Datasets › VISUELLE2.0

VISUELLE2.0

Introduced by Geri Skenderi et al. in The multi-modal universe of fast-fashion: the Visuelle 2.0 benchmark14 Apr 2022 archive 2025-07-28

Visuelle 2.0 is a dataset containing real data for 5355 clothing products of the retail fast-fashion Italian company, Nuna Lie. Specifically, Visuelle 2.0 provides data from 6 fashion seasons (partitioned in Autumn-Winter and Spring-Summer) from 2017-2019, right before the Covid-19 pandemic. Each product is accompanied by an HD image, textual tags and more. The time series data are disaggregated at the shop level, and include the sales, inventory stock, max-normalized prices (for the sake of confidentiality} and discounts. Exogenous time series data is also provided, in the form of Google Trends based on the textual tags and multivariate weather conditions of the stores’ locations. Finally, we also provide purchase data for 667K customers whose identity has been anonymized, to capture personal preferences. With these data, Visuelle 2.0 allows to cope with several problems which characterize the activity of a fast fashion company: new product demand forecasting, short-observation new product sales forecasting, and product recommendation.

Benchmarks archive 2025-07-28

All 2 leaderboards 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 VISUELLE2.0 Explainable Cross-Attention Multimodal RNN MAE 0.99 Attention based Multi-Modal New Product Sales... HumaticsLAB/AttentionBasedMultiModalRNN 1 Compare
Short-observation new product sales forecasting VISUELLE2.0 Explainable Cross-Attention Multimodal RNN 1 step MAE 0.96 Attention based Multi-Modal New Product Sales... HumaticsLAB/AttentionBasedMultiModalRNN 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 4. 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
Attention based Multi-Modal New Product Sales Time-series Forecasting 1 2 23 Aug 2020 not harvested

Dataset loaders archive 2025-07-28

No loader listed in the archive.

Tasks archive 2025-07-28

License archive 2025-07-28

No licence recorded in the archive. Absence here is not a statement about the dataset's terms.

Modalities archive 2025-07-28

Languages archive 2025-07-28

Variants archive 2025-07-28

  • VISUELLE2.0

1 variant name, as the archive lists them.

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