
rf-detr
by roboflow (organization)
RF-DETR is a real-time object detection and segmentation model architecture developed by Roboflow, SOTA on COCO, designed for fine-tuning. [ICLR 2026] (description from the project’s GitHub page)
Repository facts
- Stars
- 9,830
- Forks
- 1,238
- Open issues and pull requests
- 85
- Primary language
- Python
- License
- Apache License 2.0 (Apache-2.0)
- Owner
- roboflow · Organization
- Created
- Mar 19, 2025
- Last push
- Oct 16, 2026
Topics
Related projects
Projects that share this one’s GitHub topics.
Rank 6,535: LibreYOLO/libreyolo
LibreYOLO is a MIT licensed open source computer vision library
900 starsPythonOther licenseLast push Oct 17, 2026
Rank 228: open-mmlab/mmdetection
OpenMMLab Detection Toolbox and Benchmark
32,998 starsPythonApache-2.0Last push Aug 21, 2024
Rank 2,529: lucasjinreal/yolov7_d2
🔥🔥🔥🔥 (Earlier YOLOv7 not official one) YOLO with Transformers and Instance Segmentation, with TensorRT acceleration! 🔥🔥🔥
3,112 starsPythonGPL-3.0Last push Nov 18, 2023
Rank 87: ultralytics/ultralytics
Ultralytics YOLO27, YOLO26, YOLO11, YOLOv8 — object detection, instance segmentation, semantic segmentation, image classification, pose estimation, object tracking
62,613 starsPythonAGPL-3.0Last push Oct 18, 2026
Rank 114: roboflow/supervision
We write your reusable computer vision tools. 💜
51,241 starsPythonMITLast push Oct 17, 2026
Rank 759: CVHub520/X-AnyLabeling
X-AnyLabeling: A lightweight, efficient, and unified cross-platform desktop application for annotating text, image, video, point cloud and multimodal data, combining versatile bui…
10,729 starsPythonGPL-3.0Last push Oct 18, 2026