Models
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.

Models

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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.
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SegFormer

SegFormer is a computer vision framework used in semantic segmentation tasks, implemented with transformers.
Model Type
Object Detection
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Semantic Segmentation
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Model Features
Item 1 Info
Item 2 Info
Architecture
CNN, YOLO
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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 Stars
46k+
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2.2k+
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License
AGPL-3.0
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NVIDIA Source Code
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Training Notebook

Compare YOLOv5 and SegFormer with Autodistill

Compare YOLOv5 vs. SegFormer

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.