相关数据集
Multi-modal Weeds in Wheat Field Dataset
weeThis dataset contains two modes: RGB image and DEPTH image. LabelIMG annotation was used and the data set format was VOC2007. When you use this data set, please refer to the article 'Multi-modal de
NIAID Data Ecosystem90
Test dataset for weed detection in lettuce farms
Results of weed recognition tests utilizing R-CNN or DETR models, followed by post-analysis with Segment Anything.
Zenodo2025-06-08 更新30
Data for: Improved Weed Segmentation in UAV Imagery of Sorghum Fields with a Combined Deblurring Segmentation Model
In this study we propose a new deep-learning based combined deblurring and segmentation model called "DeBlurWeedSeg" to detect weeds in sharp as well as in motion blurred drone images. Therefore we ge
NIAID Data Ecosystem40
Trained Improved-YOLOv7 Models' Weights for weed detection
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 evaluati
DataCite Commons2026-03-31 更新20
