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Inria Aerial Image Labeling Dataset Remote Sensing Image Dataset
Inria Aerial Image Labeling Dataset is a remote sensing image dataset for urban building detection. Its labels are divided into buildings and non-buildings, mainly used for semantic segmentation.
This dataset was released by Inria in 2017, and the related paper is "Can Semantic Labeling Methods Generalize to Any City? The Inria Aerial Image Labeling Benchmark".
Inria_Aerial_Image_Labeling_Dataset.torrent
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- Inria_Aerial_Image_Labeling_Dataset/
- README.md966 字节
- README.txt1.89 KB
- data/
- AerialImageDataset/
- test/
- images/
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- train/
- gt/
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- images/
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- austin6.tif15.03 GB
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- chicago1.tif15.31 GB
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- chicago11.tif15.45 GB
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- vienna7.tif25.17 GB
- vienna8.tif25.24 GB
- vienna9.tif25.31 GB
- NEW2-AerialImageDataset.zip44.83 GB
- aerialimagelabeling.7z.00148.83 GB
- aerialimagelabeling.7z.00252.83 GB
- aerialimagelabeling.7z.00356.83 GB
- aerialimagelabeling.7z.00460.83 GB
- aerialimagelabeling.7z.00564.34 GB
- kit1-300x300.jpg64.34 GB
- samples_0.jpg64.34 GB
- samples_1.jpg64.34 GB
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