Datasets › LaSCo
LaSCo
Large Scale Composed Image Retrieval (LaSCo) is a new dataset for Composed Image Retrieval (CoIR), x10 times larger than current ones.
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) | Paper | Code | ||||
|---|---|---|---|---|---|---|
| Image Retrieval | LaSCo | CASE Recall@1 (%) 7.08 | Data Roaming and Quality Assessment for Composed Image Retrieval | levymsn/LaSCo | 3 | Compare |
Papers archive 2025-07-28
2 shown of 2 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 7. The Syntology column is from Syntology's graph (read 2026-09-24), stated per sample; it is not part of any archive number.
| Date | Samples run Syntology | |||
|---|---|---|---|---|
| Data Roaming and Quality Assessment for Composed Image Retrieval | 1 | 2 | 16 Mar 2023 | not harvested |
| Conditioned and Composed Image Retrieval Combining and Partially Fine-Tuning CLIP-Based Features | 2 | 1 | 19 Jun 2022 | not harvested |
Dataset loaders archive 2025-07-28
No loader listed in the archive.
Tasks archive 2025-07-28
License archive 2025-07-28
Modalities archive 2025-07-28
Languages archive 2025-07-28
Variants archive 2025-07-28
- LaSCo
1 variant name, as the archive lists them.
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