We are pleased to announce that the development of the notorious "Method for Object Recognition of Obscure Nature" (or Moron, for short) has been switched to the R language. Given a directory of images (i.e. jpegs), Moron attempts to predict a category distribution for the content of each image. The default categories modelled are {healthy,pron, latex/fetish,japanese_cg,manga,b/w photo}. Supposing good statistical models can be designed for problems like these, Moron could eventually be usable as a spam filter for visual data or to sort images, depending on your taste. Currently it is not accurate enough for production use. The Moron package contains a data.frame to estimate a model to recognize the default categories, and source code to evaluate new images, collect new training sets (this can be done simply by putting images of different classes to different directories and running a few provided functions) and train new classifiers. The included Local Binary Pattern (LBP) feature extractors and RGB<->HSV conversion routines might be of aside interest. Due to its ability to visualize the predictions made per image region, Moron is a guaranteed hit in both parties and classrooms, if only given a juicy enough set of test images. Even layman (male) audience has been seen to be captivated by the antics of Moron, efficiently rivalling traditional aquariums and fireplaces. Moron is released under GPL. Version 0.6.0b for R can be dl'ed from http://sourceforge.net/project/showfiles.php?group_id=7434&package_id=68958 The package relies on R libraries 'randomForest' and 'pixmap'. It has been developed on Linux, but is probably usable on other systems with only a few simple modifications. Have fun, Igor _______________________________________________ R-packages mailing list R-packages at stat.math.ethz.ch https://www.stat.math.ethz.ch/mailman/listinfo/r-packages