Models
EfficientNet vs. MobileNet V2 Classification

EfficientNet vs. MobileNet V2 Classification

Both EfficientNet and MobileNet V2 Classification are commonly used in computer vision projects. Below, we compare and contrast EfficientNet and MobileNet V2 Classification.

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.
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MobileNet V2 Classification

MobileNet is a GoogleAI model well-suited for on-device, real-time classification (distinct from MobileNetSSD, Single Shot Detector). This implementation leverages transfer learning from ImageNet to your dataset.
Model Type
Classification
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Classification
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Model Features
Item 1 Info
Item 2 Info
Architecture
CNN
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Frameworks
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 EfficientNet and MobileNet V2 Classification with Autodistill

Compare EfficientNet vs. MobileNet V2 Classification

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.