Models
OneFormer vs. YOLOv7

OneFormer vs. YOLOv7

Both OneFormer and YOLOv7 are commonly used in computer vision projects. Below, we compare and contrast OneFormer and YOLOv7.

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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YOLOv7

YOLOv7 is a state of the art 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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YOLO, CNN
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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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13.0k+
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License
MIT
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GPL-3.0
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Training Notebook

Compare OneFormer and YOLOv7 with Autodistill

Compare OneFormer vs. YOLOv7

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.