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Dataset Card for Imagenette
Dataset Details
Dataset Description
Imagenette is a subset of 10 easily classified classes from ImageNet (tench, English springer, cassette player, chain saw, church, French horn, garbage truck, gas pump, golf ball, parachute).
- License: Apache 2.0
Dataset Sources
- Homepage: https://github.com/fastai/imagenette
Dataset Structure
Total images: 13,394
Splits:
Train: 9,469 images
Test: 3,925 images
Classes (labels): 10 categories
Image specs: JPEG format, various resolutions, 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/imagenette", split="train", trust_remote_code=True)
# dataset = load_dataset("randall-lab/imagenette", split="test", trust_remote_code=True)
# Access a sample from the training set
example = dataset[0]
image = example["image"]
label = example["label"]
image.show() # Display the image
print(f"Label: {label}")
Citation
BibTeX:
@misc{imagenette, author = {FastAI}, title = {Imagenette: A smaller subset of ImageNet}, year = {2019}, url = {https://github.com/fastai/imagenette}, note = {Accessed: March 17, 2025} }
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