ImageNet数据集下载

ImageNet数据集是Vision领域最重要的数据集之一，十分经典也十分常用，但是该数据集体量较大，而且由于在外网下载速度较慢，其中最为重要的一点是该数据集只提供给高校科研工作者，这也就意味着你必须有一个edu的邮箱才可以下载该数据集。

需要注意的是该数据不可用于商用。

数据集的官网地址：

https://image-net.org/index.php

数据集的下载页面：

https://image-net.org/download-images.php

这里需要注意的是下载前要求必须注册，而且必须是教育网邮箱注册成功后才可以有权限下载。

注册成功后获得的邮件通知，需要验证后才可以进行下载数据。

注册成功后打开下载页面：

在上面可以找到对应版本的数据集。

在历年的数据集中我们一般使用经典的ILSVRC2012，因此这里也是对该数据集进行下载。

==============================================

Development Kit

The development kit includes

Meta data for the competition categories.
Matlab routines for evaluating submissions.

Please be sure to consult the readme file included in the development kit.

Development kit (Task 1 & 2). 2.5MB.

Development kit (Task 3). 22MB.

Images

Training images (Task 1 & 2). 138GB. MD5: 1d675b47d978889d74fa0da5fadfb00e

Training images (Task 3). 728MB. MD5: ccaf1013018ac1037801578038d370da

Validation images (all tasks). 6.3GB. MD5: 29b22e2961454d5413ddabcf34fc5622

Test images (all tasks). 13GB. MD5: e1b8681fff3d63731c599df9b4b6fc02
If you downloaded ILSVRC 2012 test images on or before 10/10/2019, please applythis patchto replace a subset of images (a total of 2 images are replaced). Note that training and validation images are not affected.

You will use the data only for non-commercial research and educational purposes.
You will NOT distribute the above URL(s).p
Stanford University and Princeton University make no representations or warranties regarding the data, including but not limited to warranties of non-infringement or fitness for a particular purpose.
You accept full responsibility for your use of the data and shall defend and indemnify Stanford University and Princeton University, including their employees, officers and agents, against any and all claims arising from your use of the data, including but not limited to your use of any copies of copyrighted images that you may create from the data.

Bounding Boxes

Training bounding box annotations (Task 1 & 2 only) . 20MB. MD5: 9271167e2176350e65cfe4e546f14b17

Training bounding box annotations (Task 3 only) . 1MB. MD5: 61ebd3cc0e4793899a841b6b27f3d6d8

Validation bounding box annotations (all tasks) . 2.2MB. MD5: f4cd18b5ea29fe6bbea62ec9c20d80f0

Test bounding box annotations (Task 3 only). 33MB. MD5: 2dfdb2677fd9661585d17d5a5d027624

=====================================================

2012年版本的所有数据集文件全部下载：

使用教育网下载速度还是可以的，基本一天时间就差不多搞定。

==================================================