HAIR - Historic Aerial Images of Riverscapes
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About
HAIR is a dataset specifically designed for enabling semantic segmentation of historic aerial images of riverscapes. It aims to analyze the evolution of rivers over time by utilizing greyscale aerial images captured over nearly a century, despite advancements in camera technology that complicate the segmentation process. The dataset is available under the Creative Commons CC-BY-SA 4.0 license, and includes benchmark code on the project's GitHub page, aiming to improve techniques in semantic segmentation and contribute to the understanding of changes in river landscapes. The team behind this initiative includes experts from various institutions such as NTNU and the Norwegian Environmental Agency.
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Task
Features
• dataset of historic aerial images
• semantic segmentation capabilities
• benchmark code available on github
• creative commons cc-by-sa 4.0 license
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