Tool For Multi-Label Image Classification












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I am currently working on a project that requires multi-label image classification. The best way to achieve this seems to be through Binary Relevance.



I was intending to use a convolutional neural net, and I've looked into scikit-multilearn on top of Keras. However, I don't see a way as to how I can load image data as a dataset into scikit-multilearn, only ARFF formatted data. Is this possible, or should I manually create the binary classifiers in Keras myself?



And if so, can Binary Relevance in Keras be implemented in parallel, or only sequentially? How does scikit-multilearn implement it?










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    $begingroup$


    I am currently working on a project that requires multi-label image classification. The best way to achieve this seems to be through Binary Relevance.



    I was intending to use a convolutional neural net, and I've looked into scikit-multilearn on top of Keras. However, I don't see a way as to how I can load image data as a dataset into scikit-multilearn, only ARFF formatted data. Is this possible, or should I manually create the binary classifiers in Keras myself?



    And if so, can Binary Relevance in Keras be implemented in parallel, or only sequentially? How does scikit-multilearn implement it?










    share|improve this question







    New contributor




    Felandric is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
    Check out our Code of Conduct.







    $endgroup$















      0












      0








      0





      $begingroup$


      I am currently working on a project that requires multi-label image classification. The best way to achieve this seems to be through Binary Relevance.



      I was intending to use a convolutional neural net, and I've looked into scikit-multilearn on top of Keras. However, I don't see a way as to how I can load image data as a dataset into scikit-multilearn, only ARFF formatted data. Is this possible, or should I manually create the binary classifiers in Keras myself?



      And if so, can Binary Relevance in Keras be implemented in parallel, or only sequentially? How does scikit-multilearn implement it?










      share|improve this question







      New contributor




      Felandric is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
      Check out our Code of Conduct.







      $endgroup$




      I am currently working on a project that requires multi-label image classification. The best way to achieve this seems to be through Binary Relevance.



      I was intending to use a convolutional neural net, and I've looked into scikit-multilearn on top of Keras. However, I don't see a way as to how I can load image data as a dataset into scikit-multilearn, only ARFF formatted data. Is this possible, or should I manually create the binary classifiers in Keras myself?



      And if so, can Binary Relevance in Keras be implemented in parallel, or only sequentially? How does scikit-multilearn implement it?







      machine-learning deep-learning keras scikit-learn multilabel-classification






      share|improve this question







      New contributor




      Felandric is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
      Check out our Code of Conduct.











      share|improve this question







      New contributor




      Felandric is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
      Check out our Code of Conduct.









      share|improve this question




      share|improve this question






      New contributor




      Felandric is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
      Check out our Code of Conduct.









      asked 1 hour ago









      FelandricFelandric

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      New contributor





      Felandric is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
      Check out our Code of Conduct.






      Felandric is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
      Check out our Code of Conduct.






















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