Annotated Chemical Apparatus Image Dataset

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.