Models
YOLOv8 vs. SegFormer

YOLOv8 vs. SegFormer

Both YOLOv8 and SegFormer are commonly used in computer vision projects. Below, we compare and contrast YOLOv8 and SegFormer.

Models

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YOLOv8

YOLOv8 is a state-of-the-art object detection and image segmentation model created by Ultralytics, the developers of YOLOv5.
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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
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 Stars
21.1k+
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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 YOLOv8 and SegFormer with Autodistill

Compare YOLOv8 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.