About NUS-WIDE

[MModerato]

Dear authors,
Could you please tell me how to get the NUS-WIDE data set ? I mean the data set that contains only 21 concepts. I've only found data sets with 81 concepts on the NUS-WIDE website. Thank you !
@lhmRyan

[lhmRyan]

The dataset with 21 labels is a subset of the whole NUS-WIDE dataset. Among the 81 concepts, we selected the 21 most common concepts (each of these 21 labels appear in more than 5000 images), and used the selected concepts in our experiments.

[MModerato]

Thank you for your rapid answer！

[liuyuying0829]

how get the NUS-WIDE data set? can you give a link or a complete command for the linux os.

[lhmRyan]

@liuyuying0829 You can download the NUS-WIDE dataset from BaiduCloud: link: https://pan.baidu.com/s/1kVl3iSJ password: 74qk

[MModerato]

I really appreciate your help! Is this the whole NUS-WIDE dataset? or the subset of it?

[lhmRyan]

@111Moderato It's the whole dataset

[MModerato]

Could you please tell me where the supplementary material mentioned in your paper Deep Supervised Hashing for Fast Image Retrieval ? @lhmRyan

[lhmRyan]

@111Moderato The supp can be acquired at: http://openaccess.thecvf.com/content_cvpr_2016/supplemental/Liu_Deep_Supervised_Hashing_2016_CVPR_supplemental.pdf

[MModerato]

Thank you！

[Kenny-Li2023]

带有 21 个标签的数据集是整个 NUS-WIDE 数据集的子集。在 81 个概念中，我们选择了 21 个最常见的概念（这 21 个标签中的每一个都出现在 5000 多张图像中），并在实验中使用了选定的概念。

Is there any explanation for these 21 types of labels? I want to know what type each bit in label.txt represents。Thank you！

[lhmRyan]

Hi, the 21 labels correspond to the following classes (e.g. the 1st label is "animal", the 2nd is "beach", etc.): animal，beach，building，clouds，flowers，grass，lake，mountain， ocean，person，plants，reflection，road，rocks，sky，snow，sunset，tree，vehicle， water，window

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On Thu, Sep 2, 2021 at 3:12 PM JaseLee ***@***.***> wrote: 带有 21 个标签的数据集是整个 NUS-WIDE 数据集的子集。在 81 个概念中，我们选择了 21 个最常见的概念（这 21 个标签中的每一个都出现在 5000 多张图像中），并在实验中使用了选定的概念。 Is there any explanation for these 21 types of labels? I want to know what type each bit in label.txt represents。Thank you！ — You are receiving this because you modified the open/close state. Reply to this email directly, view it on GitHub <#8 (comment)>, or unsubscribe <https://github.com/notifications/unsubscribe-auth/ACSXDWR5DX64DVNPPFOYBJDT74PVXANCNFSM4DRY23GA> . Triage notifications on the go with GitHub Mobile for iOS <https://apps.apple.com/app/apple-store/id1477376905?ct=notification-email&mt=8&pt=524675> or Android <https://play.google.com/store/apps/details?id=com.github.android&referrer=utm_campaign%3Dnotification-email%26utm_medium%3Demail%26utm_source%3Dgithub>.

[Kenny-Li2023]

Hi, the 21 labels correspond to the following classes (e.g. the 1st label is "animal", the 2nd is "beach", etc.): animal，beach，building，clouds，flowers，grass，lake，mountain， ocean，person，plants，reflection，road，rocks，sky，snow，sunset，tree，vehicle， water，window
…
On Thu, Sep 2, 2021 at 3:12 PM JaseLee @.***> wrote: 带有 21 个标签的数据集是整个 NUS-WIDE 数据集的子集。在 81 个概念中，我们选择了 21 个最常见的概念（这 21 个标签中的每一个都出现在 5000 多张图像中），并在实验中使用了选定的概念。 Is there any explanation for these 21 types of labels? I want to know what type each bit in label.txt represents。Thank you！ — You are receiving this because you modified the open/close state. Reply to this email directly, view it on GitHub <#8 (comment)>, or unsubscribe https://github.com/notifications/unsubscribe-auth/ACSXDWR5DX64DVNPPFOYBJDT74PVXANCNFSM4DRY23GA . Triage notifications on the go with GitHub Mobile for iOS https://apps.apple.com/app/apple-store/id1477376905?ct=notification-email&mt=8&pt=524675 or Android https://play.google.com/store/apps/details?id=com.github.android&referrer=utm_campaign%3Dnotification-email%26utm_medium%3Demail%26utm_source%3Dgithub.

Thank you !!