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Mturk用户在图像数据集上感知的聚类

Mturk用户在图像数据集上感知的聚类

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Computer Clustering

Shan-Hung WuAssociate Professor, CS, National Tsing Hua University(NTHU) Email: shwu [AT] cs.nthu.edu.twData Set Informa......

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    README.md

    Shan-Hung Wu
    Associate Professor, CS, National Tsing Hua University(NTHU)
    Email: shwu [AT] cs.nthu.edu.tw


    Data Set Information:

    该数据集由台湾省国立清华大学的吴珊红和数据实验室成员收集。它从全国大学的图像数据库中随机抽取了180幅图像。每幅图像有500个特征,由基于SIFT描述的单词组成。在Amazon Mechanical Turk平台上进行了一系列实验,共有325个用户感知集群,来自100个用户及其相应的描述。


    Dataset spec 1:

    - #Image: 180
    - #Cluster: 325 (may be created by different users)
    - #User: 100
    - |Vocabulary of supervision|: 108


    - cluster_data.csv : 325 clusters x 180 images
    - 'cluster_data.csv' is an indicator matrix. M_(i,j) = 1 if image_j belongs to cluster_i. Note: Clusters may be created by different users.


    - cluster_userIndex.csv : 325 clusters x 1 userIndex(0-99)
    - 'cluster_userIndex.csv' is an vector where V_i = k if cluster_i is grouped by user_k.

    - data_feature.csv : 180 images x 500 features
    - Each row is 500 features vector consisting of the bag of words based on SIFT descriptions. All 180 images are sampled from NUS-WIDE dataset.
    - Reference: [Web link]

    - supervision_cluster_matrix.csv : 108 bag of words x 183 clusters
    - We parse the raw supervisions and merge similar words into 108 dimensions. Each row is a description of corresponding cluster.

    - perception_words.csv : 108 perception words
    - Vocabulary of perception words .


    Dataset spec 2(Raw data):

    - cluster_list.csv:
    -FileName: ['UserId'], ['ImageId Cluster'], ['Description']
    -['UserId']: Specify the user who created the cluster.
    -['ImageId Cluster']: Image ids in the cluster which are separated by ';'.
    -['Description']: A sentence or some keywords describe the images in the cluster by user.
    - 325 records(clusters) in total.


    Attribute Information:

    As the above.


    Relevant Papers:

    Learning User Perceived Clusters with Feature-Level Supervision
    Ting-Yu Cheng, ; Kuan-Hua Lin, ; Xinyang Gong, Baidu Inc.; Kang-Jun Liu, ; Shan-Hung Wu*, National Tsing Hua University



    Citation Request:

    Please include this citation if you use this dataset.

    Learning User Perceived Clusters with Feature-Level Supervision
    Ting-Yu Cheng, ; Kuan-Hua Lin, ; Xinyang Gong, Baidu Inc.; Kang-Jun Liu, ; Shan-Hung Wu*, National Tsing Hua University

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