R
rf-detr
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]
★8.9kstars
Python
Apache-2.0
Updated: Today
📋 Project at a Glance
Tap to expand
What's this?A computer-vision/detr tool in the Models category, built with Python, open-source
Who made it?Maintained by roboflow team, 8.9K⭐ on GitHub, #170 out of 3201 in Models
Why does it exist?In the Models space, computer-vision workflows faced efficiency bottlenecks. rf-detr was built by roboflow to address these detr challenges.
What can it do?Key use cases: instance-segmentation, machine-learning, object-detection
How to install with AI?Use an AI coding assistant (Claude Code, Cursor, Copilot) to automatically set up pip dependencies and virtual env. Follow the README — the AI handles the rest.
🔗 github.com/roboflow/rf-detr | 官网 https://rfdetr.roboflow.com
🔗 github.com/roboflow/rf-detr | 官网 https://rfdetr.roboflow.com
Topics
computer-visiondetrinstance-segmentationmachine-learningobject-detectionrf-detrsota