Models
4M vs. PaliGemma

4M vs. PaliGemma

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

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.
Learn more about 4M
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PaliGemma

PaliGemma is a vision language model (VLM) by Google that has multimodal capabilities.
Learn more about PaliGemma
Model Type
Multimodal Model
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Multimodal Model
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Model Features
Item 1 Info
Item 2 Info
Architecture
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Frameworks
PyTorch
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PyTorch
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Annotation Format
Instance Segmentation
Instance Segmentation
GitHub
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View Repo
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View Repo
GitHub Stars
1.1k
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2.0k+
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License
Apache 2.0
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Custom Google
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Paper
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View Paper
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View Paper
Training Notebook
Train on Colab
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Train on Colab
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Deploy Model
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Deploy with Roboflow
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rocket icon
Deploy with Roboflow
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Compare 4M and PaliGemma with Autodistill

Compare 4M vs. PaliGemma

Provide your own image below to test YOLOv8 and YOLOv9 model checkpoints trained on the Microsoft COCO dataset.

COCO can detect 80 common objects, including cats, cell phones, and cars.