Models
YOLOv11 vs. PaliGemma

YOLOv11 vs. PaliGemma

Both YOLO11 and PaliGemma are commonly used in computer vision projects. Below, we compare and contrast YOLO11 and PaliGemma.

Models

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YOLO11

YOLO11 is a computer vision model that you can use for object detection, segmentation, and classification.
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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
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Frameworks
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PyTorch
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Annotation Format
Instance Segmentation
Instance Segmentation
GitHub Stars
29000
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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 YOLO11 and PaliGemma with Autodistill

Compare YOLOv11 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.