OOC violations: co-occurrence and size.

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
Anomaly Detection COCO-OOC GCRN AUC 0.980 Detecting out-of-context objects using contextual cues — 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
Detecting out-of-context objects using contextual cues 0 1 11 Feb 2022 not harvested

Dataset loaders archive 2025-07-28

No loader listed in the archive.

Tasks archive 2025-07-28

License archive 2025-07-28

Apache License 2.0

Modalities archive 2025-07-28

Languages archive 2025-07-28

Variants archive 2025-07-28

  • COCO-OOC

1 variant name, as the archive lists them.

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