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EfficientNet vs. Scaled-YOLOv4

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EfficientNet vs. Scaled-YOLOv4

Both

EfficientNet

and

Scaled YOLOv4

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

EfficientNet

and

Scaled YOLOv4

.

  EfficientNet Scaled YOLOv4
Date of Release May 28, 2019
Model Type Classification Object Detection
Architecture CNN
GitHub Stars 7200 2000

EfficientNet

EfficientNet is from a family of image classification models from GoogleAI that train comparatively quickly on small amounts of data, making the most of limited datasets.

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

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
Learn more about EfficientNet
Learn more about Scaled YOLOv4

Compare EfficientNet to other models

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

Compare Scaled YOLOv4 to other models

YOLOv8 Instance Segmentation
YOLOv8
YOLOv7 Instance Segmentation
OneFormer
MobileNet V2 Classification

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