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Details of dataset used for training face haarcascades

I want to compare the performance of HoG-SVM (dalal-triggs) detector and Viola-Jones on faces. In order to have fair comparison, I would like to use the same training data for training HoG-SVM detector that was used for OpenCV Viola-Jones cascade. I tried to look into the openCV documentation and could not find the details of the training set used for generating haar_cascade_frontalface.xml ? I also looked into the paper [1] but it only says that around 5000 positive images have been used for training but does not specify the name of the dataset. Could anyone provide the details of the dataset used for Opencv frontal face cascades?

[1] Rainer Lienhart, Alexander Kuranov, Vadim Pisarevsky, Empirical Analysis of Detection Cascades of Boosted Classifiers for Rapid Object Detection, Tech Report, MERL 2002.

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updated 2014-03-12 01:58:50 -0500

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Details of dataset used for training face haarcascades

I want to compare the performance of HoG-SVM (dalal-triggs) detector and Viola-Jones on faces. In order to have fair comparison, I would like to use the same training data for training HoG-SVM detector that was used for OpenCV Viola-Jones cascade. I tried to look into the openCV documentation and could not find the details of the training set used for generating haar_cascade_frontalface.xml ? I also looked into the paper [1] but it only says that around 5000 positive images have been used for training but does not specify the name of the dataset. Could anyone provide the details of the dataset used for Opencv frontal face cascades?

[1] Rainer Lienhart, Alexander Kuranov, Vadim Pisarevsky, Empirical Analysis of Detection Cascades of Boosted Classifiers for Rapid Object Detection, Tech Report, MERL 2002.