Models
Phi-3.5 vs. EfficientNet

Phi-3.5 vs. EfficientNet

Both Phi-3.5 and EfficientNet are commonly used in computer vision projects. Below, we compare and contrast Phi-3.5 and EfficientNet.

Models

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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
Item 1 Info
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
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Training Notebook

Compare Phi-3.5 and EfficientNet with Autodistill

Compare Phi-3.5 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.