Fine-Grained Visual Classification of Aircraft
Paper • 1306.5151 • Published
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The dataset viewer is not available for this dataset.
Cannot get the config names for the dataset.
Error code: ConfigNamesError
Exception: RuntimeError
Message: Dataset scripts are no longer supported, but found fgvc-aircraft.py
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/dataset/config_names.py", line 66, in compute_config_names_response
config_names = get_dataset_config_names(
^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/inspect.py", line 161, in get_dataset_config_names
dataset_module = dataset_module_factory(
^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/load.py", line 1207, in dataset_module_factory
raise e1 from None
File "/usr/local/lib/python3.12/site-packages/datasets/load.py", line 1167, in dataset_module_factory
raise RuntimeError(f"Dataset scripts are no longer supported, but found {filename}")
RuntimeError: Dataset scripts are no longer supported, but found fgvc-aircraft.pyNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
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} }
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