Hi all. I am building a traffic counter and it requires detecting vehicles and people (drawing bounding box around them). So far I am using Yolov3 and getting above 90% accuracy for less congested areas and close to 90% accuracy even in highly congested urban areas. I was wondering if there is even a more accurate publicly available neural network? I know about Faster RCNN but so far, from what I have read, the most accurate neural network (as well as being fast) is Yolov3. Any suggestions will be appreciated. Thanks!