Platinum IV
1,668 Elo
- #2,597 on the ladder
- −3 today · +36 this week
- Peak 1,674
RF-DETR is a real-time object detection and segmentation model architecture developed by Roboflow, SOTA on COCO, designed for fine-tuning. [ICLR 2026]
roboflow/rf-detr is #2,597 on the bestofgithub Elo ladder, in Platinum IV, with a rating of 1,668 (+36 this week). It has 10,070 stars, 64 gained in the last week.
1,668 Elo
10,070
git clone https://github.com/roboflow/rf-detr.gitDatasets, Transforms and Models specific to Computer Vision
git clone https://github.com/pytorch/vision.gitMask R-CNN for object detection and instance segmentation on Keras and TensorFlow
git clone https://github.com/matterport/Mask_RCNN.git记录每天整理的计算机视觉/深度学习/机器学习相关方向的论文
git clone https://github.com/amusi/daily-paper-computer-vision.gitWe write your reusable computer vision tools. 💜
pip install supervisionOpenMMLab Detection Toolbox and Benchmark
git clone https://github.com/open-mmlab/mmdetection.gitObject Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object tracking and real-time multi-person keypoint detection.
git clone https://github.com/PaddlePaddle/PaddleDetection.gitLoading README…