Models
OneFormer vs. YOLOv4 PyTorch

OneFormer vs. YOLOv4 PyTorch

Both OneFormer and YOLOv4 PyTorch are commonly used in computer vision projects. Below, we compare and contrast OneFormer and YOLOv4 PyTorch.

Models

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OneFormer

OneFormer is a state-of-the-art multi-task image segmentation framework that is implemented using transformers.
Learn more about OneFormer
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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
Instance 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
1.3k+
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4.4k+
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License
MIT
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Apache-2.0
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Training Notebook

Compare OneFormer and YOLOv4 PyTorch with Autodistill

Models

OneFormer vs. YOLOv4 PyTorch

.

Both

OneFormer

and

YOLOv4 PyTorch

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

OneFormer

and

YOLOv4 PyTorch
  OneFormer YOLOv4 PyTorch
Date of Release Nov 10, 2022
Model Type Instance Segmentation Object Detection
Architecture Transformers YOLO
GitHub Stars 1300 4400

OneFormer

OneFormer is a state-of-the-art multi-task image segmentation framework that is implemented using 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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