Models
YOLOv10 vs. YOLOS

YOLOv10 vs. YOLOS

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

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".
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YOLOS

YOLOS looks at patches of an image to to form "patch tokens", which are used in place of the traditional wordpiece tokens in NLP.
Model Type
Object Detection
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Object Detection
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Model Features
Item 1 Info
Item 2 Info
Architecture
YOLO
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Transformer, YOLO
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Frameworks
PyTorch
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PyTorch
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Annotation Format
Instance Segmentation
Instance Segmentation
GitHub Stars
7800
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812+
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License
GNU Affero General Public
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MIT
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Training Notebook

Compare YOLOv10 and YOLOS with Autodistill

Compare YOLOv10 vs. YOLOS

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.