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The MODA General Attribute Suite: A Four-Track Evaluation Benchmark for Fashion Attribute Extraction

arXiv · AI, language, vision and robotics · article · Sep 8, 2026 · UTC

Fashion attribute extraction is evaluated inconsistently: results are reported as single aggregate numbers across image types that pose different problems, fields that are not visible in an image are scored as ordinary negatives, and the effect of vocabulary mismatch between datasets is acknowledged but not measured. We release the MODA General Attribute Suite, a four-track benchmark that keeps these problems separate by construction. Each track (localized garment crops, catalogue product images, applicability-aware full-body photographs, and product text) carries its own frozen test set, inpu

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