Models
YOLOv10 vs. YOLOR

YOLOv10 vs. YOLOR

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

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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YOLOR

YOLOR (You Only Learn One Representation) is an object detection model that uses both implicit and explicit knowledge to make predictions.
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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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
7800
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2k+
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License
GNU Affero General Public
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GPL-3.0
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Training Notebook

Compare YOLOv10 and YOLOR with Autodistill