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.
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PaliGemma

PaliGemma is a vision language model (VLM) by Google that has multimodal capabilities.
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 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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Training Notebook

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.