ZuBuD+, created in February 2017 by Federico Magliani (University of Parma), introduces many query images balancing the class evaluated from the previous dataset (ZuBuD). Now the test set is composed by 1005 images of 320240 pixels and all the classes are represented in the ground truth 5 times. The new images are obtained from the training images, choosing randomly an image from the five of every class, and then they are transformed using resize or rotation (90) and resize. For any information please see: And for the direct download please visit:

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