YOLOv4 PyTorch vs. MobileNet V2 Classification: Compared and Contrasted

Models



YOLOv4 PyTorch vs. MobileNet V2 Classification

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

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 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.