YOLOv5 vs. Resnet-32

Both YOLOv5 and ResNet 32 are commonly used in computer vision projects. Below, we compare and contrast YOLOv5 and ResNet 32.

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

ResNet 32

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

Learn more about ResNet 32

Model Type

Object Detection

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Classification

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Model Features

Item 1 Info

Item 2 Info

Architecture

CNN, YOLO

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Frameworks

PyTorch

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Fast.ai v2

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Annotation Format

Instance Segmentation

Instance Segmentation

GitHub

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GitHub Stars

46k+

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32+

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License

AGPL-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 YOLOv5 and ResNet 32 with Autodistill

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YOLOv5 vs. Resnet-32

YOLOv5 vs. Resnet-32

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Both

YOLOv5

and

ResNet 32

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

YOLOv5

and

ResNet 32

	YOLOv5	ResNet 32
Date of Release	Jan 06, 2020
Model Type	Object Detection	Classification
Architecture	CNN, YOLO
GitHub Stars	33200	35

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

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

Learn more about YOLOv5

Learn more about ResNet 32

Compare YOLOv5 to other models

MobileNet V2 Classification

MobileNet SSD v2

Compare ResNet 32 to other models

YOLOv8 Instance Segmentation

YOLOv7 Instance Segmentation

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