UAVid is a high-resolution UAV semantic segmentation dataset as a complement, which brings new challenges, including large scale variation, moving object recognition and temporal consistency preservation. The UAV dataset consists of 30 video sequences capturing 4K high-resolution images in slanted views. In total, 300 images have been densely labeled with 8 classes for the semantic labeling task.
Source: UAVid: A Semantic Segmentation Dataset for UAV ImageryBenchmarks
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UAVid
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LSKNet-S
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UAVid
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UNetFormer
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Papers
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