nateraw/sync_food101

---
annotations_creators:
- crowdsourced
language_creators:
- crowdsourced
language:
- en
license:
- unknown
multilinguality:
- monolingual
pretty_name: food101
size_categories:
- 10K<n<100K
source_datasets:
- extended|other-foodspotting
task_categories:
- other
task_ids:
- other-other-image-classification
paperswithcode_id: food-101
---

# Dataset Card for Food-101

## 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:**[Food-101 Dataset](https://data.vision.ee.ethz.ch/cvl/datasets_extra/food-101/)
- **Repository:** N/A
- **Paper:**[Paper](https://data.vision.ee.ethz.ch/cvl/datasets_extra/food-101/static/bossard_eccv14_food-101.pdf)
- **Leaderboard:** N/A
- **Point of Contact:** N/A

### Dataset Summary

This dataset consists of 101 food categories, with 101'000 images. For each class, 250 manually reviewed test images are provided as well as 750 training images. On purpose, the training images were not cleaned, and thus still contain some amount of noise. This comes mostly in the form of intense colors and sometimes wrong labels. All images were rescaled to have a maximum side length of 512 pixels.

### Supported Tasks and Leaderboards

- image-classification

### Languages

English

## Dataset Structure

### Data Instances

A sample from the training set is provided below:

```
{
'image': '/root/.cache/huggingface/datasets/downloads/extracted/6e1e8c9052e9f3f7ecbcb4b90860668f81c1d36d86cc9606d49066f8da8bfb4f/food-101/images/churros/1004234.jpg',
'label': 23
}
```

### Data Fields

The data instances have the following fields:

- `image`: a `string` filepath to an image.
- `label`: an `int` classification label.

### Data Splits

| name |train|validation|
|----------|----:|---------:|
|food101|75750|25250|

## Dataset Creation

### Curation Rationale

[More Information Needed]

### Source Data

#### Initial Data Collection and Normalization

[More Information Needed]

#### Who are the source language producers?

[More Information Needed]

### Annotations

#### Annotation process

[More Information Needed]

#### Who are the annotators?

[More Information Needed]

### Personal and Sensitive Information

[More Information Needed]

## Considerations for Using the Data

### Social Impact of Dataset

[More Information Needed]

### Discussion of Biases

[More Information Needed]

### Other Known Limitations

[More Information Needed]

## Additional Information

### Dataset Curators

[More Information Needed]

### Licensing Information

[More Information Needed]

### Citation Information

```
@inproceedings{bossard14,
title = {Food-101 -- Mining Discriminative Components with Random Forests},
author = {Bossard, Lukas and Guillaumin, Matthieu and Van Gool, Luc},
booktitle = {European Conference on Computer Vision},
year = {2014}
}
```

### Contributions

Thanks to [@nateraw](https://github.com/nateraw) for adding this dataset.

原始信息汇总

数据集概述

数据集基本信息

• 名称: Food-101
• 语言: 英语
• 许可证: 未知
• 多语言性: 单语
• 大小: 10K<n<100K
• 来源数据集: 扩展自其他-foodspotting
• 任务类别: 其他
• 任务ID: other-other-image-classification
• 论文链接: Food-101 Paper

数据集描述

• 概述: 包含101个食品类别，共101,000张图片。每个类别包含250张手动审核的测试图片和750张训练图片。训练图片未经清理，包含一定噪音，主要表现为颜色强烈和偶尔的错误标签。所有图片的最大边长调整为512像素。
• 支持的任务: 图像分类

数据集结构

• 数据实例: 每个实例包含一个图像文件路径和一个分类标签。

  { image: /path/to/image.jpg, label: 23 }

• 数据字段:

  • image: 字符串，图像文件路径。
  • label: 整数，分类标签。

• 数据分割:

  名称	训练	验证
  food101	75750	25250

数据集创建

• 注释: 由众包完成

• 贡献者: 感谢@nateraw添加此数据集。

• 引用信息:

  @inproceedings{bossard14, title = {Food-101 -- Mining Discriminative Components with Random Forests}, author = {Bossard, Lukas and Guillaumin, Matthieu and Van Gool, Luc}, booktitle = {European Conference on Computer Vision}, year = {2014} }