First Name
Abigail
Last Name
Stone
Dataset Entries from this Author
Dietary intake influences disease risk and coresponding economic and healthcare burdens worldwide. In recent years, a variety of tools have emerged for assessing dietary intake, for both clinical use in the healthcare sector and for consumer mobile apps used as part of weight-loss or recovery programs. Deep learning has the ability to greatly reduce this cognitive burden by measuring the volume of foods in a single picture, improving both accuraacy and ease of use of these tools.
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Hyperspectral images are represented by numerous
narrow wavelength bands in the visible and near-infrared parts
of the electromagnetic spectrum. As hyperspectral imagery gains
traction for general computer vision tasks, there is an increased
need for large and comprehensive datasets for use as training
data.
Recent advancements in sensor technology allow us to capture
hyperspectral data cubes at higher spatial and temporal reso-
lution. However, there are few publicly available multi-purpose
hyperspectral datasets captured in outdoor terrestrial conditions.
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