Models
Segment Anything 2 vs. YOLOv9 Image Segmentation

Segment Anything 2 vs. YOLOv9 Image Segmentation

Both Segment Anything 2 and YOLOv9 Image Segmentation are commonly used in computer vision projects. Below, we compare and contrast Segment Anything 2 and YOLOv9 Image Segmentation.

Models

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Segment Anything 2

Segment Anything 2 (SAM 2) is a real-time image and video segmentation model.
Learn more about Segment Anything 2
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YOLOv9 Image Segmentation

Learn more about YOLOv9 Image Segmentation
Model Type
Instance Segmentation
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Instance Segmentation
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Model Features
Item 1 Info
Item 2 Info
Architecture
Segment Anything
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Frameworks
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Annotation Format
Instance Segmentation
Instance Segmentation
GitHub
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View Repo
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View Repo
GitHub Stars
3300
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License
Apache 2.0
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Paper
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View Paper
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View Paper
Training Notebook
Train on Colab
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Train on Colab
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Deploy Model
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Deploy with Roboflow
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Deploy with Roboflow
Compare Alternatives
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Compare Segment Anything 2 and YOLOv9 Image Segmentation with Autodistill

Compare Segment Anything 2 vs. YOLOv9 Image Segmentation

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.