# Recognize Objects — Steps

Note: For more information on the specific steps of setting up the tool, see the Using the Green Classify Tool topic.

1. Add the images for the Classify tutorial.
2. Process the images (i.e. image segmentation).

3. Label the images according to the image filename, using the following regular expression: (\d*)_.*

   The images are given the following name, n_Ixcy.png, where n is the object number, composed of 1 to 3 characters, and x and y are numbers describing the incidence of light.

   We want to tag them according to the object number. To do this, we will use a regexp (regular expression) :

       (^.*)_.*
       select: ()
       all characters at the beginning: ^.*
       before '_': _
       and ignore the rest: .*

4. Now that the images are correctly tagged, it is possible to run the first training. Let's keep all the parameters at their default values.
5. Verify that the Train Selection parameter is set to 50%.
6. Train the tool, using the images you imported.
7. Review the results. This training does not rely on cross validation data, which means that all the data used for the training is the same as that used to measure the performance. There is no indication that this training will generalize to new data.