دسته بندی:

بینایی ماشین - Machine vision

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سال انتشار:

2022

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عنوان انگلیسی مقاله:

Computer vision for assessing species color pattern variation from web-based community science images

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ترجمه فارسی عنوان مقاله:

بینایی کامپیوتری برای ارزیابی تنوع الگوی رنگ گونه ها از تصاویر علم جامعه مبتنی بر وب

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منبع:

ScienceDirect- Elsevier- ISCIENCE, 25 (2022) 104784: doi:10:1016/j:isci:2022:104784

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نویسنده:

Maggie M. Hantak

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چکیده انگلیسی:

Openly available community science digital vouchers provide a wealth of data to study phenotypic change across space and time. However, extracting phenotypic data from these resources requires significant human effort. Here, we demonstrate a workflow and computer vision model for automatically categorizing species color pattern from community science images. Our work is focused on documenting the striped/unstriped color polymorphism in the Eastern Red-backed Salamander (Plethodon cinereus). We used an ensemble convolutional neural network model to analyze this polymorphism in 20,318 iNaturalist images. Our model was highly accurate (∼98%) despite image heterogeneity. We used the resulting annotations to document extensive niche overlap between morphs, but wider niche breadth for striped morphs at the range-wide scale. Our work showcases key design principles for using machine learning with heterogeneous community science image data to address questions at an unprecedented scale.
keywords: Computer science | Ecology | Evolutionary biology

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قیمت: رایگان

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توضیحات اضافی:

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