Datasets:
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---
license: apache-2.0
size_categories:
- 10K<n<100K
task_categories:
- image-feature-extraction
dataset_info:
features:
- name: image
dtype: image
splits:
- name: train
num_bytes: 2156767982.0
num_examples: 26000
download_size: 2183967663
dataset_size: 2156767982.0
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
# Imagenet Mini Dataset
This dataset is a subset of the Imagenet validation set containing 26,000 images. It has been curated to have equal class distributions, with 26 randomly sampled images from each class.
All images have been resized to (224, 224) pixels, and are in RGB format.
## Citation
If you use this dataset in your research, please cite the original Imagenet dataset:
Deng, J., Dong, W., Socher, R., Li, L.-J., Li, K., & Fei-Fei, L. (2009). Imagenet: A large-scale hierarchical image database. In 2009 IEEE conference on computer vision and pattern recognition (pp. 248–255).
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