Annotated Chemical Apparatus Image Dataset
Published: 15 December 2023| Version 1 | DOI: 10.17632/8p2hvgdvpn.1
Contributors:
, , Description
This dataset consists of 5078 annotated images of chemical apparatuses. These images were obtained by extracting diverse frames from videos of chemical experiments recorded using a smartphone. Annotations cover six experimental apparatuses and the experimenter's hands. The dataset is divided into three se ts: training, validation, and test, each with accompanying annotation texts in YOLO (You Only Look Once) format.
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Institutions
Waseda Daigaku - Nishiwaseda Campus
Categories
Chemistry, Object Detection, Image Classification
Funding
Ministry of Education, Culture, Sports, Science and Technology
Grant-in-Aid for Transformative Research Areas (A), JP22H05380