Pyyan / Compare / YOLOv12 vs RF-DETR vs Grounding DINO

YOLOv12 vs RF-DETR vs Grounding DINO

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Object Detection · verified 13 Aug 2026

×YOLOv12Ultralyticscurrent
×RF-DETRRoboflowcurrent
×IGrounding DINOIDEA Researchcurrent
2 slots left
SpecificationYOLOv12RF-DETRGrounding DINO
SummaryAttention-centric YOLO, still widely deployed.First real-time detector past 60 mAP on COCO.Detects whatever you describe in words.
COCO mAP~5560.5~52 zero-shot
SpeedVery highReal timeModerate
LicenceAGPL-3.0Apache 2.0Apache 2.0
FamilySingle stageTransformer, set predictionOpen vocabulary
Open vocabularyNoNoYes
Released202520252023
CategoryObject DetectionObject DetectionObject Detection
OfficialUltralyticsRoboflowIDEA Research

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 →

Grounding DINO

  • Text prompt in, boxes out
  • Fine-tuning still beats it on specialised objects

Best for classes you have no data for.

Full spec sheet →