Deep learning model optimization methods and performance evaluation of YOLOv8 for enhanced weed detection in soybeans

YOLOv4: Optimal Speed and Accuracy of Object Detection

Alexey Bochkovskiy, Chien-Yao Wang, Hong-Yuan Mark Liao · arXiv (Cornell University) · 2020 · 10.4K citations · Full text

Computing, Computer Science, Artificial Intelligence +16

YOLOv6: A Single-Stage Object Detection Framework for Industrial Applications

Chuyi Li, Lulu Li, Hongliang Jiang et al. · arXiv (Cornell University) · 2022 · 1.8K citations · Full text

Computing, Computer Engineering, Computer Science +12

Object detection using YOLO: challenges, architectural successors, datasets and applications

Tausif Diwan, G. Anirudh, Jitendra V. Tembhurne · Multimedia Tools and Applications · 2022 · 1.4K citations · Full text

Computing, Computer Science, Computer Systems +11

Real-Time Flying Object Detection with YOLOv8

Dillon Reis, Jordan Kupec, Jacqueline Hong et al. · arXiv (Cornell University) · 2023 · 342 citations · Full text

Computing, Computer Science, Computer Vision +11

YOLOWeeds: A novel benchmark of YOLO object detectors for multi-class weed detection in cotton production systems

Fengying Dang, Dong Chen, Yuzhen Lu et al. · Computers and Electronics in Agriculture · 2023 · 277 citations

Computing, Agricultural Engineering, Computer Science +15