YOLOv3 PyTorch vs. Scaled-YOLOv4: Compared and Contrasted

Models

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

Scaled YOLOv4

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

Learn more about Scaled YOLOv4

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

7.2k+

2k+

License

GPL-3.0

Paper

Training Notebook

Deploy Model

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YOLOv3 PyTorch vs. Scaled-YOLOv4

Both

YOLOv3 PyTorch

and

Scaled YOLOv4

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

YOLOv3 PyTorch

and

Scaled YOLOv4

	YOLOv3 PyTorch	Scaled YOLOv4
Date of Release	Apr 08, 2018
Model Type	Object Detection	Object Detection
Architecture	YOLO	YOLO
GitHub Stars	7200	2000

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