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Scaled-YOLOv4 vs. MobileNet V2 Classification

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Scaled-YOLOv4 vs. MobileNet V2 Classification

Both

Scaled YOLOv4

and

MobileNet V2 Classification

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

Scaled YOLOv4

and

MobileNet V2 Classification

.

  Scaled YOLOv4 MobileNet V2 Classification
Date of Release
Model Type Object Detection Classification
Architecture
GitHub Stars 2000

Scaled YOLOv4

Scaled YOLOv4 is an extension of the YOLOv4 research implemented in the YOLOv5 PyTorch framework.

How to AugmentHow to LabelHow to Plot PredictionsHow to Filter PredictionsHow to Create a Confusion Matrix

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.

How to AugmentHow to LabelHow to Plot PredictionsHow to Filter PredictionsHow to Create a Confusion Matrix
Learn more about Scaled YOLOv4
Learn more about MobileNet V2 Classification

Compare Scaled YOLOv4 to other models

MobileNet V2 Classification
MobileNet SSD v2
YOLOv3 Keras
YOLOv3 PyTorch
YOLOv4 PyTorch

Compare MobileNet V2 Classification to other models

YOLOv8 Instance Segmentation
YOLOv8
YOLOv7 Instance Segmentation
OneFormer
YOLOv3 Keras

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