Models

EfficientNet vs. SegFormer

Both

EfficientNet

and

SegFormer

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

EfficientNet

and

SegFormer

.

  EfficientNet SegFormer
Date of Release May 28, 2019 May 31, 2021
Model Type Classification Semantic Segmentation
Architecture CNN Transformers
GitHub Stars 7200 1300

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

SegFormer

SegFormer is a computer vision framework used in semantic segmentation tasks, implemented with transformers.

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

Deploy a computer vision model today

Join 250,000 developers curating high quality datasets and deploying better models with Roboflow.

Get started