mini CURE-OR

File descriptions

train.zip - the training set

test.zip - the test set

train.csv - the ground truth for the training images with the following information: imageID, class, background, perspective, challengeType, challengeLevel

test.csv - the ground truth for the training images with the following information: imageID, class, background, perspective, challengeType, challengeLevel

Data fields

imageID - an anonymous id unique to a given image

class - the class of the object in the given image: 1-10

1: Canon camera

2: Training marker cone

3: Baseball

4: Pan

5: Toy

6: LG Cell phone

7: Hair brush

8: DYMO Label maker

9: Calcium bottle

10: Shoes

background - the background of the object

1: 2D white

2: 2D living room

3: 2D kitchen

perspective - the perspective/orientation of the object

1: Front

2: Left side - 90 degrees

3: Back - 180 degrees

4: Right side - 270 degrees

5: Top

challengeType - the type of generated challenging conditions

01: No challenge

02: Resize

03: Underexposure

04: Overexposure

05: Gaussian blur

06: Contrast

07: Dirty lens 1

08: Dirty lens 2

09: Salt & pepper noise

10: Grayscale

11: Grayscale resize

12: Grayscale underexposure

13: Grayscale overexposure

14: Grayscale gaussian blur

15: Grayscale contrast

16: Grayscale dirty lens 1

17: Grayscale dirty lens 2

18: Grayscale salt & pepper noise

challengeLevel - the level of generated challenging conditions

0: No challenge (01) and Grayscale (10) only - no challenge level

1 - 4: the degree of a challenge from least to most

For more information about CURE-OR dataset, please refer to the webpage.