Performant barcode decoding for herbarium specimen images using vector‐assisted region proposals (VARP)
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DOI: 10.1002/aps3.11436
Abstract: Premise The scale and associated costs of herbarium digitization make process automation appealing. One such process for many workflows is the association of specimen image files with barcode values stored with the specimen. Here, an… read more here.
Keywords: decoding herbarium; specimen images; barcode; performant barcode ... See more keywords
Harnessing Large-Scale Herbarium Image Datasets Through Representation Learning
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DOI: 10.3389/fpls.2021.806407
Abstract: The mobilization of large-scale datasets of specimen images and metadata through herbarium digitization provide a rich environment for the application and development of machine learning techniques. However, limited access to computational resources and uneven progress… read more here.
Keywords: herbarium; representation learning; large scale; harnessing large ... See more keywords
Comprehensive leaf size traits dataset for seven plant species from digitised herbarium specimen images covering more than two centuries
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DOI: 10.3897/bdj.9.e69806
Abstract: Abstract Background Morphological leaf traits are frequently used to quantify, understand and predict plant and vegetation functional diversity and ecology, including environmental and climate change responses. Although morphological leaf traits are easy to measure, their… read more here.
Keywords: specimen images; herbarium specimen; trait; herbarium ... See more keywords