Models
PaliGemma vs. YOLOS

PaliGemma vs. YOLOS

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

Models

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PaliGemma

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

YOLOS looks at patches of an image to to form "patch tokens", which are used in place of the traditional wordpiece tokens in NLP.
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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Transformer, YOLO
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Frameworks
PyTorch
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PyTorch
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Annotation Format
Instance Segmentation
Instance Segmentation
GitHub Stars
2.0k+
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812+
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License
Custom Google
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MIT
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Training Notebook

Compare PaliGemma and YOLOS with Autodistill

Compare PaliGemma vs. YOLOS

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.