Models
SegFormer vs. Scaled-YOLOv4

SegFormer vs. Scaled-YOLOv4

Both SegFormer and Scaled YOLOv4 are commonly used in computer vision projects. Below, we compare and contrast SegFormer and Scaled YOLOv4.

Models

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SegFormer

SegFormer is a computer vision framework used in semantic segmentation tasks, implemented with transformers.
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Scaled YOLOv4

Scaled YOLOv4 is an extension of the YOLOv4 research implemented in the YOLOv5 PyTorch framework.
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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YOLO
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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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2k+
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License
NVIDIA Source Code
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GPL-3.0
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Training Notebook

Compare SegFormer and Scaled YOLOv4 with Autodistill

Compare SegFormer vs. Scaled-YOLOv4

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.