1000 color jpg images classification with labels

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Jerone 2014-4-7

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https://ww2.mathworks.cn/matlabcentral/answers/124885-1000-color-jpg-images-classification-with-labels

编辑： Image Analyst 2014-4-8

I have 1000 color jpg images called train_image_#.jpg where # = 1:1000

I want to load them then with labels '1' for my training set (which consists of only one class: labelled 1)

can anyone help me with this. thanks!

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Answer 1

Image Analyst 2014-4-7

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https://ww2.mathworks.cn/matlabcentral/answers/124885-1000-color-jpg-images-classification-with-labels#answer_132653

See the FAQ for code examples: http://matlab.wikia.com/wiki/FAQ#How_can_I_process_a_sequence_of_files.3F

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Image Analyst 2014-4-8

在 MATLAB Online 中打开

If I understood what Sabanam said (and Jerone agreed to), it sounds like you could "label" each file by either using movefile() to rename it with a new name where the "label number" is appended to the original file name, or just put the training and testing set images in two different folders.

However Jerone's last comment seems to indicate that some kind of image analysis would be done on the image and a number would be returned. Then you'd just assign those to a results array to keep log of what class the image was determined to be in;

myFolder = 'C:/My Images';
if ~isdir(myFolder)
  errorMessage = sprintf('Error: The following folder does not exist:\n%s', myFolder);
  uiwait(warndlg(errorMessage));
  return;
end
filePattern = fullfile(myFolder, '*.jpg');
jpegFiles = dir(filePattern);
for k = 1:length(jpegFiles)
  baseFileName = jpegFiles(k).name;
  fullFileName = fullfile(myFolder, baseFileName);
  fprintf(1, 'Now reading %s\n', fullFileName);
  imageArray = imread(fullFileName);
  % Now determine what class this image is and store the result.
  % AnalyzeSingleImage() is some function that Jerone writes.
  imageClasses(k) = AnalyzeSingleImage(imageArray);
end
% Now imageClasses is a record of what the classes are for all the images.

Jerone 2014-4-8

(Note: I haven't tried what you just suggested, but I will do a bit later.)

However, just to further clarify using a similar example- See this Kaggle competition http://www.kaggle.com/c/cifar-10 (CIFAR-10 - Object Recognition in Images):

There are thousands of images in the training set, and you are also given a .csv file with two columns: the first column is the name of the image, and the second column is the class that the image belongs to.

So, if i created a .csv file with the name of my images (first column) and the class of the images (second column), how do I go about loading this in matlab?

Image Analyst 2014-4-8

编辑：Image Analyst 2014-4-8

You can use readtable() (if you have R2014a version). You can't use csvread() - it won't work since both columns aren't numbers, so you should use readtable() which can handle columns of different types. If you have an old version of MATLAB, use textscan() or fgetl() along with sscanf().

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