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“…To train the object detector, 300 image frames from recorded meal videos of each participant were randomly selected, which provided a total of 8400 training images. In order to label the training image, ImageLabeler API [ 34 ] was used on the image set and a human rater manually marked the boundary (the bounding box) of the face as the object to be identified. Fig.…”
Section: Methodsmentioning
confidence: 99%
“…To train the object detector, 300 image frames from recorded meal videos of each participant were randomly selected, which provided a total of 8400 training images. In order to label the training image, ImageLabeler API [ 34 ] was used on the image set and a human rater manually marked the boundary (the bounding box) of the face as the object to be identified. Fig.…”
Section: Methodsmentioning
confidence: 99%