Models
YOLOv9 vs. SegFormer

YOLOv9 vs. SegFormer

Both YOLOv9 and SegFormer are commonly used in computer vision projects. Below, we compare and contrast YOLOv9 and SegFormer.

Models

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YOLOv9

YOLOv9 is an object detection model architecture released on February 21st, 2024.
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SegFormer

SegFormer is a computer vision framework used in semantic segmentation tasks, implemented with transformers.
Model Type
Object Detection
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Semantic Segmentation
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Model Features
Item 1 Info
Item 2 Info
Architecture
YOLO
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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 Stars
8.5k+
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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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Training Notebook

Compare YOLOv9 and SegFormer with Autodistill

Compare YOLOv9 vs. SegFormer

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.