YOLOv5 vs. Scaled-YOLOv4

Both YOLOv5 and Scaled YOLOv4 are commonly used in computer vision projects. Below, we compare and contrast YOLOv5 and Scaled YOLOv4.

Models

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

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

--

Object Detection

--

Model Features

Item 1 Info

Item 2 Info

Architecture

CNN, YOLO

--

YOLO

--

Frameworks

PyTorch

--

PyTorch

--

Annotation Format

Instance Segmentation

Instance Segmentation

GitHub

--

--

GitHub Stars

46k+

--

2k+

--

License

AGPL-3.0

--

GPL-3.0

--

Paper

--

--

Training Notebook

--

--

Deploy Model

--

Deploy with Roboflow

--

Deploy with Roboflow

Compare YOLOv5 and Scaled YOLOv4 with Autodistill



YOLOv5 vs. Scaled-YOLOv4

YOLOv5 vs. Scaled-YOLOv4

.

Both

YOLOv5

and

Scaled YOLOv4

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

YOLOv5

and

Scaled YOLOv4

	YOLOv5	Scaled YOLOv4
Date of Release	Jan 06, 2020
Model Type	Object Detection	Object Detection
Architecture	CNN, YOLO	YOLO
GitHub Stars	33200	2000

YOLOv5

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

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

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

Learn more about YOLOv5

Learn more about Scaled YOLOv4

Compare YOLOv5 to other models

MobileNet V2 Classification

MobileNet SSD v2

Compare Scaled YOLOv4 to other models

YOLOv8 Instance Segmentation

YOLOv7 Instance Segmentation

Deploy a computer vision model today

Join 250,000 developers curating high quality datasets and deploying better models with Roboflow.