Models

SegFormer vs. YOLOv4 PyTorch

Both

SegFormer

and

YOLOv4 PyTorch

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

SegFormer

and

YOLOv4 PyTorch

.

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

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

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

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