YOLOv7 vs. SegFormer

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

Models

YOLOv7

YOLOv7 is a state of the art object detection model.

Learn more about YOLOv7

SegFormer

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

Learn more about SegFormer

Model Type

Object Detection

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Semantic Segmentation

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Model Features

Item 1 Info

Item 2 Info

Architecture

YOLO, CNN

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Transformers

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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

12.5k+

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2.2k+

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License

GPL-3.0

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NVIDIA Source Code

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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 YOLOv7 and SegFormer with Autodistill

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YOLOv7 vs. SegFormer

YOLOv7 vs. SegFormer

.

Both

YOLOv7

and

SegFormer

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

YOLOv7

and

SegFormer

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

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

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 YOLOv7

Learn more about SegFormer

Compare YOLOv7 to other models

MobileNet V2 Classification

MobileNet SSD v2

Compare SegFormer to other models

YOLOv8 Instance Segmentation

YOLOv7 Instance Segmentation

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