Scaled-YOLOv4 vs. YOLOv3 PyTorch: Compared and Contrasted

Models

Scaled YOLOv4

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

YOLOv3 PyTorch

Though it is no longer the most accurate object detection algorithm, YOLO v3 is still a very good choice when you need real-time detection while maintaining excellent accuracy. PyTorch version.

Learn more about YOLOv3 PyTorch

Model Type

Object Detection

Model Features

Item 1 Info

Item 2 Info

Architecture

YOLO

Frameworks

PyTorch

Annotation Format

Instance Segmentation

GitHub

View Repo

GitHub Stars

2k+

7.2k+

License

GPL-3.0

Paper

Training Notebook

Deploy Model

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Scaled-YOLOv4 vs. YOLOv3 PyTorch

Both

Scaled YOLOv4

and

YOLOv3 PyTorch

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

Scaled YOLOv4

and

YOLOv3 PyTorch

	Scaled YOLOv4	YOLOv3 PyTorch
Date of Release		Apr 08, 2018
Model Type	Object Detection	Object Detection
Architecture	YOLO	YOLO
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

YOLOv3 PyTorch

Though it is no longer the most accurate object detection algorithm, YOLO v3 is still a very good choice when you need real-time detection while maintaining excellent accuracy. PyTorch version.

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 YOLOv3 PyTorch