YOLO-SAM Fusion Model for Image-Based Agricultural Land Use Detection ...
| العنوان: | YOLO-SAM Fusion Model for Image-Based Agricultural Land Use Detection ... |
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| المؤلفون: | Kim, Solhee, Jeon, Jeongbae, Kim, Taegon |
| بيانات النشر: | Mendeley Data |
| سنة النشر: | 2024 |
| المجموعة: | DataCite Metadata Store (German National Library of Science and Technology) |
| مصطلحات موضوعية: | Big Data Analytics, Exploratory Spatial Data Analysis |
| الوصف: | This study aims to develop an innovative fusion model integrating You Only Look Once (YOLO) and Segmentation Anything Model (SAM) to improve the accuracy and efficiency of agricultural field detection and delineation from high-resolution drone imagery. ... |
| نوع الوثيقة: | dataset |
| اللغة: | unknown |
| Relation: | https://dx.doi.org/10.17632/znxyv9rtwp.1 |
| DOI: | 10.17632/znxyv9rtwp |
| الاتاحة: | https://dx.doi.org/10.17632/znxyv9rtwp https://data.mendeley.com/datasets/znxyv9rtwp |
| Rights: | Creative Commons Attribution 4.0 International ; info:eu-repo/semantics/openAccess ; https://creativecommons.org/licenses/by/4.0/legalcode ; cc-by-4.0 |
| رقم الانضمام: | edsbas.F35AC5C4 |
| قاعدة البيانات: | BASE |
| DOI: | 10.17632/znxyv9rtwp |
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