Models
YOLOv10 vs. SegFormer

YOLOv10 vs. SegFormer

Both YOLOv10 and SegFormer are commonly used in computer vision projects. Below, we compare and contrast YOLOv10 and SegFormer.

Models

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YOLOv10

YOLOv10 is a real-time object detection model introduced in the paper "YOLOv10: Real-Time End-to-End Object Detection".
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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
7800
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2.2k+
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License
GNU Affero General Public
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NVIDIA Source Code
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Training Notebook

Compare YOLOv10 and SegFormer with Autodistill

Compare YOLOv10 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.