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.
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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.
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

Compare SegFormer vs. YOLOv5

Provide your own image below to test YOLOv8 and YOLOv9 model checkpoints trained on the Microsoft COCO dataset.

COCO can detect 80 common objects, including cats, cell phones, and cars.