Models
YOLO26 vs. RF-DETR

YOLO26 vs. RF-DETR

Both YOLO26 and RF-DETR are commonly used in computer vision projects. Below, we compare and contrast YOLO26 and RF-DETR.

Models

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YOLO26

YOLO26 is a real-time, NMS-free YOLO model optimized for edge deployment, supporting multiple vision tasks across scalable model sizes.
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RF-DETR

RF-DETR is a SOTA, real-time object detection model architecture developed by Roboflow and released under the Apache 2.0 license.
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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Transformers
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Annotation Format
Instance Segmentation
Instance Segmentation
Framework
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GitHub Stars
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License
AGPL-3.0
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Apache 2.0
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Training Notebook

Compare YOLO26 and RF-DETR with Autodistill

Compare YOLO26 vs. RF-DETR

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.