prediction_ex | R Documentation |
An example prediction data set formatted as a data.frame for use the 'assess_overlap_shiny' function. These data represent the model predictions for a single image and a single class (penguin). The data.frame faithfully represents the original VIAME output file and has headers defined follows:
prediction_ex
A data frame with 11 columns and 75 rows
DETECTION_ID. Unique identifier for each annotation
PIC_NAME. The file name of the image used for annotation
IMAGE. A numeric index identifying the image
TLX. Top left X coordinate of bounding box
TLY. Top left Y coordinate of bounding box
BRX. Bottom right X coordinate of bounding box
BRY. Bottom right Y coordinate of bounding box
CONF. Confidence level of truth annotation. This is 1 by default, since it represents a true observation.
TARGET. ????
CLASS. The class identifier for the object to be detected.
CONF_2. A repeat of the confidence level of the annotation.
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