Models
PaliGemma-2 vs. YOLOv10

PaliGemma-2 vs. YOLOv10

Both PaliGemma-2 and YOLOv10 are commonly used in computer vision projects. Below, we compare and contrast PaliGemma-2 and YOLOv10.

Models

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PaliGemma-2

PaliGemma-2 is a multimodal model developed by Google.
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YOLOv10

YOLOv10 is a real-time object detection model introduced in the paper "YOLOv10: Real-Time End-to-End Object Detection".
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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Frameworks
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PyTorch
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Annotation Format
Instance Segmentation
Instance Segmentation
GitHub Stars
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7800
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License
Gemma License
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GNU Affero General Public
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Training Notebook

Compare PaliGemma-2 and YOLOv10 with Autodistill

Compare PaliGemma-2 vs. YOLOv10

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.