Both YOLOv4 PyTorch and MobileNet V2 Classification are commonly used in computer vision projects. Below, we compare and contrast YOLOv4 PyTorch and MobileNet V2 Classification.
Models
YOLOv4 PyTorch
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.
MobileNet is a GoogleAI model well-suited for on-device, real-time classification (distinct from MobileNetSSD, Single Shot Detector). This implementation leverages transfer learning from ImageNet to your dataset.
