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YOLOv5 vs. SegFormer

YOLOv5 vs. SegFormer

Both

YOLOv5

and

SegFormer

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

YOLOv5

and

SegFormer

.

	YOLOv5	SegFormer
Date of Release	Jan 06, 2020	May 31, 2021
Model Type	Object Detection	Semantic Segmentation
Architecture	CNN, YOLO	Transformers
GitHub Stars	33200	1300

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

SegFormer

SegFormer is a computer vision framework used in semantic segmentation tasks, implemented with transformers.

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 SegFormer

Compare YOLOv5 to other models

MobileNet V2 Classification

MobileNet SSD v2

Compare SegFormer to other models

YOLOv8 Instance Segmentation

YOLOv7 Instance Segmentation

MobileNet V2 Classification

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