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A private repo to test different segmentation architectures on Inria aerial images dataset

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margokhokhlova/aerial_segmentation

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aerial_segmentation

Semantic binary segmentation of the aerial images on Inria dataset. I obtained the best accuracy on the test set with the Resnetxt50-Unet model. Here are the score specifications (as evaluated by the competition launcher):

                     IoU                     Acc.

bellingham | 0.705244658628 | 0.967294883333

bloomington | 0.661219544124 | 0.964045216667

innsbruck | 0.705316948749 | 0.960757862222

sfo | 0.741421801289 | 0.907259936667

tyrol-e | 0.75462637417 | 0.975925242222

Overall | 0.721548268122 | 0.955056628222

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A private repo to test different segmentation architectures on Inria aerial images dataset

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