Models

YOLOv3 PyTorch vs. SegFormer

Both

YOLOv3 PyTorch

and

SegFormer

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

YOLOv3 PyTorch

and

SegFormer

.

YOLOv3 PyTorch

Though it is no longer the most accurate object detection algorithm, YOLO v3 is still a very good choice when you need real-time detection while maintaining excellent accuracy. PyTorch version.

SegFormer

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

  YOLOv3 PyTorch SegFormer
Date of Release Apr 08, 2018 May 31, 2021
Community Status Active
Model Type Object Detection Semantic Segmentation
Architecture YOLO Transformers
FPS 51
Framework Used PyTorch PyTorch
Learn more about YOLOv3 PyTorchLearn more about SegFormer

Deploy a computer vision model today

Join 100k developers curating high quality datasets and deploying better models with Roboflow.

Get started