Models
SegFormer vs. Detectron2

SegFormer vs. Detectron2

Both SegFormer and Detectron2 are commonly used in computer vision projects. Below, we compare and contrast SegFormer and Detectron2.

Models

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SegFormer

SegFormer is a computer vision framework used in semantic segmentation tasks, implemented with transformers.
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Detectron2

Detectron2 is model zoo of it's own for computer vision models written in PyTorch.
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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PyTorch
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Annotation Format
Instance Segmentation
Instance Segmentation
GitHub Stars
2.2k+
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28.4k+
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License
NVIDIA Source Code
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Apache-2.0
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Training Notebook

Compare SegFormer and Detectron2 with Autodistill

Compare SegFormer vs. Detectron2

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.