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Dataset Card for ImageNet100
Dataset Details
Dataset Description
ImageNet100 is a subset of ImageNet (ILSVRC2012) containing only 100 classes.
Dataset Sources
Unknown
Dataset Structure
Total images: 131,689
Classes: 100 categories
Splits:
Train: 126,689 images
Validation: 5,000 images
Image specs: 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/imagenet100", split="train", trust_remote_code=True)
# dataset = load_dataset("randall-lab/imagenet100", split="validation", 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}")
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