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Open Source Software Tools for Detecting Wood Defects Using Computer Vision

Year: 2025

Type: conference-paper

Abstract: This article examines the experience of creating a dataset for assigning grades to round coniferous timber using the YOLO (You Only Look Once) neural network, designed to work with objects in images. We will use Label Studio to mark up named entities. These libraries and tools use the Python programming language version 3.7.

DOI: 10.58168/mist2025_469-474

Authors: G. Yanchurkina, E. Anikeev

Institution: Voronezh State University of Forestry and Technologies

Language: English

Topic: Industrial Vision Systems and Defect Detection

Subfield: Industrial and Manufacturing Engineering

Field: Engineering

Domain: Physical Sciences

Open Access status: gold

OpenAlex ID: W4412723001

FWCI:

Cites: 7

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Related to: 10