Models
PaliGemma-2 vs. YOLOv8

PaliGemma-2 vs. YOLOv8

Both PaliGemma-2 and YOLOv8 are commonly used in computer vision projects. Below, we compare and contrast PaliGemma-2 and YOLOv8.

Models

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PaliGemma-2

PaliGemma-2 is a multimodal model developed by Google.
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YOLOv8

YOLOv8 is a state-of-the-art object detection and image segmentation model created by Ultralytics, the developers of YOLOv5.
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, CNN
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Frameworks
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PyTorch
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Annotation Format
Instance Segmentation
Instance Segmentation
GitHub Stars
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21.1k+
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License
Gemma License
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AGPL-3.0
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Training Notebook

Compare PaliGemma-2 and YOLOv8 with Autodistill

Compare PaliGemma-2 vs. YOLOv8

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.