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Resnet-32 vs. YOLOv5

Resnet-32 vs. YOLOv5

Both

ResNet 32

and

YOLOv5

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

ResNet 32

and

YOLOv5

.

	ResNet 32	YOLOv5
Date of Release		Jan 06, 2020
Model Type	Classification	Object Detection
Architecture		CNN, YOLO
GitHub Stars	2	33200

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

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

Learn more about ResNet 32

Learn more about YOLOv5

Compare ResNet 32 to other models

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Compare YOLOv5 to other models

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YOLOv7 Instance Segmentation

MobileNet V2 Classification

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