Models
EfficientNet vs. SegFormer

EfficientNet vs. SegFormer

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

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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SegFormer

SegFormer is a computer vision framework used in semantic segmentation tasks, implemented with transformers.
Learn more about SegFormer
Model Type
Classification
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Semantic Segmentation
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Model Features
Item 1 Info
Item 2 Info
Architecture
CNN
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Transformers
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Frameworks
Keras
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PyTorch
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Annotation Format
Instance Segmentation
Instance Segmentation
GitHub
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View Repo
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View Repo
GitHub Stars
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2.2k+
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License
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NVIDIA Source Code
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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 SegFormer with Autodistill