Models
4M vs. Scaled-YOLOv4

4M vs. Scaled-YOLOv4

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

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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Scaled YOLOv4

Scaled YOLOv4 is an extension of the YOLOv4 research implemented in the YOLOv5 PyTorch framework.
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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2k+
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License
Apache 2.0
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GPL-3.0
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Training Notebook

Compare 4M and Scaled YOLOv4 with Autodistill

Models

4M vs. Scaled-YOLOv4

.

Both

4M

and

Scaled YOLOv4

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

4M

and

Scaled YOLOv4
  4M Scaled YOLOv4
Date of Release Jun 24, 2024
Model Type Multimodal Model Object Detection
Architecture YOLO
GitHub Stars 800 2000

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

Scaled YOLOv4

Scaled YOLOv4 is an extension of the YOLOv4 research implemented in the YOLOv5 PyTorch framework.

How to AugmentHow to LabelHow to Plot PredictionsHow to Filter PredictionsHow to Create a Confusion Matrix

Compare Scaled YOLOv4 to other models

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