Participation to the Yelp Competition of Kaggle

DATASET

Training

Restaurants: 2000 Images: 234843

Test

Restaurants: 10000 Images: ~237000

DEPENDENCIES

Dependencies for SURF & Clustering (http://mulan.sourceforge.net/)

python 3.x
openCV 2.4
[scikit-learn] (http://scikit-learn.org/stable/)

(to make python 3 and openCV work for SURF follow the awesome instructions in this [link] (http://www.pyimagesearch.com/2015/07/16/where-did-sift-and-surf-go-in-opencv-3/))

Dependencies for Classification

[weka 3.7.10] (https://sourceforge.net/projects/weka/files/weka-3-7/3.7.10/)
java 1.7 or higher
[mulan 1.5] (http://mulan.sourceforge.net/)

PROCEDURE:

Load images
Find POI (SIFT / SURF & OpenCV) & form POIVector
Clustering on POI in order to form PhotoVector
Clustering on Images in order to get form BusinessVector
Form training dataset from BusinessVector and labels
Classification & evaluation on training dataset
Predictions on test dataset