Datasets › Google Landmarks Dataset v2
Google Landmarks Dataset v2
This is the second version of the Google Landmarks dataset (GLDv2), which contains images annotated with labels representing human-made and natural landmarks. The dataset can be used for landmark recognition and retrieval experiments. This version of the dataset contains approximately 5 million images, split into 3 sets of images: train, index and test
Source: https://github.com/cvdfoundation/google-landmark Image Source: https://github.com/cvdfoundation/google-landmark
Benchmarks archive 2025-07-28
All 4 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) | Paper | Code | ||||
|---|---|---|---|---|---|---|
| Image Retrieval | Google Landmarks Dataset v2 (retrieval, testing) | AMES mAP@100 37.8 | AMES: Asymmetric and Memory-Efficient Similarity... | pavelsuma/ames | 4 | Compare |
| Image Retrieval | Google Landmarks Dataset v2 (retrieval, validation) | UNICOM-ViT-L-14-512px mAP@100 33.1 | Unicom: Universal and Compact Representation Learning... | OML-Team/open-metric-learning +2 | 3 | Compare |
| Landmark Recognition | Google Landmarks Dataset v2 (recognition, validation) | DELG global+SP microAP 55.01 | Google Landmarks Dataset v2 -- A Large-Scale Benchmark... | tensorflow/models +4 | 1 | Compare |
| Landmark Recognition | Google Landmarks Dataset v2 (recognition, testing) | DELG global+SP microAP 56.35 | Google Landmarks Dataset v2 -- A Large-Scale Benchmark... | tensorflow/models +4 | 1 | Compare |
Papers archive 2025-07-28
3 shown of 3 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 35. 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 | |||
|---|---|---|---|---|
| AMES: Asymmetric and Memory-Efficient Similarity Estimation for Instance-level Retrieval | 1 | 1 | 6 Aug 2024 | ran 13 of 13 samples (0 unverified) |
| Unicom: Universal and Compact Representation Learning for Image Retrieval | 3 | 4 | 12 Apr 2023 | ran 3 of 6 samples (3 unverified; 6 pointer-only for licence) |
| Google Landmarks Dataset v2 -- A Large-Scale Benchmark for Instance-Level Recognition and Retrieval | 5 | 4 | 3 Apr 2020 | not harvested |
Dataset loaders archive 2025-07-28
1 loader as listed in the archive; links are outbound and not re-checked here.
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
- Google Landmarks Dataset v2 (recognition, validation)
- Google Landmarks Dataset v2 (recognition, testing)
- Google Landmarks Dataset v2 (retrieval, testing)
- Google Landmarks Dataset v2 (retrieval, validation)
- Google Landmarks Dataset v2
5 variant names, as the archive lists them.
Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections