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MobileNet V2 Classification vs. YOLOv4 Tiny

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MobileNet V2 Classification vs. YOLOv4 Tiny

Both

MobileNet V2 Classification

and

YOLOv4 Tiny

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

MobileNet V2 Classification

and

YOLOv4 Tiny

.

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 Tiny

The tiny and fast version of YOLOv4 - good for training and deployment on limited compute resources, and getting a feel for your dataset

  MobileNet V2 Classification YOLOv4 Tiny
Date of Release Nov 09, 2020
Community Status
Model Type Classification Object Detection
Architecture ResNet-D, YOLO
FPS 34
Framework Used Darknet
Learn more about MobileNet V2 ClassificationLearn more about YOLOv4 Tiny

Compare MobileNet V2 Classification to other models

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YOLOv4 Tiny

Compare YOLOv4 Tiny to other models

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MobileNet V2 Classification

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