Trained YOLOv7 Models' Weights for weed detection

best_yolov7.pt
This file contains the trained weights of the YOLOv7 base model for weed and cotton detection using UAV imagery. The model was trained on annotated agricultural field images to classify and localize cotton plants and weeds with high precision. This checkpoint represents the best-performing epoch based on mAP@0.5 evaluation.

best_yolov7w6.pt
This is the trained weight file of the YOLOv7-w6 variant, a larger and deeper model architecture optimized for higher capacity and better generalization in complex agricultural environments. The model was trained on the same UAV dataset and achieved competitive performance.

best_yolov7x.pt
This .pt file contains the trained weights for the YOLOv7-x variant, the most advanced version used in this study. It was trained on UAV-captured agricultural imagery for cotton and weed detection, and it showed the highest overall precision among the tested variants. This model is suitable for tasks requiring enhanced accuracy and robustness.