Models
YOLOS vs. YOLOv4 PyTorch

YOLOS vs. YOLOv4 PyTorch

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

Models

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YOLOS

YOLOS looks at patches of an image to to form "patch tokens", which are used in place of the traditional wordpiece tokens in NLP.
Learn more about YOLOS
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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
Object Detection
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Object Detection
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Model Features
Item 1 Info
Item 2 Info
Architecture
Transformer, YOLO
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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
812+
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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 YOLOS and YOLOv4 PyTorch with Autodistill

Models

YOLOS vs. YOLOv4 PyTorch

.

Both

YOLOS

and

YOLOv4 PyTorch

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

YOLOS

and

YOLOv4 PyTorch
  YOLOS YOLOv4 PyTorch
Date of Release Jun 01, 2021
Model Type Object Detection Object Detection
Architecture Transformer, YOLO YOLO
GitHub Stars 812 4400

YOLOS

YOLOS looks at patches of an image to to form "patch tokens", which are used in place of the traditional wordpiece tokens in NLP.

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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