YOLO-SAM Fusion Model for Image-Based Agricultural Land Use Detection
收藏NIAID Data Ecosystem2026-05-02 收录
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https://data.mendeley.com/datasets/znxyv9rtwp
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资源简介:
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.
创建时间:
2024-12-03



