| license: cc-by-4.0 | |
| pretty_name: Deep1B (mirror) | |
| size_categories: | |
| - 1B<n<10B | |
| task_categories: | |
| - feature-extraction | |
| tags: | |
| - ann-benchmark | |
| - vector-search | |
| - billion-scale | |
| # Deep1B — mirror | |
| Mirror of the **Deep1B** billion-scale ANN benchmark (1,000,000,000 × 96-dim | |
| `float32` deep image descriptors) and its 10,000-query public test set, | |
| originally published by Yandex Research and hosted at | |
| `https://storage.yandexcloud.net/yandex-research/ann-datasets/DEEP/`. | |
| This is a verbatim byte-for-byte copy intended for ANN-benchmark | |
| reproducibility. **Original authors / license**: Yandex Research; please | |
| cite their work (Babenko & Lempitsky, "Efficient Indexing of Billion-Scale | |
| Datasets of Deep Descriptors", CVPR 2016) and respect their terms of use. | |
| ## Files | |
| | file | size | format | | |
| |---|---:|---| | |
| | `base.1B.fbin` | 384,000,000,008 B | `fbin`: int32 `n=1,000,000,000`, int32 `d=96`, then `n*d` float32 | | |
| | `query.public.10K.fbin` | 3,840,008 B | `fbin`: `n=10,000`, `d=96`, then `n*d` float32 | | |
| Mirrored on 2026-05-22. | |