Models
PaliGemma vs. YOLOv5

PaliGemma vs. YOLOv5

Both PaliGemma and YOLOv5 are commonly used in computer vision projects. Below, we compare and contrast PaliGemma and YOLOv5.

Models

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PaliGemma

PaliGemma is a vision language model (VLM) by Google that has multimodal capabilities.
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YOLOv5

A very fast and easy to use PyTorch model that achieves state of the art (or near state of the art) results.
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
2.0k+
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46k+
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License
Custom Google
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AGPL-3.0
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Training Notebook

Compare PaliGemma and YOLOv5 with Autodistill

Compare PaliGemma vs. YOLOv5

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.