Models

YOLOv4 PyTorch vs. MobileNet SSD v2

Both

YOLOv4 PyTorch

and

MobileNet SSD v2

are commonly used in computer vision projects. Below, we compare and contrast

YOLOv4 PyTorch

and

MobileNet SSD v2

.

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 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 PyTorch MobileNet SSD v2
Date of Release Jan 13, 2018
Community Status
Model Type Object Detection Object Detection
Architecture YOLO
FPS
Framework Used PyTorch TensorFlow 1.5
Learn more about YOLOv4 PyTorchLearn more about MobileNet SSD v2

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