Both MobileNet SSD v2 and YOLOv4 PyTorch are commonly used in computer vision projects. Below, we compare and contrast MobileNet SSD v2 and YOLOv4 PyTorch.
Models
MobileNet SSD v2
This architecture provides good realtime results on limited compute. It's designed to run in realtime (30 frames per second) even on mobile devices.
YOLOv4 has emerged as the best real time object detection model. YOLOv4 carries forward many of the research contributions of the YOLO family of models along with new modeling and data augmentation techniques. This implementation is in PyTorch.
