Models
YOLO11 vs. SegFormer

YOLO11 vs. SegFormer

Both YOLO11 and SegFormer are commonly used in computer vision projects. Below, we compare and contrast YOLO11 and SegFormer.

Models

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YOLO11

YOLO11 is a computer vision model that you can use for object detection, segmentation, and classification.
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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
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Transformers
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Frameworks
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PyTorch
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Annotation Format
Instance Segmentation
Instance Segmentation
GitHub Stars
29000
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2.2k+
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License
AGPL-3.0
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NVIDIA Source Code
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Training Notebook

Compare YOLO11 and SegFormer with Autodistill

Compare YOLO11 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.