Models
SegFormer vs. MobileNet SSD v2

SegFormer vs. MobileNet SSD v2

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

Models

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SegFormer

SegFormer is a computer vision framework used in semantic segmentation tasks, implemented with transformers.
Learn more about SegFormer
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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
Semantic Segmentation
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Object Detection
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Model Features
Item 1 Info
Item 2 Info
Architecture
Transformers
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Frameworks
PyTorch
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TensorFlow 1.5
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Annotation Format
Instance Segmentation
Instance Segmentation
GitHub Stars
2.2k+
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81+
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License
NVIDIA Source Code
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MIT
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Training Notebook

Compare SegFormer and MobileNet SSD v2 with Autodistill

Models

SegFormer vs. MobileNet SSD v2

.

Both

SegFormer

and

MobileNet SSD v2

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

SegFormer

and

MobileNet SSD v2
  SegFormer MobileNet SSD v2
Date of Release May 31, 2021 Jan 13, 2018
Model Type Semantic Segmentation Object Detection
Architecture Transformers
GitHub Stars 2200 81

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

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.

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

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