Dataset · Hugging Face

Ethosoft/RefSeg-CA

Name: RefSeg-CA
Creator: Ethosoft
Keywords: task_categories:image-segmentation, language:en, size_categories:1K<n<10K, format:parquet, modality:image, modality:text, library:datasets, library:dask, library:polars, library:mlcroissant, region:us, referring-expression-segmentation, command-compliance, synthetic, image

RefSeg-CA: command compliance and conservative repair Research artifacts for RefSeg-CA: evaluating and repairing command compliance in generalized referring segmentation. This is an unpublished R3 manuscript release; independent human parser validation has not yet been conducted. Contents Artifact Size / meaning Procedural scenes 1,200 unique scene geometries, five seeds Rendered images 2,400: matched flat and rich versions Commands 28,800… See the full description on the dataset page: https://huggingface.co/datasets/Ethosoft/RefSeg-CA.

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Author / organization	Ethosoft
Downloads	246 (as reported by Hugging Face)
Likes	0
Created	8 September 2026
Last updated at source	8 September 2026

referring-expression-segmentationcommand-compliancesyntheticimagereproducibility

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