Comparison and Analysis of YOLOv5 and YOLOv4-Tiny in Fruit Sample Detection
Author:
Affiliation:
1. School of EECE, Mapua University,Manila,Philippines
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10588998/10589001/10589027.pdf?arnumber=10589027
Reference15 articles.
1. Detection and Classification of Defective Fresh Excelsa Beans Using Mask R-CNN Algorithm
2. Development of an Abaca Fiber Automated Grading System Using Computer Vision and Deep Convolutional Neural Network
3. Tongue Biometrics Extraction Based on YOLO Algorithm and CNN Inception
4. Raspberry PI based Food Recognition for Visually Impaired using YOLO Algorithm
5. A YOLO-Based Approach for Aedes Aegypti Larvae Classification and Detection
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