Imagenette is a subset of 10 easily classified classes from the Imagenet dataset. It was originally prepared by Jeremy Howard of FastAI. The objective behind putting together a small version of the Imagenet dataset was mainly because running new ideas/algorithms/experiments on the whole Imagenet take a lot of time.

This version of the dataset allows researchers/practitioners to quickly try out ideas and share with others. The dataset comes in three variants:

• Full size
• 320 px
• 160 px

Note: The v2 config correspond to the new 70/30 train/valid split (released in Dec 6 2019).

To use this dataset:

import tensorflow_datasets as tfds

ds = tfds.load('imagenette', split='train')
for ex in ds.take(4):
 print(ex)

See the guide for more informations on tensorflow_datasets.

https://storage.googleapis.com/tfds-data/visualization/fig/imagenette-full-size-v2-1.0.0.png" alt="Visualization" width="500px">

Imagenette is a subset of 10 easily classified classes from Imagenet (bench, English springer, cassette player, chain saw, church, French horn, garbage truck, gas pump, golf ball, parachute).

This dataset contains images from the Imagenette dataset encoded as quantum states.

Generated Imagenette Dataset

  Description

This repository contains the dataset used for the generative-data-augmentation project. The dataset is organized as follows:

  Dataset Structure

analysis/: This directory contains analysis related to the dataset. metadata/: This directory contains the list of file path used for the Synthetic (Noisy) and Synthetic (Clean) datasets. synthetic/: This directory contains the image files. Each folder represents a class.… See the full description on the dataset page: https://huggingface.co/datasets/czl/generated-imagenette.

Dataset

This dataset was created by YongWo

Contents

AnnantJain/imagenette dataset hosted on Hugging Face and contributed by the HF Datasets community

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

Dataset

This dataset was created by Jeremy Howard

Released under Data files © Original Authors

Contents

It contains the following files:

ytia0661/imagenette dataset hosted on Hugging Face and contributed by the HF Datasets community

Dataset

This dataset was created by anil_adepu

Contents

It contains the following files:

Dataset Card for Imagenette

  Dataset Summary

A smaller subset of 10 easily classified classes from Imagenet, and a little more French. This dataset was created by Jeremy Howard, and this repository is only there to share his work on this platform. The repository owner takes no credit of any kind in the creation, curation or packaging of the dataset.

  Supported Tasks and Leaderboards

image-classification: The dataset can be used to train a model for Image… See the full description on the dataset page: https://huggingface.co/datasets/Pankajric22/test.

Dataset

This dataset was created by Adel Samigullin

Contents

Imagewang contains Imagenette and Imagewoof combined Image网 (pronounced "Imagewang"; 网 means "net" in Chinese) contains Imagenette and Imagewoof combined, but with some twists that make it into a tricky semi-supervised unbalanced classification problem:

• The validation set is the same as Imagewoof (i.e. 30% of Imagewoof images); there are no Imagenette images in the validation set (they're all in the training set)
• Only 10% of Imagewoof images are in the training set!
• The remaining are in the unsup ("unsupervised") directory, and you can not use their labels in training!
• It's even hard to type and hard to say!

The dataset comes in three variants:

• Full size
• 320 px
• 160 px

This dataset consists of the Imagenette dataset {size} variant.

To use this dataset:

import tensorflow_datasets as tfds

ds = tfds.load('imagewang', split='train')
for ex in ds.take(4):
 print(ex)

See the guide for more informations on tensorflow_datasets.

https://storage.googleapis.com/tfds-data/visualization/fig/imagewang-full-size-2.0.0.png" alt="Visualization" width="500px">

Dataset

This dataset was created by Prathamesh Sonawane

Contents

Instruction-prompted cartoonization dataset

This dataset was created from 5000 images randomly sampled from the Imagenette dataset. For more details on how the dataset was created, check out this directory. Following figure depicts the data preparation workflow:

  Known limitations and biases

The dataset was derived from Imagenette, which, in turn, was derived from ImageNet. So, naturally, this dataset inherits the limitations and biases of ImageNet.… See the full description on the dataset page: https://huggingface.co/datasets/Alexator26/CartoonSmall.

Neural Networks Dataset for Hypernetworks Research

  Summary

This repository contains a dataset of neural networks, designed for the purpose of hypernetworks research. The dataset includes 10,610 neural networks trained for binary image classification separated into 10 classes, such that each class contains 1,061 different neural networks that can identify a certain ImageNette V2 class from all other classes. The classification models used a LeNet-5 framework with each… See the full description on the dataset page: https://huggingface.co/datasets/dk4120/neural_network_parameter_dataset_lenet5_binary.