Dataset Card for FGVC-Aircraft

Dataset Details

Dataset Description

The dataset contains 10,000 images of aircraft, with 100 images for each of 100 different aircraft model variants, most of which are airplanes.

Dataset Sources

• Homepage: https://www.robots.ox.ac.uk/~vgg/data/fgvc-aircraft/
• Paper: Maji, S., Rahtu, E., Kannala, J., Blaschko, M., & Vedaldi, A. (2013). Fine-grained visual classification of aircraft. arXiv preprint arXiv:1306.5151.

Dataset Structure

Total images: 10,000

Classes: 100 different aircraft models

Splits:

• Train: 3,334 images

• Validation: 3,333 images

• Test: 3,333 images

Image specs: JPEG format, variable resolution, RGB

Example Usage

Below is a quick example of how to load this dataset via the Hugging Face Datasets library.

from datasets import load_dataset  

# Load the dataset  
dataset = load_dataset("randall-lab/fgvc-aircraft", split="train", trust_remote_code=True)  
# dataset = load_dataset("randall-lab/fgvc-aircraft", split="validation", trust_remote_code=True)  
# dataset = load_dataset("randall-lab/fgvc-aircraft", split="test", trust_remote_code=True)  

# Access a sample from the dataset  
example = dataset[0]  
image = example["image"]  
label = example["label"]  

image.show()  # Display the image  
print(f"Label: {label}")

Citation

BibTeX:

@article{maji2013fine, title={Fine-grained visual classification of aircraft}, author={Maji, Subhransu and Rahtu, Esa and Kannala, Juho and Blaschko, Matthew and Vedaldi, Andrea}, journal={arXiv preprint arXiv:1306.5151}, year={2013} }