Models

MobileNet V2 Classification vs. YOLOv3 PyTorch

Both

MobileNet V2 Classification

and

YOLOv3 PyTorch

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

MobileNet V2 Classification

and

YOLOv3 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.

YOLOv3 PyTorch

Though it is no longer the most accurate object detection algorithm, YOLO v3 is still a very good choice when you need real-time detection while maintaining excellent accuracy. PyTorch version.

  MobileNet V2 Classification YOLOv3 PyTorch
Date of Release Apr 08, 2018
Community Status
Model Type Classification Object Detection
Architecture YOLO
FPS
Framework Used PyTorch
Learn more about MobileNet V2 ClassificationLearn more about YOLOv3 PyTorch

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