Models
PaliGemma vs. YOLOv8

PaliGemma vs. YOLOv8

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

Models

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PaliGemma

PaliGemma is a vision language model (VLM) by Google that has multimodal capabilities.
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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
PyTorch
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PyTorch
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Annotation Format
Instance Segmentation
Instance Segmentation
GitHub Stars
2.0k+
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21.1k+
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License
Custom Google
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AGPL-3.0
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Training Notebook

Compare PaliGemma and YOLOv8 with Autodistill

Compare PaliGemma 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.