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.
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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.
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

Compare SegFormer 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.