Datasets:

Languages:
English
Size Categories:
1K<n<10K
Language Creators:
crowdsourced
Annotations Creators:
crowdsourced
Source Datasets:
extended
License:
The dataset viewer is not available for this dataset.
Cannot get the config names for the dataset.
Error code:   ConfigNamesError
Exception:    DataFilesNotFoundError
Message:      No (supported) data files found in Pankajric22/test
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/dataset/config_names.py", line 66, in compute_config_names_response
                  config_names = get_dataset_config_names(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/inspect.py", line 347, in get_dataset_config_names
                  dataset_module = dataset_module_factory(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 1873, in dataset_module_factory
                  raise e1 from None
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 1854, in dataset_module_factory
                  return HubDatasetModuleFactoryWithoutScript(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 1245, in get_module
                  module_name, default_builder_kwargs = infer_module_for_data_files(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 595, in infer_module_for_data_files
                  raise DataFilesNotFoundError("No (supported) data files found" + (f" in {path}" if path else ""))
              datasets.exceptions.DataFilesNotFoundError: No (supported) data files found in Pankajric22/test

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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 Classification.

Languages

The class labels in the dataset are in English.

Dataset Structure

Data Instances

A data point comprises an image URL and its classification label.

{
  'image': <PIL.JpegImagePlugin.JpegImageFile image mode=RGB size=320x320 at 0x19FA12186D8>,
  'label': 'tench',
}

Data Fields

  • image: A PIL.Image.Image object containing the image.
  • label: the expected class label of the image.

Data Splits

train validation
imagenette 9469 3925

Dataset Creation

Curation Rationale

cf. https://huggingface.co/datasets/imagenet-1k#curation-rationale

Source Data

Initial Data Collection and Normalization

Imagenette is a subset of ImageNet. Information about data collection of the source data can be found here.

Annotations

Annotation process

cf. https://huggingface.co/datasets/imagenet-1k#annotation-process

Who are the annotators?

cf. https://huggingface.co/datasets/imagenet-1k#who-are-the-annotators

Personal and Sensitive Information

cf. https://huggingface.co/datasets/imagenet-1k#personal-and-sensitive-information

Considerations for Using the Data

Social Impact of Dataset

cf. https://huggingface.co/datasets/imagenet-1k#social-impact-of-dataset

Discussion of Biases

cf. https://huggingface.co/datasets/imagenet-1k#discussion-of-biases

Other Known Limitations

cf. https://huggingface.co/datasets/imagenet-1k#other-known-limitations

Additional Information

Dataset Curators

cf. https://huggingface.co/datasets/imagenet-1k#dataset-curators and Jeremy Howard

Licensing Information

Apache License 2.0.

Citation Information

@software{Howard_Imagenette_2019,
    title={Imagenette: A smaller subset of 10 easily classified classes from Imagenet},
    author={Jeremy Howard},
    year={2019},
    month={March},
    publisher = {GitHub},
    url = {https://github.com/fastai/imagenette}
}

Contributions

This dataset was created by Jeremy Howard and published on Github. It was then only integrated into HuggingFace Datasets by @frgfm.

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