Models

YOLOv8 vs. SegFormer

Both

YOLOv8

and

SegFormer

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

YOLOv8

and

SegFormer

.

YOLOv8

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

SegFormer

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

  YOLOv8 SegFormer
Date of Release Jan 10, 2023 May 31, 2021
Community Status Active Active
Model Type Object Detection Semantic Segmentation
Architecture YOLO, CNN Transformers
FPS 51
Framework Used PyTorch PyTorch
Learn more about YOLOv8Learn more about SegFormer

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