FGVC-Aircraft

Dataset Information
Modalities
Images
Introduced
2013
License
Custom (non-commercial)
Homepage
Official Website
Contents

Overview

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

Variants: FGVC Aircraft, FGVC-Aircraft

Associated Benchmarks

This dataset is used in 4 benchmarks:

Recent Benchmark Submissions

Task Model Paper Date
Prompt Engineering MMRL++ MMRL++: Parameter-Efficient and Interaction-Aware Representation … 2025-05-15
Prompt Engineering MMRL MMRL: Multi-Modal Representation Learning for … 2025-03-11
Prompt Engineering HPT++ HPT++: Hierarchically Prompting Vision-Language Models … 2024-08-27
Zero-Shot Learning ZLaP* Label Propagation for Zero-shot Classification … 2024-04-05
Zero-Shot Learning ZLaP Label Propagation for Zero-shot Classification … 2024-04-05
Prompt Engineering ProMetaR Prompt Learning via Meta-Regularization 2024-04-01
Prompt Engineering PromptKD PromptKD: Unsupervised Prompt Distillation for … 2024-03-05
Prompt Engineering HPT Learning Hierarchical Prompt with Structured … 2023-12-11
Prompt Engineering DePT DePT: Decoupled Prompt Tuning 2023-09-14
Prompt Engineering RPO Read-only Prompt Optimization for Vision-Language … 2023-08-29
Prompt Engineering PromptSRC Self-regulating Prompts: Foundational Model Adaptation … 2023-07-13
Prompt Engineering CoPrompt Consistency-guided Prompt Learning for Vision-Language … 2023-06-01
Prompt Engineering MetaPrompt Learning Domain Invariant Prompt for … 2022-12-08
Prompt Engineering MaPLe MaPLe: Multi-modal Prompt Learning 2022-10-06
Prompt Engineering CoCoOp Conditional Prompt Learning for Vision-Language … 2022-03-10
Prompt Engineering CLIP Learning Transferable Visual Models From … 2021-02-26

Research Papers

Recent papers with results on this dataset:

External Links: