Models
PaliGemma-2 vs. Scaled-YOLOv4

PaliGemma-2 vs. Scaled-YOLOv4

Both PaliGemma-2 and Scaled YOLOv4 are commonly used in computer vision projects. Below, we compare and contrast PaliGemma-2 and Scaled YOLOv4.

Models

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PaliGemma-2

PaliGemma-2 is a multimodal model developed by Google.
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Scaled YOLOv4

Scaled YOLOv4 is an extension of the YOLOv4 research implemented in the YOLOv5 PyTorch framework.
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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2k+
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License
Gemma License
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GPL-3.0
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Training Notebook

Compare PaliGemma-2 and Scaled YOLOv4 with Autodistill

Compare PaliGemma-2 vs. Scaled-YOLOv4

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.