Datasets › INSTRE
INSTRE
INSTRE is a benchmark for INSTance-level visual object REtrieval and REcognition (INSTRE). INSTRE has the following major properties: (1) balanced data scale, (2) more diverse intraclass instance variations, (3) cluttered and less contextual backgrounds, (4) object localization annotation for each image, (5) well-manipulated double-labelled images for measuring multiple object (within one image) case.
The whole dataset is split into three disjoint subsets INSTRE-S1 (for single object case 1), INSTRE-S2 (for single object case 2) and INSTRE-M (for multiple object case). INSTRE-S1 and INSTRE-S2 are collected for measuring single object case, both of which have 100 object classes. INSTRE-S1 contains 11011 images and INSTRE-S2 contains 12059 images.
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 | INSTRE | IME layer MAP 82.4 | Iterative Manifold Embedding Layer Learned by Incomplete... | XJhaoren/IME_layer | 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 2. 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 | |||
|---|---|---|---|---|
| Iterative Manifold Embedding Layer Learned by Incomplete Data for Large-scale Image Retrieval | 1 | 1 | 14 Jul 2017 | 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
No language tagged.
Variants archive 2025-07-28
- INSTRE
1 variant name, as the archive lists them.
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