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What is YOLO

Artificial Intelligence Applications in Agriculture and Food Quality Improvement
YOLO (you only look once) is a computer vision-based deep learning algorithm used for object detection.
Published in Chapter:
Freshness Grading of Agricultural Products Using Artificial Intelligence
Zeynep Elbir (Marmara University, Turkey), Berat Asrin Caferoglu (Marmara University, Turkey), and Onur Cihan (Marmara University, Turkey)
DOI: 10.4018/978-1-6684-5141-0.ch003
Abstract
This chapter presents a deep learning model that can be used to determine the levels of freshness of three agricultural products: strawberries, lemons, and tomatoes. For this purpose, YOLO, a state-of-the-art object detection algorithm is utilized. The data for training, validation, and testing are collected from online sources, and by applying image augmentation techniques, a sufficient number of images are obtained. Test results show that the model is performing quite well, and the speed of the model is fast. These results are promising and can be utilized to reduce a significant amount of agricultural waste and increase customer satisfaction once it is utilized by online groceries.
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Design of a Real-Time-Integrated System Based on Stereovision and YOLOv5 to Detect Objects
This stands for You Only Look Once, which is a recent algorithm used to detect objects in different contexts and for different applications such as autonomous vehicles.
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Monitoring Social Distancing With Real-Time Detection and Tracking
A real-time object detection system that can directly train on complete images to achieve the best detection performance.
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