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.
Learn more about YOLOv8
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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 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

Models

YOLOv8 vs. SegFormer

.

Both

YOLOv8

and

SegFormer

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

YOLOv8

and

SegFormer
  YOLOv8 SegFormer
Date of Release Jan 10, 2023 May 31, 2021
Model Type Object Detection Semantic Segmentation
Architecture YOLO, CNN Transformers
GitHub Stars 21100 2200

YOLOv8

YOLOv8 is a state-of-the-art object detection and image segmentation model created by Ultralytics, the developers of YOLOv5.

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

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

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