Models
OneFormer vs. YOLOX

OneFormer vs. YOLOX

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

Models

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OneFormer

OneFormer is a state-of-the-art multi-task image segmentation framework that is implemented using transformers.
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YOLOX

YOLOX is a high-performance object detection model.
Model Type
Instance 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
1.3k+
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8.9k+
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License
MIT
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Apache-2.0
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Training Notebook

Compare OneFormer and YOLOX with Autodistill

Compare OneFormer 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.