|
--- |
|
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). |
|
|
|
|
