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

Compare EfficientNet vs. SegFormer

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.