化学実験画像データセットの作成と物体検出の数値検証

In recent years, the remarkable advances in artificial intelligence technology have led to digital transformation (DX) in various fields. The automated construction of laboratory notebook through filming experiments is a promising application of image recognition for chemistry． In this study, we cre...

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Bibliographic Details
Published inJournal of Computer Chemistry, Japan Vol. 21; no. 2; pp. 58 - 60
Main Authors 佐々木, 良輔, 藤波, 美起登, 中井, 浩巳
Format Journal Article
LanguageJapanese
Published 日本コンピュータ化学会 2022
Subjects
Chemical experiment
Laboratory notebook
Machine learning
Multiple object tracking
Object detection
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ISSN1347-1767
1347-3824
DOI10.2477/jccj.2022-0025

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Summary:In recent years, the remarkable advances in artificial intelligence technology have led to digital transformation (DX) in various fields. The automated construction of laboratory notebook through filming experiments is a promising application of image recognition for chemistry． In this study, we created an image dataset of chemical experiment, which contains 2376 images and consists of 7 classes of objects. Object detection methods and a multiple object tracking method were implemented and assessed using the dataset toward to develop automated laboratory notebook system.
ISSN:1347-1767
1347-3824
DOI:10.2477/jccj.2022-0025