Context1 tokens
Price (In / Out)Free / Free
CategoryVision Model
Max Output1 tokens
About RF-DETR
RF-DETR is Roboflow’s real-time transformer model family for object detection, instance segmentation, and preview keypoint detection. The source README reports Microsoft COCO and RF100-VL benchmarks and public Apache-licensed model variants.
Capabilities
object detectioninstance segmentationkeypoint detectionvisionfine tuning
Input Modalities
image
Output Modalities
bounding-boxesmaskskeypoints
Technical Details
- API Identifier
- https://github.com/roboflow/rf-detr
- Category
- Vision Model
- Context Window
- 1 tokens
- Max Output Tokens
- 1 tokens
Tags
computer-visionobject-detectionsegmentationopen-sourceroboflowgithubfine-tuning
Benchmarks
Performance scores for RF-DETR across standard benchmarks.
COCO AP50:95 Object DetectionRoboflow RF-DETR README benchmark table · Jun 2026
60.1%
RF100-VL AP50:95 Object DetectionRoboflow RF-DETR README benchmark table · Jun 2026
63.2%
COCO Keypoint AP50:95Roboflow RF-DETR README benchmark table · Jun 2026
71.8%
Pricing
Token pricing for RF-DETR API usage.
Input Tokens
Free
per million tokens
Output Tokens
Free
per million tokens
Pricing Calculator
Input cost$0.00
Output cost$0.00
Estimated monthly cost$0.00
Open-source model package and public weights are listed in the source repository. There is no verified hosted token API price for this model page; operating cost depends on local GPU or inference infrastructure. Context and max output fields are schema placeholders because RF-DETR is a vision detection model, not a token LLM.
Roboflowsaas
Computer vision tools for developers and enterprises
Founded 2019United States
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