Models
YOLO26 vs. Paligemma

YOLO26 vs. Paligemma

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

Models

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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.
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PaliGemma

PaliGemma is a vision language model (VLM) by Google that has multimodal capabilities.
Model Type
Object Detection
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Multimodal Model
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Model Features
Item 1 Info
Item 2 Info
Architecture
YOLO
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Annotation Format
Instance Segmentation
Instance Segmentation
Framework
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PyTorch
GitHub Stars
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2.0k+
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License
AGPL-3.0
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Custom Google
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Training Notebook

Compare YOLO26 and PaliGemma with Autodistill

Compare YOLO26 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.