Extract specific column from FacialFeatures output dataset

Hi,

as newbie in Wolfram language, I went through documentation in order to figure out how I can select only specific columns from the output dataset of the FacialFeatures built-in symbol.
So what I did is :

In[1]:= Dataset[FacialFeatures[Import["C:/images/people.jpeg"]], "Gender","Age"]

But didn’t work so far. it’s still giving me all columns ignoring data[…] built-in symbol

How can I get only the requested columns ?

Thanks for your support.

Issue Solved.
That has to be like this (too much reading : I mean documentation :-)):

In[1]:= FacialFeatures[Import["C:/images/people.jpeg"], {"Gender","Age"}]

With this you get only required columns of dataset.

For tecture LBP, Gabor and SIFT are a good starting point, and geometric (FAP) features, using Adaboost, mRMR and SVM feature selection algorithms could be helpfull..
Hoping it can help you..