Models
OneFormer vs. YOLOv5

OneFormer vs. YOLOv5

Both OneFormer and YOLOv5 are commonly used in computer vision projects. Below, we compare and contrast OneFormer and YOLOv5.

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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YOLOv5

A very fast and easy to use PyTorch model that achieves state of the art (or near state of the art) results.
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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46k+
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License
MIT
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AGPL-3.0
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Training Notebook

Compare OneFormer and YOLOv5 with Autodistill

Compare OneFormer vs. YOLOv5

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.