Datasets › COCO-Facet

COCO-Facet

Introduced by Siting Li et al. in Highlighting What Matters: Promptable Embeddings for Attribute-Focused Image Retrieval21 May 2025 archive 2025-07-28

COCO-Facet is a benchmark for attribute-focused text-to-image retrieval, comprising 9,112 queries with 100 candidate images for each. The images are from COCO images, and the annotations are from available annotations of COCO images (COCO, Visual7W, VisDial, COCO-Stuff).

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Benchmarks archive 2025-07-28

No leaderboard in the archive resolves to this dataset.

Papers archive 2025-07-28

No paper in the archive has a leaderboard row on this dataset.

Dataset loaders archive 2025-07-28

No loader listed in the archive.

Tasks archive 2025-07-28

Zero-shot Text-to-Image Retrieval

License archive 2025-07-28

CC BY 4.0

Modalities archive 2025-07-28

Images Texts

Languages archive 2025-07-28

English

Variants archive 2025-07-28

COCO-Facet

1 variant name, as the archive lists them.

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