Pankajric22/test

---
annotations_creators:
- crowdsourced
language_creators:
- crowdsourced
language:
- en
license:
- apache-2.0
multilinguality: []
size_categories:
- 1K<n<10K
source_datasets:
- extended
task_categories:
- image-classification
task_ids: []
paperswithcode_id: imagenette
pretty_name: Imagenette
---

# Dataset Card for Imagenette

## Table of Contents
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-instances)
- [Data Fields](#data-fields)
- [Data Splits](#data-splits)
- [Dataset Creation](#dataset-creation)
- [Curation Rationale](#curation-rationale)
- [Source Data](#source-data)
- [Annotations](#annotations)
- [Personal and Sensitive Information](#personal-and-sensitive-information)
- [Considerations for Using the Data](#considerations-for-using-the-data)
- [Social Impact of Dataset](#social-impact-of-dataset)
- [Discussion of Biases](#discussion-of-biases)
- [Other Known Limitations](#other-known-limitations)
- [Additional Information](#additional-information)
- [Dataset Curators](#dataset-curators)
- [Licensing Information](#licensing-information)
- [Citation Information](#citation-information)
- [Contributions](#contributions)

## Dataset Description

- **Homepage:** https://github.com/fastai/imagenette
- **Repository:** https://github.com/fastai/imagenette
- **Leaderboard:** https://paperswithcode.com/sota/image-classification-on-imagenette

### Dataset Summary

A smaller subset of 10 easily classified classes from [Imagenet](https://huggingface.co/datasets/imagenet-1k#dataset-summary), and a little more French.
This dataset was created by [Jeremy Howard](https://twitter.com/jeremyphoward), 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](https://huggingface.co/datasets/imagenet-1k). Information about data collection of the source data can be found [here](https://huggingface.co/datasets/imagenet-1k#initial-data-collection-and-normalization).

### 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](https://www.apache.org/licenses/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](https://twitter.com/jeremyphoward) and published on [Github](https://github.com/fastai/imagenette). It was then only integrated into HuggingFace Datasets by [@frgfm](https://huggingface.co/frgfm).

原始信息汇总

数据集卡片 - Imagenette

数据集描述

数据集概述

Imagenette是一个从ImageNet中选取的10个易于分类的类别的小型子集。该数据集由Jeremy Howard创建。

支持的任务和排行榜

• image-classification: 该数据集可用于训练图像分类模型。

语言

数据集中的类别标签为英语。

数据集结构

数据实例

每个数据点包含一个图像URL及其分类标签。

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

数据字段

• image: 一个包含图像的PIL.Image.Image对象。
• label: 图像的预期类别标签。

数据分割

	train	validation
imagenette	9469	3925

数据集创建

数据来源

Imagenette是ImageNet的一个子集。

标注

标注过程

参考ImageNet的标注过程。

标注者

参考ImageNet的标注者。

个人和敏感信息

参考ImageNet的个人和敏感信息。

使用数据的注意事项

数据集的社会影响

参考ImageNet的社会影响。

偏见的讨论

参考ImageNet的偏见讨论。

其他已知限制

参考ImageNet的其他已知限制。

附加信息

数据集策展人

参考ImageNet的策展人和Jeremy Howard。

许可信息

Apache License 2.0。

引用信息

@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} }

贡献

该数据集由Jeremy Howard创建并发布在Github上，随后由@frgfm集成到HuggingFace Datasets中。