Right now we use YoloV4 tensorflow implementation trained on COCO dataset to detect dogs and cats. Corresponding bounding boxes are extracted.
The average precision (AP) of the dog detection is 91.96%
We assess the average precision on the Stanford Dogs dataset (with mixed-in cats from CatsVsDogs dataset to harden detection)
todo