Using Image Data along with CSV file data for CNN model












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I have image data along with csv file where each row of csv file contains attributes for corresponding image.



I want to use images as well as csv file data to build CNN model using Keras.



What is preferred way of doing it?




  • I can append the attribute data with numpy array of image and train the model.

  • I can create 2 different models and use average/voting for prediction.


I think, in 1st appraoch csv file data which has around 50 columns would hardly matter as image shape is (128*128*3). Is it correct? and how can I give more importance to csv file (like 60% weightage to image data and 40% to csv file).



And again how CNN would work with that CSV file data as CNN is preferred on Image Data?










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    0












    $begingroup$


    I have image data along with csv file where each row of csv file contains attributes for corresponding image.



    I want to use images as well as csv file data to build CNN model using Keras.



    What is preferred way of doing it?




    • I can append the attribute data with numpy array of image and train the model.

    • I can create 2 different models and use average/voting for prediction.


    I think, in 1st appraoch csv file data which has around 50 columns would hardly matter as image shape is (128*128*3). Is it correct? and how can I give more importance to csv file (like 60% weightage to image data and 40% to csv file).



    And again how CNN would work with that CSV file data as CNN is preferred on Image Data?










    share|improve this question









    $endgroup$















      0












      0








      0





      $begingroup$


      I have image data along with csv file where each row of csv file contains attributes for corresponding image.



      I want to use images as well as csv file data to build CNN model using Keras.



      What is preferred way of doing it?




      • I can append the attribute data with numpy array of image and train the model.

      • I can create 2 different models and use average/voting for prediction.


      I think, in 1st appraoch csv file data which has around 50 columns would hardly matter as image shape is (128*128*3). Is it correct? and how can I give more importance to csv file (like 60% weightage to image data and 40% to csv file).



      And again how CNN would work with that CSV file data as CNN is preferred on Image Data?










      share|improve this question









      $endgroup$




      I have image data along with csv file where each row of csv file contains attributes for corresponding image.



      I want to use images as well as csv file data to build CNN model using Keras.



      What is preferred way of doing it?




      • I can append the attribute data with numpy array of image and train the model.

      • I can create 2 different models and use average/voting for prediction.


      I think, in 1st appraoch csv file data which has around 50 columns would hardly matter as image shape is (128*128*3). Is it correct? and how can I give more importance to csv file (like 60% weightage to image data and 40% to csv file).



      And again how CNN would work with that CSV file data as CNN is preferred on Image Data?







      machine-learning python deep-learning keras cnn






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