ORE evaluation

Engine optimized for tests with "random" pictures from Google(considering random background, orientation, scale, position) and gives following results in Select From scenario:
Classes Number of pictures tested Accuracy

Airplanes

1464 

97.68

Faces

218

98.17

Motobikes 399  99.00

 

Engine optimized for cases of "rotation" of image, tested with Caltech-101 image base. Below is comparison of accuracy with original testing set and same set rotated on 15 degrees. Classes Accuaracy with original Accuracy with rotated on 15 degrees Airplanes 98.50 99.75 Faces 98.17 95.41 Motobikes 99.0 85.21

Classes Accuaracy with original Accuracy with rotated on 15 degrees

Airplanes

98.50

99.75

Faces

98.17

95.41

Motobikes 99.0 85.21

 

Considerably improved results for SELECT ONE scenario. Tested with Caltech-101 image base and compared with publically available sources.
  Classes
Airplane Motorbike Face

TomskLabs

99.0

99.75

100

Csurka Gabriella

96.3

92.7

94

Josef Sivic2

97.5

96.5

99.54