Models
4M vs. YOLOX

4M vs. YOLOX

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

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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YOLOX

YOLOX is a high-performance object detection model.
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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CNN, 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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8.9k+
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License
Apache 2.0
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Apache-2.0
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Training Notebook

Compare 4M and YOLOX with Autodistill

Models

4M vs. YOLOX

.

Both

4M

and

YOLOX

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

4M

and

YOLOX
  4M YOLOX
Date of Release Jun 24, 2024 Jul 18, 2021
Model Type Multimodal Model Object Detection
Architecture CNN, YOLO
GitHub Stars 800 8900

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

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