Models
SegFormer vs. YOLOX

SegFormer vs. YOLOX

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

Models

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SegFormer

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

YOLOX is a high-performance object detection model.
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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CNN, 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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8.9k+
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License
NVIDIA Source Code
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Apache-2.0
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Training Notebook

Compare SegFormer and YOLOX with Autodistill

Compare SegFormer vs. YOLOX

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.