Resnet-32 vs. Scaled-YOLOv4

Both ResNet 32 and Scaled YOLOv4 are commonly used in computer vision projects. Below, we compare and contrast ResNet 32 and Scaled YOLOv4.

Models

ResNet 32

A fast, simple convolutional neural network that gets the job done for many tasks, including classification.

Learn more about ResNet 32

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

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Object Detection

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Model Features

Item 1 Info

Item 2 Info

Architecture

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YOLO

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Frameworks

Fast.ai v2

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PyTorch

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Annotation Format

Instance Segmentation

Instance Segmentation

GitHub

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GitHub Stars

32+

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2k+

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License

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GPL-3.0

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Paper

--

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Training Notebook

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--

Deploy Model

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Deploy with Roboflow

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Deploy with Roboflow

Compare ResNet 32 and Scaled YOLOv4 with Autodistill

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Resnet-32 vs. Scaled-YOLOv4

Resnet-32 vs. Scaled-YOLOv4

.

Both

ResNet 32

and

Scaled YOLOv4

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

ResNet 32

and

Scaled YOLOv4

	ResNet 32	Scaled YOLOv4
Date of Release
Model Type	Classification	Object Detection
Architecture		YOLO
GitHub Stars	35	2000

ResNet 32

A fast, simple convolutional neural network that gets the job done for many tasks, including classification.

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 ResNet 32

Learn more about Scaled YOLOv4

Compare ResNet 32 to other models

MobileNet V2 Classification

MobileNet SSD v2

Compare Scaled YOLOv4 to other models

YOLOv8 Instance Segmentation

YOLOv7 Instance Segmentation

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