roboflow/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]
- Stars
- 9.9k
- Forks
- 1.2k
- Open issues
- 67
- Last push
- today
About rf-detr
rf-detr is a free, open-source computer vision tool by roboflow, written mainly in Python. RF-DETR is a real-time object detection and segmentation model architecture developed by Roboflow, SOTA on COCO, designed for fine-tuning. [ICLR 2026]. It has 9.9k GitHub stars and 1.2k forks, and was last updated today. It's released under the Apache-2.0 license, a standard open-source license.
- License
- Apache-2.0
- Language
- Python
- Stars
- 9,870
- Last update
- today
- Runs on Mac
- Not stated
- GPU
- Not stated
- Paid API key
- Not stated
- Self-hostable
- Yes
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rf-detr FAQ
Is rf-detr free?
Yes. rf-detr is open source and free to use. It's released under the Apache-2.0 license, a standard open-source license.
Does rf-detr run on a Mac?
The project doesn't say. Check its installation guide before you start.
Does rf-detr need a GPU?
The project doesn't state hardware needs. AI models generally run much faster with a GPU.
Is rf-detr still maintained?
Yes. It was last updated today and has 67 open issues on GitHub.
What are alternatives to rf-detr?
Similar free, open-source tools include ultralytics, supervision, yolov5, deep-learning-drizzle.