New EO datasets #10
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New EO datasets #10
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5987 images of size 1024x1024 pixels with 0.03m resolution. The Remote Sensing Land-Cover dataset for Domain Adaptive Semantic Segmentation (LoveDA) was constructed using images obtained from Nanjing, Changzhou and Wuhan. Images come from Google Earth and were collected in 2016.
38 images of size 6000x6000 pixels with resolution of 0.05m. The dataset was created to provide a benchmark for urban semantic segmentation. Each patch contains a true ortophoto and a DSM. Images were acquired over Potsdam in Germany using photogrammetric digital airborne camera systems and Airborne Laser Scanning (lidar).
The aerial WHU building dataset is a building extraction dataset providing high-quality labels for 8188 images.
The Aeroscapes dataset was designed to enhance semantic understanding of urban scenes. The dataset comprises 3269 images acquired from 141 video sequences. The images have a size 1280x720 pixels and are in png format.
The WHU-Mix dataset is a diverse, large-scale, and high-quality dataset that aims to better simulate the situation of practical building extraction. It contains 51445 images.
Changed the notebook name to match the id
simidjievskin
approved these changes
May 27, 2024
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WHUAerial, Potsdam, LoveDA, Aeroscapes and WHUMix.