  Stifle joint issues are a major cause of lameness in dogs and it can be a
significant marker for various forms of diseases or injuries. A known Tibial
Plateau Angle (TPA) helps in the reduction of the diagnosis time of the cause.
With the state of the art object detection algorithm YOLO, and its variants,
this paper delves into identifying joints, their centroids and other regions of
interest to draw multiple line axes and finally calculating the TPA. The
methods investigated predicts successfully the TPA within the normal range for
80 percent of the images.
