YOLOv5 vs. EfficientNet: Compared and Contrasted

Models

YOLOv5

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

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.

Learn more about EfficientNet

Model Type

Object Detection

Classification

Model Features

Item 1 Info

Item 2 Info

Architecture

CNN, YOLO

CNN

Frameworks

PyTorch

Keras

Annotation Format

Instance Segmentation

GitHub

View Repo

GitHub Stars

46k+

License

AGPL-3.0

Paper

Training Notebook

Deploy Model

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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 Augment How to Label How to Plot Predictions How to Filter Predictions How 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 Augment How to Label How to Plot Predictions How to Filter Predictions How to Create a Confusion Matrix

Learn more about YOLOv5

Learn more about EfficientNet