Dataset Card for tiny-imagenet

  Dataset Summary

Tiny ImageNet contains 100000 images of 200 classes (500 for each class) downsized to 64×64 colored images. Each class has 500 training images, 50 validation images, and 50 test images.

  Languages

The class labels in the dataset are in English.

  Dataset Structure





  Data Instances

{ 'image': <PIL.JpegImagePlugin.JpegImageFile image mode=RGB size=64x64 at 0x1A800E8E190, 'label': 15 }… See the full description on the dataset page: https://huggingface.co/datasets/zh-plus/tiny-imagenet.

Dataset Description

Tiny ImageNet is a reduced version of the original ImageNet dataset, containing 200 classes (a subset of the 1,000 ImageNet categories)

Homepage: https://www.image-net.org/

  Citation

@inproceedings{deng2009imagenet, title={ImageNet: A large-scale hierarchical image database}, author={Deng, Jia and others}, booktitle={CVPR}, year={2009} }

EliaFaure/split-tiny-imagenet dataset hosted on Hugging Face and contributed by the HF Datasets community

The dataset used in the paper is CIFAR-10, CIFAR-100 and Tiny-Imagenet datasets.

Upload of the corrupted version of Tiny ImageNet (also known as ImageNet-200) with fixed frost-corrupted samples (see https://github.com/hendrycks/robustness/issues/60). This version can be downloaded on a server (for instance using TorchUncertainty) and is safer than the original mirror on berkeley connect (that may soon be deleted).

Original work by Dan Hendrycks & Thomas Dietterich under the Apache-2.0 license. If you consider this dataset useful, please cite:

@article{hendrycks2019robustness,
 title={Benchmarking Neural Network Robustness to Common Corruptions and Perturbations},
 author={Dan Hendrycks and Thomas Dietterich},
 journal={Proceedings of the International Conference on Learning Representations},
 year={2019}
}

The dataset used in the paper is CIFAR-10, CIFAR-100, and TinyImageNet.

Tiny-ImageNet dataset is a dataset of images from 200 classes.

Dataset

This dataset was created by Albert

Contents

Dataset

This dataset was created by liusha249

Contents

Dataset

This dataset was created by 0x4RY4N

Contents

The Tiny-ImageNet dataset is a subset of the ImageNet dataset.

iny Imagenet has 200 Classes, each class has 500 traininig images, 50 Validation Images and 50 test images. Label Classes and Bounding Boxes are provided. More details can be found at https://tiny-imagenet.herokuapp.com/",

This challenge is part of Stanford Class CS 231N

Predictions generated by an ensemble of 4 ResNet 34 Deep Neural Networks Trained on TinyImagenet, as used in repository https://anonymous.4open.science/r/ensemble_attention-7616/README.md. Ensembles are trained to encourage/discourage predictive diversity. Each timestamped folder contains individual training runs, with the labels and probabilistic predictions of the ensemble on 1) the training set (train_labels.npy, train_preds.npy) and 2) the test set (ind_labels.npy, ind_preds.npy) for tinyimagenet. The file (tinyimagenet/resnet34/version_0/hparams.yaml) contains specific hyperparameters used on a particular training run. Figures visualizing training results can be generated by:
1.unzipping the four folders in to the directory `ensemble_attention/scripts/outputs/`
2. running the script `ensemble_attention/scripts/vis_scripts/all_weights_resnet34_tinyimagenet.py`.

The dataset used in the paper is Tiny ImageNet and ImageNet.

goddawg/tiny-imagenet-2k dataset hosted on Hugging Face and contributed by the HF Datasets community

The dataset used in the paper is CIFAR-10, Tiny ImageNet, and ImageNet.

The dataset used in the paper is not explicitly described, but it is mentioned that the authors used TinyImagenet dataset for pre-training the embedding functions.

Tiny ImageNet contains 100000 images of 200 classes (500 for each class) downsized to 64×64 colored images. Each class has 500 training images, 50 validation images and 50 test images.

Dataset

This dataset was created by kikoOne

Released under CC0: Public Domain

Contents

CIFAR-10, CIFAR-100, Tiny ImageNet, SVHN, iSUN, LSUN