Models
EfficientNet vs. MobileNet SSD v2

EfficientNet vs. MobileNet SSD v2

Both EfficientNet and MobileNet SSD v2 are commonly used in computer vision projects. Below, we compare and contrast EfficientNet and MobileNet SSD v2.

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 SSD v2

This architecture provides good realtime results on limited compute. It's designed to run in realtime (30 frames per second) even on mobile devices.
Learn more about MobileNet SSD v2
Model Type
Classification
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Object Detection
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Model Features
Item 1 Info
Item 2 Info
Architecture
CNN
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Annotation Format
Instance Segmentation
Instance Segmentation
Framework
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Keras
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TensorFlow 1.5
GitHub
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View Repo
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View Repo
GitHub Stars
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81+
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License
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MIT
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Paper
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View Paper
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View Paper
Training Notebook
Train on Colab
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Train on Colab
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Deploy Model
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Deploy with Roboflow
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Deploy with Roboflow
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Compare EfficientNet and MobileNet SSD v2 with Autodistill

Compare EfficientNet vs. MobileNet SSD v2

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.