Models

YOLOv4 PyTorch vs. SegFormer

Both

YOLOv4 PyTorch

and

SegFormer

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

YOLOv4 PyTorch

and

SegFormer

.

  YOLOv4 PyTorch SegFormer
Date of Release May 31, 2021
Model Type Object Detection Semantic Segmentation
Architecture YOLO Transformers
GitHub Stars 4200 1300

YOLOv4 PyTorch

YOLOv4 has emerged as the best real time object detection model. YOLOv4 carries forward many of the research contributions of the YOLO family of models along with new modeling and data augmentation techniques. This implementation is in PyTorch.

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

Deploy a computer vision model today

Join 250,000 developers curating high quality datasets and deploying better models with Roboflow.

Get started