基于一种改进YOLOv7算法模型的滑坡识别研究——以四川省白格地区为例

刘浩然, 严天笑, 朱月琴, 王艳萍, 陈祖谊, 杨昭颖, 朱浩濛

Landslide identification based on an improved YOLOv7 model: A case study of the Baige area

LIU Haoran, YAN Tianxiao, ZHU Yueqin, WANG Yanping, CHEN Zuyi, YANG Zhaoying, ZHU Haomeng

表2 不同算法对比

Tab.2 Comparison of different algorithms

算法模型 mAP@0.5/% 参数量/MB GFLOPs/GB Mask R-CNN 75.4 45.8 66.55 YOLOv5L-seg 75.9 46.56 109.60 Faster-RCNN 70.6 41.00 241.40 YOLACT 68.7 47.70 126.80 YOLOv7-seg 79.8 38.27 143.20 本文算法 83.5 37.89 141.50