Scaled-YOLOv4 vs. EfficientNet: Compared and Contrasted

Models

Scaled YOLOv4

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

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

YOLO

CNN

Frameworks

PyTorch

Keras

Annotation Format

Instance Segmentation

GitHub

View Repo

GitHub Stars

2k+

License

GPL-3.0

Paper

Training Notebook

Deploy Model



Scaled-YOLOv4 vs. EfficientNet

Both

Scaled YOLOv4

and

EfficientNet

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

Scaled YOLOv4

and

EfficientNet

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

Scaled YOLOv4

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

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 Scaled YOLOv4

Learn more about EfficientNet