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.
Learn more about EfficientNet
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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.
Learn more about MobileNet V2 Classification
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

Models

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
  EfficientNet MobileNet V2 Classification
Date of Release May 28, 2019
Model Type Classification Classification
Architecture CNN
GitHub Stars 7200

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.

How to AugmentHow to LabelHow to Plot PredictionsHow to Filter PredictionsHow to Create a Confusion Matrix

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.

How to AugmentHow to LabelHow to Plot PredictionsHow to Filter PredictionsHow to Create a Confusion Matrix

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