Models
SegFormer vs. YOLOv4 PyTorch

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.

Models

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SegFormer

SegFormer is a computer vision framework used in semantic segmentation tasks, implemented with transformers.
Learn more about SegFormer
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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.
Learn more about YOLOv4 PyTorch
Model Type
Semantic Segmentation
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Object Detection
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Model Features
Item 1 Info
Item 2 Info
Architecture
Transformers
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YOLO
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Frameworks
PyTorch
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PyTorch
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Annotation Format
Instance Segmentation
Instance Segmentation
GitHub Stars
2.2k+
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4.4k+
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License
NVIDIA Source Code
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Apache-2.0
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Training Notebook

Compare SegFormer and YOLOv4 PyTorch with Autodistill

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 2200 4400

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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