UV6K is a high-resolution remote sensing urban vehicle segmentation dataset. Images: 6,313 Vehicle: 245,141 Resolution: 0.1m Image Size: 1024x1024
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…For each image in the test set, you must segment the regions of each cloud formation label. Each image has at least one cloud formation, and can possibly contain up to all all four. The segment for each cloud formation label for an image is encoded into a single row, even if there are several non-contiguous areas of the same formation in an image. Files train.csv - the run length encoded segmentations for each image-label pair in the train_images train_images.zip - folder of training images test_images.zip - folder of test images; your task is to predict the segmentations masks of each of the 4 cloud types (labels) for each image.
2 PAPERS • 1 BENCHMARK