Models
4M vs. YOLOv4 PyTorch

4M vs. YOLOv4 PyTorch

Both 4M and YOLOv4 PyTorch are commonly used in computer vision projects. Below, we compare and contrast 4M and YOLOv4 PyTorch.

Models

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4M

The 4M model is a versatile multimodal Transformer model developed by EPFL and Apple, capable of handling a handful of vision and language tasks.
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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.
Model Type
Multimodal Model
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Object Detection
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Model Features
Item 1 Info
Item 2 Info
Architecture
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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
1.1k
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4.4k+
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License
Apache 2.0
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Apache-2.0
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Training Notebook

Compare 4M and YOLOv4 PyTorch with Autodistill

Models

4M vs. YOLOv4 PyTorch

.

Both

4M

and

YOLOv4 PyTorch

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

4M

and

YOLOv4 PyTorch
  4M YOLOv4 PyTorch
Date of Release Jun 24, 2024
Model Type Multimodal Model Object Detection
Architecture YOLO
GitHub Stars 800 4400

4M

The 4M model is a versatile multimodal Transformer model developed by EPFL and Apple, capable of handling a handful of vision and language tasks.

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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