SegFormer vs. YOLOv7

Both SegFormer and YOLOv7 are commonly used in computer vision projects. Below, we compare and contrast SegFormer and YOLOv7.

Models

SegFormer

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

Learn more about SegFormer

YOLOv7

YOLOv7 is a state of the art object detection model.

Learn more about YOLOv7

Model Type

Semantic Segmentation

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Object Detection

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Model Features

Item 1 Info

Item 2 Info

Architecture

Transformers

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YOLO, CNN

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Frameworks

PyTorch

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PyTorch

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Annotation Format

Instance Segmentation

Instance Segmentation

GitHub

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GitHub Stars

2.2k+

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12.5k+

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License

NVIDIA Source Code

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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 SegFormer and YOLOv7 with Autodistill

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SegFormer vs. YOLOv7

SegFormer vs. YOLOv7

.

Both

SegFormer

and

YOLOv7

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

SegFormer

and

YOLOv7

	SegFormer	YOLOv7
Date of Release	May 31, 2021	Jul 06, 2022
Model Type	Semantic Segmentation	Object Detection
Architecture	Transformers	YOLO, CNN
GitHub Stars	2200	12500

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

YOLOv7

YOLOv7 is a state of the art object detection model.

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

Learn more about SegFormer

Learn more about YOLOv7

Compare SegFormer to other models

MobileNet V2 Classification

MobileNet SSD v2

Compare YOLOv7 to other models

YOLOv8 Instance Segmentation

MobileNet V2 Classification

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