imagenet-w21-p

## Dataset Description

- **Homepage:** https://image-net.org/index.php
- **Paper:** https://arxiv.org/abs/1409.0575

### Dataset Summary

This is a subset of the full `Winter21`, filtered according to https://github.com/Alibaba-MIIL/ImageNet21K. This instance contains 10450 classes with a train and validation split.

### Processing
I performed some processing while sharding this dataset:
* Synsets were filtered according to ImageNet-21-P scripts
* Images were re-encoded in WEBP

## Additional Information

### Dataset Curators

Authors of [[1]](https://arxiv.org/abs/1409.0575) and [[2]](https://ieeexplore.ieee.org/abstract/document/5206848):

- Olga Russakovsky
- Jia Deng
- Hao Su
- Jonathan Krause
- Sanjeev Satheesh
- Wei Dong
- Richard Socher
- Li-Jia Li
- Kai Li
- Sean Ma
- Zhiheng Huang
- Andrej Karpathy
- Aditya Khosla
- Michael Bernstein
- Alexander C Berg
- Li Fei-Fei

### Licensing Information

In exchange for permission to use the ImageNet database (the "Database") at Princeton University and Stanford University, Researcher hereby agrees to the following terms and conditions:

1. Researcher shall use the Database only for non-commercial research and educational purposes.
1. Princeton University and Stanford University make no representations or warranties regarding the Database, including but not limited to warranties of non-infringement or fitness for a particular purpose.
1. Researcher accepts full responsibility for his or her use of the Database and shall defend and indemnify the ImageNet team, Princeton University, and Stanford University, including their employees, Trustees, officers and agents, against any and all claims arising from Researcher's use of the Database, including but not limited to Researcher's use of any copies of copyrighted images that he or she may create from the Database.
1. Researcher may provide research associates and colleagues with access to the Database provided that they first agree to be bound by these terms and conditions.
1. Princeton University and Stanford University reserve the right to terminate Researcher's access to the Database at any time.
1. If Researcher is employed by a for-profit, commercial entity, Researcher's employer shall also be bound by these terms and conditions, and Researcher hereby represents that he or she is fully authorized to enter into this agreement on behalf of such employer.
1. The law of the State of New Jersey shall apply to all disputes under this agreement.

### Citation Information

```bibtex
@article{imagenet15russakovsky,
Author = {Olga Russakovsky and Jia Deng and Hao Su and Jonathan Krause and Sanjeev Satheesh and Sean Ma and Zhiheng Huang and Andrej Karpathy and Aditya Khosla and Michael Bernstein and Alexander C. Berg and Li Fei-Fei},
Title = { {ImageNet Large Scale Visual Recognition Challenge} },
Year = {2015},
journal = {International Journal of Computer Vision (IJCV)},
doi = {10.1007/s11263-015-0816-y},
volume={115},
number={3},
pages={211-252}
}
```

# 数据集说明
- **主页**：https://image-net.org/index.php
- **论文**：https://arxiv.org/abs/1409.0575

## 数据集概览
本数据集为完整`Winter21`的子集，依据https://github.com/Alibaba-MIIL/ImageNet21K进行筛选。本数据集实例包含10450个类别，并划分了训练集与验证集。

## 处理流程
本数据集在分块过程中进行了如下处理：
* 同义词集（Synset）依据ImageNet-21-P脚本进行筛选
* 图像已重新编码为WEBP格式

## 附加信息
### 数据集策展人
论文[[1]](https://arxiv.org/abs/1409.0575)与[[2]](https://ieeexplore.ieee.org/abstract/document/5206848)的作者：
- Olga Russakovsky
- Jia Deng
- Hao Su
- Jonathan Krause
- Sanjeev Satheesh
- Wei Dong
- Richard Socher
- Li-Jia Li
- Kai Li
- Sean Ma
- Zhiheng Huang
- Andrej Karpathy
- Aditya Khosla
- Michael Bernstein
- Alexander C Berg
- Li Fei-Fei

### 许可信息
为获取在普林斯顿大学与斯坦福大学使用ImageNet数据库（下称“本数据库”）的权限，研究人员特此同意以下条款与条件：
1. 研究人员仅可将本数据库用于非商业性研究与教育目的。
2. 普林斯顿大学与斯坦福大学不对本数据库作出任何声明或保证，包括但不限于非侵权性或特定用途适用性的保证。
3. 研究人员需对其使用本数据库的行为承担全部责任，并需就因使用本数据库（包括但不限于研究人员从本数据库制作的受版权保护的图像副本）所引发的任何及所有索赔，对ImageNet团队、普林斯顿大学及斯坦福大学（包括其雇员、受托人、管理人员与代理人）进行辩护并赔偿。
4. 研究人员可向研究助理与同事提供本数据库的访问权限，前提是他们首先同意受本条款与条件约束。
5. 普林斯顿大学与斯坦福大学保留随时终止研究人员使用本数据库权限的权利。
6. 若研究人员受雇于营利性商业实体，则其雇主亦需受本条款与条件约束，且研究人员特此声明其已获得充分授权，可代表该雇主签署本协议。
7. 本协议项下的所有争议均适用新泽西州法律。

### 引用信息
bibtex
@article{imagenet15russakovsky,
Author = {Olga Russakovsky and Jia Deng and Hao Su and Jonathan Krause and Sanjeev Satheesh and Sean Ma and Zhiheng Huang and Andrej Karpathy and Aditya Khosla and Michael Bernstein and Alexander C. Berg and Li Fei-Fei},
Title = { {ImageNet Large Scale Visual Recognition Challenge} },
Year = {2015},
journal = {International Journal of Computer Vision (IJCV)},
doi = {10.1007/s11263-015-0816-y},
volume={115},
number={3},
pages={211-252}
}

搜集汇总

背景与挑战

背景概述

该数据集是Winter21的子集，基于ImageNet21K过滤而来，包含10450个类别，并划分为训练和验证部分。处理过程中，通过ImageNet-21-P脚本筛选了Synsets，并将图像重新编码为WEBP格式。