Datasets › Birdsnap
Birdsnap
Birdsnap is a large bird dataset consisting of 49,829 images from 500 bird species with 47,386 images used for training and 2,443 images used for testing.
Source: Fine-Grained Classification via Mixture of Deep Convolutional Neural Networks Image Source: http://thomasberg.org/
Benchmarks archive 2025-07-28
All 2 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 | ||||
|---|---|---|---|---|---|---|
| Fine-Grained Image Classification | Birdsnap | EffNet-L2 (SAM) Accuracy 90.07% | Sharpness-Aware Minimization for Efficiently Improving... | davda54/sam +17 | 5 | Compare |
| Image Clustering | Birdsnap | TURTLE (CLIP + DINOv2) Accuracy 68.1 | Let Go of Your Labels with Unsupervised Transfer | mlbio-epfl/turtle | 1 | Compare |
Papers archive 2025-07-28
6 shown of 6 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 72. 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 | |||
|---|---|---|---|---|
| Let Go of Your Labels with Unsupervised Transfer | 1 | 1 | 11 Jun 2024 | ran 3 of 4 samples (1 unverified; 4 pointer-only for licence) |
| With a Little Help from My Friends: Nearest-Neighbor Contrastive Learning of Visual Representations | 4 | 1 | 29 Apr 2021 | ran 4 of 5 samples (1 unverified) |
| Sharpness-Aware Minimization for Efficiently Improving Generalization | 18 | 1 | 3 Oct 2020 | ran 8 of 20 samples (12 unverified; 6 pointer-only for licence) |
| Fixing the train-test resolution discrepancy | 3 | 1 | 14 Jun 2019 | ran 0 of 2 samples (2 unverified; 2 pointer-only for licence) |
| EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks | 144 | 1 | 28 May 2019 | ran 171 of 302 samples (131 unverified; 112 pointer-only for licence) |
| GPipe: Efficient Training of Giant Neural Networks using Pipeline Parallelism | 13 | 1 | 16 Nov 2018 | ran 1 of 25 samples (24 unverified; 16 pointer-only for licence) |
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
Unknown
Modalities archive 2025-07-28
Languages archive 2025-07-28
No language tagged.
Variants archive 2025-07-28
- Birdsnap
1 variant name, as the archive lists them.
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