Datasets › FGVC-Aircraft

FGVC-Aircraft

Introduced by Subhransu Maji et al. in Fine-Grained Visual Classification of Aircraft1 Jan 2013 archive 2025-07-28

FGVC-Aircraft contains 10,200 images of aircraft, with 100 images for each of 102 different aircraft model variants, most of which are airplanes. The (main) aircraft in each image is annotated with a tight bounding box and a hierarchical airplane model label. Aircraft models are organized in a four-levels hierarchy. The four levels, from finer to coarser, are:

  • Model, e.g. Boeing 737-76J. Since certain models are nearly visually indistinguishable, this level is not used in the evaluation.
  • Variant, e.g. Boeing 737-700. A variant collapses all the models that are visually indistinguishable into one class. The dataset comprises 102 different variants.
  • Family, e.g. Boeing 737. The dataset comprises 70 different families.
  • Manufacturer, e.g. Boeing. The dataset comprises 41 different manufacturers. The data is divided into three equally-sized training, validation and test subsets.

Source: https://www.robots.ox.ac.uk/~vgg/data/fgvc-aircraft/ Image Source: Fine-Grained Visual Classification of Aircraft

Benchmarks archive 2025-07-28

All 12 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)PaperCode
Fine-Grained Image Classification FGVC Aircraft I2-HOFI Accuracy 96.42% Interweaving Insights: High-Order Feature Interaction... arindam-1991/i2-hofi 57 Compare
Prompt Engineering FGVC-Aircraft PromptKD Harmonic mean 45.17 PromptKD: Unsupervised Prompt Distillation for... zhengli97/promptkd 14 Compare
Few-Shot Learning FGVC Aircraft SaSPA + CAL Harmonic mean 52.2 Advancing Fine-Grained Classification by Structure and... eyalmichaeli/saspa-aug 4 Compare
Mitigating Contextual Bias FGVC Aircraft CAL + SaSPA Top-1 Accuracy (%) 73.0 Advancing Fine-Grained Classification by Structure and... eyalmichaeli/saspa-aug 4 Compare
Neural Architecture Search FGVC Aircraft NAT-M4 Accuracy (%) 90.8 Neural Architecture Transfer human-analysis/neural-architecture-transfer +1 4 Compare
Zero-Shot Learning FGVC-Aircraft ZLaP Accuracy 29.1 Label Propagation for Zero-shot Classification with... vladan-stojnic/zlap 2 Compare
Fine-Grained Image Classification FGVC-Aircraft EnGraf-Net101 (G=4, H=1) Accuracy 93.34 EnGraf-Net: Multiple Granularity Branch Network with... gitlab.com/artelabsuper/engraf-net 1 Compare
Fine-Grained Visual Recognition FGVC-Aircraft Selfsynthx Accuracy (%) 91.99 Enhancing Cognition and Explainability of Multimodal... sycny/selfsynthx 1 Compare
Image Classification FGVC Aircraft TransBoost-ResNet50 Accuracy 83.80% TransBoost: Improving the Best ImageNet Performance... omerb01/transboost 1 Compare
Image Classification FGVC-Aircraft EnGraf-Net101 (G=4, H=1) Accuracy 93.34 EnGraf-Net: Multiple Granularity Branch Network with... gitlab.com/artelabsuper/engraf-net 1 Compare
Image Clustering FGVC Aircraft TURTLE (CLIP + DINOv2) Accuracy 36.5 Let Go of Your Labels with Unsupervised Transfer mlbio-epfl/turtle 1 Compare
Transductive Zero-Shot Classification FGVC-Aircraft ZLaP Accuracy 28.4 Label Propagation for Zero-shot Classification with... vladan-stojnic/zlap 1 Compare

Papers archive 2025-07-28

30 shown of 74 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 520. 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
MMRL++: Parameter-Efficient and Interaction-Aware Representation Learning for Vision-Language Models 1 1 15 May 2025 not harvested
MMRL: Multi-Modal Representation Learning for Vision-Language Models 1 1 11 Mar 2025 ran 0 of 1 samples (1 unverified)
Enhancing Cognition and Explainability of Multimodal Foundation Models with Self-Synthesized Data 1 1 19 Feb 2025 ran 2 of 2 samples (0 unverified; 1 pointer-only for licence)
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
HPT++: Hierarchically Prompting Vision-Language Models with Multi-Granularity Knowledge Generation and Improved Structure Modeling 2 1 27 Aug 2024 not harvested
Advancing Fine-Grained Classification by Structure and Subject Preserving Augmentation 1 3 20 Jun 2024 ran 0 of 1 samples (1 unverified)
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)
Label Propagation for Zero-shot Classification with Vision-Language Models 1 3 5 Apr 2024 ran 1 of 2 samples (1 unverified)
Prompt Learning via Meta-Regularization 1 1 1 Apr 2024 ran 4 of 7 samples (3 unverified)
Context-Semantic Quality Awareness Network for Fine-Grained Visual Categorization 0 1 15 Mar 2024 not harvested
PromptKD: Unsupervised Prompt Distillation for Vision-Language Models 1 1 5 Mar 2024 not harvested
Learning Hierarchical Prompt with Structured Linguistic Knowledge for Vision-Language Models 2 1 11 Dec 2023 ran 3 of 7 samples (4 unverified)
DePT: Decoupled Prompt Tuning 1 1 14 Sep 2023 ran 4 of 8 samples (4 unverified; 8 pointer-only for licence)
Read-only Prompt Optimization for Vision-Language Few-shot Learning 1 1 29 Aug 2023 ran 4 of 6 samples (2 unverified)
Self-regulating Prompts: Foundational Model Adaptation without Forgetting 2 1 13 Jul 2023 ran 7 of 21 samples (14 unverified)
Consistency-guided Prompt Learning for Vision-Language Models 2 1 1 Jun 2023 ran 3 of 7 samples (4 unverified)
Is Synthetic Data From Diffusion Models Ready for Knowledge Distillation? 1 2 22 May 2023 ran 1 of 1 samples (0 unverified; 1 pointer-only for licence)
Your Diffusion Model is Secretly a Zero-Shot Classifier 4 1 28 Mar 2023 ran 2 of 2 samples (0 unverified; 1 pointer-only for licence)
Learn from Each Other to Classify Better: Cross-layer Mutual Attention Learning for Fine-grained Visual Classification 2 1 22 Mar 2023 not harvested
Part-guided Relational Transformers for Fine-grained Visual Recognition 1 1 28 Dec 2022 not harvested
Learning Domain Invariant Prompt for Vision-Language Models 1 1 8 Dec 2022 not harvested
Penalizing the Hard Example But Not Too Much: A Strong Baseline for Fine-Grained Visual Classification 1 1 21 Nov 2022 not harvested
MaPLe: Multi-modal Prompt Learning 3 1 6 Oct 2022 ran 4 of 6 samples (2 unverified)
Bayesian Prompt Learning for Image-Language Model Generalization 1 1 5 Oct 2022 ran 4 of 6 samples (2 unverified)
SR-GNN: Spatial Relation-aware Graph Neural Network for Fine-Grained Image Categorization 1 1 5 Sep 2022 not harvested
TransBoost: Improving the Best ImageNet Performance using Deep Transduction 1 1 26 May 2022 not harvested
On the Eigenvalues of Global Covariance Pooling for Fine-grained Visual Recognition 1 1 26 May 2022 ran 3 of 17 samples (14 unverified)
Fine-Grained Visual Classification using Self Assessment Classifier 1 1 21 May 2022 not harvested
Dual Cross-Attention Learning for Fine-Grained Visual Categorization and Object Re-Identification 0 1 4 May 2022 not harvested

The full list of 74 is in the JSON twin.

Dataset loaders archive 2025-07-28

2 loaders as listed in the archive; links are outbound and not re-checked here.

Tasks archive 2025-07-28

License archive 2025-07-28

Custom (non-commercial)

Modalities archive 2025-07-28

Languages archive 2025-07-28

No language tagged.

Variants archive 2025-07-28

  • FGVC Aircraft
  • FGVC-Aircraft

2 variant names, as the archive lists them.

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