Pyyan / Compare / YOLOv12 vs RF-DETR vs YOLO26

YOLOv12 vs RF-DETR vs YOLO26

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Object Detection · verified 13 Aug 2026

×YOLOv12Ultralyticscurrent
×RF-DETRRoboflowcurrent
×YOLO26Ultralyticscurrent
2 slots left
SpecificationYOLOv12RF-DETRYOLO26
SummaryAttention-centric YOLO, still widely deployed.First real-time detector past 60 mAP on COCO.The latest in the line most people mean by object detection.
COCO mAP~5560.5~55
SpeedVery highReal timeVery high
LicenceAGPL-3.0Apache 2.0AGPL-3.0
FamilySingle stageTransformer, set predictionSingle stage
Open vocabularyNoNoNo
Released202520252026
CategoryObject DetectionObject DetectionObject Detection
OfficialUltralyticsRoboflowUltralytics

Highlighted rows are where these differ.

YOLOv12

  • Attention added to the classic single-stage design
  • Same licensing consideration as YOLO26

Best for teams already on the YOLO toolchain.

Full spec sheet →

RF-DETR

  • Leads the RF100-VL domain-transfer benchmark
  • DINOv2 backbone, markedly better on occluded objects
  • Apache 2.0, which YOLO is not

Best for most custom detection tasks.

Full spec sheet →

YOLO26

  • Strong on Jetson, Snapdragon and ARM CPUs
  • AGPL-3.0: open-source your derivative work or buy a licence

Best for edge and mobile deployment.

Full spec sheet →