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YOLOv5 vs. EfficientNet

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YOLOv5 vs. EfficientNet

Both

YOLOv5

and

EfficientNet

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

YOLOv5

and

EfficientNet

.

  YOLOv5 EfficientNet
Date of Release Jan 06, 2020 May 28, 2019
Model Type Object Detection Classification
Architecture CNN, YOLO CNN
GitHub Stars 33200 7200

YOLOv5

A very fast and easy to use PyTorch model that achieves state of the art (or near state of the art) results.

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

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
Learn more about YOLOv5
Learn more about EfficientNet

Compare YOLOv5 to other models

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

Compare EfficientNet to other models

YOLOv8 Instance Segmentation
YOLOv8
YOLOv7 Instance Segmentation
OneFormer
MobileNet V2 Classification

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