Datasets and Virtual Machines

Research Datasets

Neurocomputing Paper

Ponti, M. and Nazare, T. and Thume, G. "Image quantization as a dimensionality reduction procedure in color and texture feature extraction". Neurocomputing, v.173, 2016.

Caltech101-600 (modified for Neurocomputing Special Issue submission): download
Produce-1400 (modified for Neurocomputing Special Issue submission): download

IEEE Computer Graphics and Applications

Ponti, M. et al. "Precision Agriculture: using low-cost systems to acquire low-altitude images". IEEE Computer Graphics and Applications, 2016. Bean crop image dataset

Low Cost Low Altitude Remote Sensing Dataset with 40 images download

Other

COREL-1000 download
Nature Scenes (modified for class stratification): download
Remote Sensing Dataset with 12 images download. Used in Ponti, M. "Segmentation of low-cost remote sensing images combining vegetation indices and mean-shift". Geoscience and Remote Sensing Letters, v.10, 2013.

Virtual Machines

OVA for a Debian 7.6 (Wheezy) with Gnome: download (3.4G file). Prepared for Algorithms and Data Structures, Computer Programming, Object Oriented Programming and Digital Image Processing courses. Contains the following opensource softwares:

Programming: C/C++, Java (JDK7+source), Python3.2 (+numPy,sciPy), Octave, R;
Libraries: openCV (C++/Python), Signal and Image (Octave);
Editors: vim, geany, gedit;
Debug: gdb, valgrind;
Other: gnuplot, libreoffice, GIMP.