MQTT	message queuing telemetry transport
IoT	internet of things
IOU	Intersection Over Union
YOLO	You Look Only Once
Bx, By	center coordinates obtained bounding box
Ba, Bb	size of the obtained bounding box
C	class probability
$C_i$	true confidence
${\widehat{C}}_i$	predicted confidence
N	number of bounding boxes
$P_i$	confidence scores
Pa, Pb	the width and height of the bounding box before prediction
Pr	prediction probability
(S x S)	number of cells of an image
S2	number of grids in the input image
Ox, Oy	the offset of the cell
${𝕝}_{ij}^{obj}$, ${𝕝}_{ij}^{noobj}$	the existence or non-existence of objects
${\sigma }_{coord}$	coordinate error weight
${\sigma }_{noobj}$	IoU error weight
a, b	box dimensions
${\widehat{a}}_i, {\widehat{b}}_i$	the width and height of the predicted bounding box
c	the specified class related to the detected object
(tx, ty, ta, tb)	coordinate prediction of bounding boxes
$p$	true probability of object belonging to class c is in grid i
$\widehat{p}$	predicted probability value
(x, y)	center of the box
${\widehat{x}}_i, {\widehat{y}}_i$	the coordinate position of the predicted bounding box