IEEE DataPort : SWD-Net: A Benchmark Dataset for Small Water Body Detection from High-Resolution Imagery - 2025
Download ReportIEEE DataPort : SWD-Net: A Benchmark Dataset for Small Water Body Detection from High-Resolution Imagery - 2025
by Di Liu, Chengbin Deng
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Publisher: IEEE DataPortPublication Date of the Electronic Edition: 12/09/2025
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ISBN: 10.21227/mr5b-5g74
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Description
Small and seasonal water bodies store a substantial portion of inland surface water and play a key role in local hydrology, ecosystem resilience, and agricultural sustainability. Yet their small size, irregular geometry, and frequent seasonal variability hinder accurate detection in global water products derived from coarse-resolution imagery. To address this limitation, we present SWD-Net, a high-resolution, expert-annotated benchmark dataset for small water-body detection from aerial and satellite imagery. SWD-Net consists of 10,085 image–mask pairs (1,024 × 1,024 pixels) sourced primarily from NAIP, Google Earth, and LoveDA, spanning diverse climatic and land-cover conditions.
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