首页|'Generating Domain Specific Language Expressions Based On Images' in Patent Appl ication Approval Process (USPTO 20240232532)
'Generating Domain Specific Language Expressions Based On Images' in Patent Appl ication Approval Process (USPTO 20240232532)
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The following quote was obtained by the news editors from the background informa tion supplied bythe inventors: “Identification of plant traits in digital image ry has numerous applications. One exampleapplication is detection, classificati on, and/or segmentation of unwanted and/or invasive plants, such asweeds. Anoth er example application is detection, classification, and/or segmentation of plan t disease. Yetanother example application is detection, classification, and/or segmentation of other types of plant traits,such as plant genus or species (eit her of which may fall under the definition of plant “type”), phenotypictraits ( e.g., gender, strain), and so forth. Various types of machine learning models ca n be trained tosegment and/or recognize various types of plant traits in digita l images. Convolutional neural networksare one popular example. However, the ac curacy of these machine learning models depends largely on theamount of trainin g data used to train them. Manually annotating training images on a pixel-wise b asisand/or using bounding shapes can be prohibitively costly. Moreover, images of plants having some traitsmay not be as widely available or easily acquired a s images of plants having other traits.”
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