EfficientNet vs. YOLOv5: Compared and Contrasted

Models

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

YOLOv5

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

Learn more about YOLOv5

Model Type

Classification

Object Detection

Model Features

Item 1 Info

Item 2 Info

Architecture

CNN

CNN, YOLO

Frameworks

Keras

PyTorch

Annotation Format

Instance Segmentation

GitHub

View Repo

GitHub Stars

46k+

License

AGPL-3.0

Paper

Training Notebook

Deploy Model

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EfficientNet vs. YOLOv5

Both

EfficientNet

and

YOLOv5

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

EfficientNet

and

YOLOv5

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

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