Datasets › NABirds

NABirds (North America Birds)

Introduced by Grant Van Horn et al. in Building a Bird Recognition App and Large Scale Dataset With Citizen Scientists: The Fine Print in Fine-Grained Dataset Collection1 Jan 2015 archive 2025-07-28

NABirds V1 is a collection of 48,000 annotated photographs of the 400 species of birds that are commonly observed in North America. More than 100 photographs are available for each species, including separate annotations for males, females and juveniles that comprise 700 visual categories. This dataset is to be used for fine-grained visual categorization experiments.

Source: https://dl.allaboutbirds.org/nabirds Image Source: https://openaccess.thecvf.com/content_cvpr_2015/papers/Horn_Building_a_Bird_2015_CVPR_paper.pdf

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)PaperCode
Fine-Grained Image Classification NABirds MetaFormer (MetaFormer-2,384) Accuracy 93.0% MetaFormer: A Unified Meta Framework for Fine-Grained Recognition dqshuai/metaformer +1 30 Compare

Papers archive 2025-07-28

29 shown of 29 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 143. The Syntology column is from Syntology's graph (read 2026-09-24), stated per sample; it is not part of any archive number.

DateSamples run Syntology
Structural feature enhanced transformer for fine-grained image recognition 0 1 14 Jun 2025 not harvested
Multi-scale Activation, Refinement, and Aggregation: Exploring Diverse Cues for Fine-Grained Bird Recognition 0 1 12 Apr 2025 not harvested
An Attention-Locating Algorithm for Eliminating Background Effects in Fine-grained Visual Classification 1 1 28 Jan 2025 not harvested
Universal Fine-grained Visual Categorization by Concept Guided Learning 1 1 6 Jan 2025 not harvested
Interweaving Insights: High-Order Feature Interaction for Fine-Grained Visual Recognition 1 1 20 Oct 2024 not harvested
Multi-Granularity Part Sampling Attention for Fine-Grained Visual Classification 1 1 16 Aug 2024 not harvested
Context-Semantic Quality Awareness Network for Fine-Grained Visual Categorization 0 1 15 Mar 2024 not harvested
Delving into Multimodal Prompting for Fine-grained Visual Classification 0 1 16 Sep 2023 not harvested
Fine-grained Visual Classification with High-temperature Refinement and Background Suppression 1 1 11 Mar 2023 not harvested
Fine-Grained Visual Classification via Internal Ensemble Learning Transformer 1 1 13 Feb 2023 not harvested
TransIFC: Invariant Cues-aware Feature Concentration Learning for Efficient Fine-grained Bird Image Classification 0 1 31 Dec 2022 not harvested
SR-GNN: Spatial Relation-aware Graph Neural Network for Fine-Grained Image Categorization 1 1 5 Sep 2022 not harvested
ViT-NeT: Interpretable Vision Transformers with Neural Tree Decoder 1 1 17 Jul 2022 not harvested
MetaFormer: A Unified Meta Framework for Fine-Grained Recognition 2 1 5 Mar 2022 ran 1 of 14 samples (13 unverified)
A Novel Plug-in Module for Fine-Grained Visual Classification 1 1 8 Feb 2022 not harvested
Transformer with Peak Suppression and Knowledge Guidance for Fine-grained Image Recognition 0 1 14 Jul 2021 not harvested
Exploring Localization for Self-supervised Fine-grained Contrastive Learning 1 1 30 Jun 2021 not harvested
TransFG: A Transformer Architecture for Fine-grained Recognition 2 1 14 Mar 2021 ran 3 of 3 samples (0 unverified; 2 pointer-only for licence)
Context-aware Attentional Pooling (CAP) for Fine-grained Visual Classification 1 1 17 Jan 2021 ran 0 of 2 samples (2 unverified)
End-to-end Learning of a Fisher Vector Encoding for Part Features in Fine-grained Recognition 1 1 4 Jul 2020 not harvested
Learning Attentive Pairwise Interaction for Fine-Grained Classification 1 1 24 Feb 2020 ran 1 of 2 samples (1 unverified; 2 pointer-only for licence)
Learning a Mixture of Granularity-Specific Experts for Fine-Grained Categorization 1 1 1 Oct 2019 not harvested
Classification-Specific Parts for Improving Fine-Grained Visual Categorization 2 2 16 Sep 2019 not harvested
Cross-X Learning for Fine-Grained Visual Categorization 0 1 10 Sep 2019 not harvested
Fixing the train-test resolution discrepancy 3 1 14 Jun 2019 ran 0 of 2 samples (2 unverified; 2 pointer-only for licence)
Maximum-Entropy Fine Grained Classification 0 1 1 Dec 2018 not harvested
Aligned to the Object, not to the Image: A Unified Pose-aligned Representation for Fine-grained Recognition 0 1 27 Jan 2018 not harvested
Pairwise Confusion for Fine-Grained Visual Classification 1 1 22 May 2017 not harvested
Bilinear CNNs for Fine-grained Visual Recognition 4 1 29 Apr 2015 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

Custom

Modalities archive 2025-07-28

Languages archive 2025-07-28

No language tagged.

Variants archive 2025-07-28

  • NABirds

1 variant name, as the archive lists them.

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