Models
PaliGemma-2 vs. EfficientNet

PaliGemma-2 vs. EfficientNet

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

Models

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PaliGemma-2

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

EfficientNet is from a family of image classification models from GoogleAI that train comparatively quickly on small amounts of data, making the most of limited datasets.
Model Type
Multimodal Model
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Classification
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Model Features
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Item 2 Info
Architecture
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CNN
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Frameworks
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Keras
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Annotation Format
Instance Segmentation
Instance Segmentation
GitHub Stars
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License
Gemma License
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Training Notebook

Compare PaliGemma-2 and EfficientNet with Autodistill

Compare PaliGemma-2 vs. EfficientNet

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.