Models
SegFormer vs. YOLOv5

SegFormer vs. YOLOv5

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

Models

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SegFormer

SegFormer is a computer vision framework used in semantic segmentation tasks, implemented with transformers.
Learn more about SegFormer
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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
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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CNN, YOLO
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Frameworks
PyTorch
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PyTorch
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Annotation Format
Instance Segmentation
Instance Segmentation
GitHub Stars
2.2k+
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46k+
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License
NVIDIA Source Code
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AGPL-3.0
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Training Notebook

Compare SegFormer and YOLOv5 with Autodistill

Models

SegFormer vs. YOLOv5

.

Both

SegFormer

and

YOLOv5

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

SegFormer

and

YOLOv5
  SegFormer YOLOv5
Date of Release May 31, 2021 Jan 06, 2020
Model Type Semantic Segmentation Object Detection
Architecture Transformers CNN, YOLO
GitHub Stars 2200 33200

SegFormer

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

How to AugmentHow to LabelHow to Plot PredictionsHow to Filter PredictionsHow 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 AugmentHow to LabelHow to Plot PredictionsHow to Filter PredictionsHow to Create a Confusion Matrix

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