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rf-detr
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rf-detr

RF-DETR is a real-time object detection and segmentation model architecture developed by Roboflow, SOTA on COCO, designed for fine-tuning. [ICLR 2026]

by roboflow · GitHub
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computer-visiondetrinstance-segmentationApache-2.0Python
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Detect and segment objects in images using a real-time model architecture designed for accuracy.

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9k8k
2026-07-042026-08-31
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RF-DETR is a real-time object detection and segmentation model architecture developed by Roboflow, SOTA on COCO, designed for fine-tuning. [ICLR 2026]

rf-detr has 8.6k stars on GitHub. It has been forked 1.1k times. rf-detr is written mainly in Python. It has been in active development since 2025. rf-detr is available under the Apache-2.0 license. Its main topics are computer-vision, detr, instance-segmentation, machine-learning.

Frequently asked questions

What is rf-detr?

RF-DETR is a real-time object detection and segmentation model architecture developed by Roboflow, SOTA on COCO, designed for fine-tuning. [ICLR 2026]

Is rf-detr open source?

rf-detr is an open-source project. It is released under the Apache-2.0 license.

Is rf-detr free?

Yes. rf-detr is free and open source — you can use, modify and self-host it.

What license does rf-detr use?

rf-detr is available under the Apache-2.0 license.

What language is rf-detr written in?

rf-detr is written mainly in Python.

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