Both MobileNet V2 Classification and YOLOv4 PyTorch are commonly used in computer vision projects. Below, we compare and contrast MobileNet V2 Classification and YOLOv4 PyTorch.
Models
MobileNet V2 Classification
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.
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.
