Imagewoof is a subset of 10 classes from Imagenet that aren't so easy to classify, since they're all dog breeds. The breeds are: Australian terrier, Border terrier, Samoyed, Beagle, Shih-Tzu, English foxhound, Rhodesian ridgeback, Dingo, Golden retriever, Old English sheepdog.

Dataset

This dataset was created by Jeremy Howard

Released under Data files © Original Authors

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Generated Imagewoof 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-imagewoof.

Dataset

This dataset was created by cem saydam

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Dataset

This dataset was created by Not SOTA

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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 铭城冰淇淋

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ImageNette

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

'Imagenette' is pronounced just like 'Imagenet', except with a corny inauthentic French accent. If you've seen Peter Sellars in The Pink Panther, then think something like that. It's important to ham up the accent as much as possible, otherwise people might not be sure whether you're refering to "Imagenette" or "Imagenet". (Note to native French speakers: to avoid confusion, be sure to use a corny inauthentic American accent when saying "Imagenet". Think something like the philosophy restaurant skit from Monty Python's The Meaning of Life.)

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

The '320 px' and '160 px' versions have their shortest side resized to that size, with their aspect ratio maintained.

Too easy for you? In that case, you might want to try Imagewoof.

Imagewoof

Imagewoof is a subset of 10 classes from Imagenet that aren't so easy to classify, since they're all dog breeds. The breeds are: Australian terrier, Border terrier, Samoyed, Beagle, Shih-Tzu, English foxhound, Rhodesian ridgeback, Dingo, Golden retriever, Old English sheepdog. (No we will not enter in to any discussion in to whether a dingo is in fact a dog. Any suggestions to the contrary are un-Australian. Thank you for your cooperation.)

Full size download; 320 px download; 160 px download.

Dataset

This dataset was created by Prajjval Govil

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