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]
Why this job: says: object detection; topics: computer-vision, object-detection, instance-segmentation, machine-learning
What it does
RF-DETR is a real-time transformer architecture for object detection, instance segmentation, and keypoint detection (preview) developed by Roboflow. Built on a DINOv2 vision transformer backbone (a PE-Core-T backbone for Atto, Femto and Pico), RF-DETR delivers state-of-the-art accuracy and latency trade-offs on Microsoft COCO and RF100-VL.
Get started
pip install rfdetr- Maintenance
- Active
- Last commit today
- Stars
- 10,050
- +66 this week
- Licence
- Apache-2.0
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- 1.12.1
- Released today
- Built with
- Python
- 100% of the code
Is it looked after?
- Contributors
- 26
- Last 90 days
- Issues
- 91% closed
- 62 still open
- Pull requests
- 876 merged
- 12 waiting
- Releases
- 35
- 30+ in the last year
- Contributing guide (opens in new tab)
- Security policy (opens in new tab)
- No code of conduct
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| PierreMarieCurie / rf-detr-onnx | 105 | 9 months ago | MIT | No downloads |
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More: languages, topics and project record
Languages
- Python 100%
Topics
- computer-vision
- detr
- machine-learning
- object-detection
- rf-detr
- instance-segmentation
- sota
Project record
- JobAI libraries and models
- StatusListed
- Commits1,347
- Forks1,274
- Watching74
- Stars in 28 days+251
- CreatedMar 19, 2025
- First seen by usNov 7, 2026
- CheckedNov 12, 2026