Models
YOLOv7 vs. SegFormer

YOLOv7 vs. SegFormer

Both YOLOv7 and SegFormer are commonly used in computer vision projects. Below, we compare and contrast YOLOv7 and SegFormer.

Models

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YOLOv7

YOLOv7 is a state of the art object detection model.
Learn more about YOLOv7
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SegFormer

SegFormer is a computer vision framework used in semantic segmentation tasks, implemented with transformers.
Learn more about SegFormer
Model Type
Object Detection
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Semantic Segmentation
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Model Features
Item 1 Info
Item 2 Info
Architecture
YOLO, CNN
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Transformers
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Frameworks
PyTorch
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PyTorch
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Annotation Format
Instance Segmentation
Instance Segmentation
GitHub
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View Repo
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View Repo
GitHub Stars
13.0k+
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2.2k+
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License
GPL-3.0
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NVIDIA Source Code
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Paper
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View Paper
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View Paper
Training Notebook
Train on Colab
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Train on Colab
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Deploy Model
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Deploy with Roboflow
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Deploy with Roboflow
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Compare YOLOv7 and SegFormer with Autodistill