Datasets › VISUELLE

VISUELLE

Introduced by Geri Skenderi et al. in Well Googled is Half Done: Multimodal Forecasting of New Fashion Product Sales with Image-based Google Trends20 Sep 2021 archive 2025-07-28

VISUELLE is a repository build upon the data of a real fast fashion company, Nunalie, and is composed of 5577 new products and about 45M sales related to fashion seasons from 2016-2019. Each product in VISUELLE is equipped with multimodal information: its image, textual metadata, sales after the first release date, and three related Google Trends describing category, color and fabric popularity.

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Image source: https://arxiv.org/pdf/2109.09824v1.pdf

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
New Product Sales Forecasting VISUELLE GTM-Transformer [POP] MAE 28.62 POP: Mining POtential Performance of new fashion... humaticslab/pop-mining-potential-performance 5 Compare

Papers archive 2025-07-28

4 shown of 4 papers 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.

Dataset loaders archive 2025-07-28

No loader listed in the archive.

Tasks archive 2025-07-28

License archive 2025-07-28

MIT License

Modalities archive 2025-07-28

Languages archive 2025-07-28

Variants archive 2025-07-28

  • VISUELLE

1 variant name, as the archive lists them.

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