Models
YOLOv9 Image Segmentation vs. YOLOv10

YOLOv9 Image Segmentation vs. YOLOv10

Both YOLOv9 Image Segmentation and YOLOv10 are commonly used in computer vision projects. Below, we compare and contrast YOLOv9 Image Segmentation and YOLOv10.

Models

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YOLOv10

YOLOv10 is a real-time object detection model introduced in the paper "YOLOv10: Real-Time End-to-End Object Detection".
Model Type
Instance Segmentation
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Object Detection
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Model Features
Item 1 Info
Item 2 Info
Architecture
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YOLO
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Frameworks
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PyTorch
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Annotation Format
Instance Segmentation
Instance Segmentation
GitHub Stars
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7800
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License
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GNU Affero General Public
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Training Notebook

Compare YOLOv9 Image Segmentation and YOLOv10 with Autodistill

Compare YOLOv9 Image Segmentation vs. YOLOv10

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.