CURE-OR-Sampled: Challenging Unreal and Real Environments for Object Recognition

<strong>File descriptions</strong> <strong>train.zip </strong>- the training set <strong>test.zip </strong>- the test set <strong>train.csv</strong> - the ground truth for the training images with the following information: <em>imageID, class, background, perspective, challengeType, challengeLevel</em> <strong>sample_submission.csv</strong> - a sample submission file in the correct format with column headers of <em>imageID </em>and <em>class</em> <strong>Data fields</strong> <strong>imageID </strong>- an anonymous id unique to a given image <strong>class </strong>- 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 <strong>background </strong>- the background of the object 1: 2D white 2: 2D living room 3: 2D kitchen <strong>perspective </strong>- the perspective/orientation of the object 1: Front 2: Left side - 90 degrees 3: Back - 180 degrees 4: Right side - 270 degrees 5: Top <strong>challengeType </strong>- 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 &amp; 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 &amp; pepper noise <strong>challengeLevel </strong>- 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.