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Using the YOLOv3 algorithm with preand post-processing procedures for fruit detection by an apple-picking robot

Published in № 4(88) 01 september 2020 year
Rubric: Algorithmic efficiency
Authors: Kuznetsova A. A., Maleva T. V., Soloviev V. I.

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machine vision, apple harvesting robot, YOLO, image processing, effective algorithms

The author:

Kuznetsova A. A.

Degree:

Manager, Department of Data Analysis and Machine Learning, Financial University under the Government of the Russian Federation

Location:

Moscow, Russia

All articles:

Using the YOLOv3 algorithm with preand post-processing procedures for fruit detection by an apple-picking robot

Statistical Precision – Recall curves for object detection quality assessment

The author:

Maleva T. V.

Degree:

Cand. Sci. (Phys.-Math.), Associate Professor, Department of Data Analysis and Machine Learning, Financial University under the Government of the Russian Federation

Location:

Moscow, Russia

All articles:

Using the YOLOv3 algorithm with preand post-processing procedures for fruit detection by an apple-picking robot

The author:

Soloviev V. I.

Degree:

Dr. Sci. (Econ.), Professor, CEO, CIARS Llc; Chair of Applied Artificial Intelligence Department, Moscow Technical University of Communications and Informatics