YOLO v5, v7 and v8: A Performance Comparison for Tobacco Detection in Field
Author:
Affiliation:
1. National University of Science and Technology,College of EME,Islamabad,Pakistan
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10325562/10325690/10325705.pdf?arnumber=10325705
Reference16 articles.
1. You Only Look Once: Unified, Real-Time Object Detection
2. TobSet: A New Tobacco Crop and Weeds Image Dataset and Its Utilization for Vision-Based Spraying by Agricultural Robots
3. Vehicle Detection in Traffic Monitoring Scenes Based on Improved YOLOV5s
4. YOLO-Cigarette: An effective YOLO Network for outdoor smoking Real-time Object Detection
5. YOLOWeeds: A novel benchmark of YOLO object detectors for multi-class weed detection in cotton production systems
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