Optimizing Object Detection in YOLOv5 using Adaptive Genetic Algorithm: A Study on Population Sizes for Enhanced Accuracy
Author:
Affiliation:
1. National Institute of Technology,Department of Information Technology,Surathkal,Karnataka,India
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10511271/10511093/10512119.pdf?arnumber=10512119
Reference14 articles.
1. ultralytics/yolov5: v7.0 - YOLOv5 SOTA Realtime Instance Segmentation;Jocher,2022
2. Recognition and Detection of Greenhouse Tomatoes in Complex Environment
3. Detection of Cherry Quality Using YOLOV5 Model Based on Flood Filling Algorithm
4. Ablation studies on YOLOFruit detection algorithm for fruit harvesting robot using deep learning
5. Green Citrus Detection and Counting in Orchards Based on YOLOv5-CS and AI Edge System
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