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Images for Inland navigation and vessel optimal path planning
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Otis, Martin J.-D.; Deshmukh, Yashwardhan — 2024-04-22 Laboratoire d'Automatique et de Robotique interactive, Université du Québec à Chicoutimi, Québec, Canada LAR.i - UQAC, 02 Feb. 2024 <br> 855 satellite images and their ground truth masks. The original satellite images could be accessed by email. <br> Manual acquisition of 60 unlabelled aerial satellite images with varying dimensions (area ranging from 500 meters to 5 kilometers) from Google Maps. A manual segmentation is executed into three labels: water, land, and obstacle. <br> Parametric augmentation pipeline:<br> -random cropping, <br> -horizontal and vertical flipping, <br> -rotation, <br> -brightness and contrast, <br> -Contrast Limited Adaptive Histogram Equalization (CLAHE) and <br> -Grid Distortion, or Optical Distortion.

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(Source Repository: Dataverse de l'Université du Québec à Chicoutimi) AND (Author: Deshmukh, Yashwardhan)

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