Models
PaliGemma vs. YOLOX

PaliGemma vs. YOLOX

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

Models

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PaliGemma

PaliGemma is a vision language model (VLM) by Google that has multimodal capabilities.
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YOLOX

YOLOX is a high-performance object detection model.
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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CNN, YOLO
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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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8.9k+
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License
Custom Google
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Apache-2.0
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Training Notebook

Compare PaliGemma and YOLOX with Autodistill

Compare PaliGemma vs. YOLOX

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.