Trained Improved-YOLOv7 Models' Weights for weed detection
收藏DataCite Commons2026-03-31 更新2026-05-04 收录
下载链接：
https://data.mendeley.com/datasets/c7r4w7sttr/1
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资源简介：
best_yolov7.pt
This file contains the trained weights of the baseline YOLOv7 model for weed and cotton detection from UAV imagery, representing the best-performing checkpoint based on mAP@0.5 evaluation.
best_yolov7-cbam.pt
This file contains the trained weights of the YOLOv7-CBAM model, which integrates attention mechanisms to enhance feature representation for improved weed detection in UAV imagery.
best_yolov7-bifpn.pt
This file contains the trained weights of the YOLOv7-BiFPN model, which incorporates enhanced multi-scale feature fusion to improve detection across varying object sizes in agricultural scenes.
best_cb-yolov7.pt
This file contains the trained weights of the proposed CB-YOLOv7 model, combining CBAM and BiFPN to achieve improved and more balanced weed and cotton detection performance.
提供机构：
Mendeley Data
创建时间：
2026-03-31
