Models
RF-DETR vs. YOLO26

RF-DETR vs. YOLO26

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

Models

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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.
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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.
Model Type
Object Detection
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Object Detection
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Model Features
Item 1 Info
Item 2 Info
Architecture
Transformers
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YOLO
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Annotation Format
Instance Segmentation
Instance Segmentation
Framework
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GitHub Stars
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License
Apache 2.0
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AGPL-3.0
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Training Notebook

Compare RF-DETR and YOLO26 with Autodistill

Compare RF-DETR vs. YOLO26

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.