9 datasets found
  1. T

    imagenette

    • tensorflow.org
    • opendatalab.com
    • +1more
    Updated Jun 1, 2024
    + more versions
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    (2024). imagenette [Dataset]. https://www.tensorflow.org/datasets/catalog/imagenette
    Explore at:
    Dataset updated
    Jun 1, 2024
    Description

    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">

  2. h

    imagenette

    • huggingface.co
    Updated Aug 8, 2022
    + more versions
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    imagenette [Dataset]. https://huggingface.co/datasets/frgfm/imagenette
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Aug 8, 2022
    Authors
    F-G Fernandez
    License

    Apache License, v2.0https://www.apache.org/licenses/LICENSE-2.0
    License information was derived automatically

    Description

    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).

  3. Imagenette

    • kaggle.com
    zip
    Updated Apr 9, 2021
    + more versions
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    anil_adepu (2021). Imagenette [Dataset]. https://www.kaggle.com/aniladepu/imagenette
    Explore at:
    zip(1558402874 bytes)Available download formats
    Dataset updated
    Apr 9, 2021
    Authors
    anil_adepu
    Description

    Dataset

    This dataset was created by anil_adepu

    Contents

    It contains the following files:

  4. h

    generated-imagenette

    • huggingface.co
    Updated Jul 1, 2024
    + more versions
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    generated-imagenette [Dataset]. https://huggingface.co/datasets/czl/generated-imagenette
    Explore at:
    Dataset updated
    Jul 1, 2024
    Authors
    Zhu Lin
    License

    Apache License, v2.0https://www.apache.org/licenses/LICENSE-2.0
    License information was derived automatically

    Description

    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… See the full description on the dataset page: https://huggingface.co/datasets/czl/generated-imagenette.

  5. t

    CIFAR-10, Imagenette, and ImageNet

    • service.tib.eu
    Updated Dec 2, 2024
    + more versions
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    (2024). CIFAR-10, Imagenette, and ImageNet [Dataset]. https://service.tib.eu/ldmservice/dataset/cifar-10--imagenette--and-imagenet
    Explore at:
    Dataset updated
    Dec 2, 2024
    Description

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

  6. Imagewoof 160 px

    • kaggle.com
    zip
    Updated Oct 1, 2019
    + more versions
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    Jeremy Howard (2019). Imagewoof 160 px [Dataset]. https://www.kaggle.com/jhoward/imagewoof-160-px
    Explore at:
    zip(92403702 bytes)Available download formats
    Dataset updated
    Oct 1, 2019
    Authors
    Jeremy Howard
    Description

    Dataset

    This dataset was created by Jeremy Howard

    Released under Data files © Original Authors

    Contents

    It contains the following files:

  7. h

    imagenette

    • huggingface.co
    Updated Mar 18, 2025
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    Yuan Tian (2025). imagenette [Dataset]. https://huggingface.co/datasets/ytia0661/imagenette
    Explore at:
    Dataset updated
    Mar 18, 2025
    Authors
    Yuan Tian
    Description

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

  8. imagenette

    • kaggle.com
    zip
    Updated Oct 22, 2021
    + more versions
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    Adel Samigullin (2021). imagenette [Dataset]. https://www.kaggle.com/samadel/imagenette
    Explore at:
    zip(347593751 bytes)Available download formats
    Dataset updated
    Oct 22, 2021
    Authors
    Adel Samigullin
    Description

    Dataset

    This dataset was created by Adel Samigullin

    Contents

  9. Imagewoof 160 px

    • kaggle.com
    Updated Oct 1, 2019
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    Jeremy Howard (2019). Imagewoof 160 px [Dataset]. https://www.kaggle.com/jhoward/imagewoof-160-px/metadata
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Oct 1, 2019
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Jeremy Howard
    Description

    Dataset

    This dataset was created by Jeremy Howard

    Released under Data files © Original Authors

    Contents

  10. Not seeing a result you expected?
    Learn how you can add new datasets to our index.

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(2024). imagenette [Dataset]. https://www.tensorflow.org/datasets/catalog/imagenette

imagenette

Explore at:
5 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Jun 1, 2024
Description

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">

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