rf-detr

by roboflow · Machine Learning

RF-DETR is a real-time object detection and segmentation model architecture developed by Roboflow, SOTA on COCO, designe

New0 ratings9,364 starsActive
Machine LearningAI ApplicationPythoncomputer-vision
Open project ↗↓ Download 1.10.1GitHub⚑ Report
rf-detr preview

About this project

RF-DETR: Real-Time SOTA Object Detection, Instance Segmentation, and Keypoint Detection 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, RF-DETR delivers state-of-the-art accuracy and latency trade-offs on Microsoft COCO and RF100-VL. RF-DETR uses a DINOv2 vision transformer backbone and supports object detection, instance segmentation, and keypoint detection (preview) in a single, consistent API. The open-source rfdetr package and Apache-designated models are released under Apache 2.0, while Plus components (rfdetrplus,…

Technologies

Pythoncomputer-visiondetrinstance-segmentation

Project health

Actively maintained
Last updateyesterday
Contributors95
Latest release1.10.1
Open issues & PRs94
LicenseApache-2.0
On GitHubsince 2025

GitHub

9,364
stars
1,185
forks
95
contributors
94
open issues & PRs
Python
language
yesterday
last commit
View on GitHub ↗All releases ↗

Reviews

out of 5 · 0 ratings
★★★★★
0%
★★★★
0%
★★★
0%
★★
0%
0%
Sign in to write a review
No reviews yet
Be the first to review rf-detr.

Built by

roboflow
Imported from GitHub · not yet claimed on GitPalace
View developer pageSign in with GitHub to claim

Maintain roboflow/rf-detr? Claiming verifies admin access through your GitHub account and gives you control of this listing.

You might also like