added  machine_learn/blob_hog_predict_common_url_set/<star>.pickle files, these contain two sets of People/Food randomly shuffled image urls, answers (0 is Food, 1 is People), and blob features for each. The two sets are: 1) 'NoLimbs' 500 image set with 250 Food and 250 Faces but not limbs images, 2) 'FacesAndLimbs' 502 image set, 250 of Food, 126 of NoLimbs(only Faces), and 126 of Limbs (no faces) so a mix. Therefore, Blob method does worse on #2, unkown if Hog method does much worse when dealing with only Limbs not faces