Models
Paligemma-2 vs. YOLO26

Paligemma-2 vs. YOLO26

Both PaliGemma-2 and YOLO26 are commonly used in computer vision projects. Below, we compare and contrast PaliGemma-2 and YOLO26.

Models

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PaliGemma-2

PaliGemma-2 is a multimodal model developed by Google.
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YOLO26

YOLO26 is a real-time, NMS-free YOLO model optimized for edge deployment, supporting multiple vision tasks across scalable model sizes.
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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YOLO
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Annotation Format
Instance Segmentation
Instance Segmentation
Framework
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GitHub Stars
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License
Gemma License
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AGPL-3.0
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Training Notebook

Compare PaliGemma-2 and YOLO26 with Autodistill

Compare Paligemma-2 vs. YOLO26

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.