metadata
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.