EfficientNet vs. Scaled-YOLOv4: 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

Scaled YOLOv4

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

Learn more about Scaled YOLOv4

Model Type

Classification

Object Detection

Model Features

Item 1 Info

Item 2 Info

Architecture

CNN

YOLO

Frameworks

Keras

PyTorch

Annotation Format

Instance Segmentation

GitHub

View Repo

GitHub Stars

2k+

License

GPL-3.0

Paper

Training Notebook

Deploy Model

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