Models
RF-DETR vs. YOLOR

RF-DETR vs. YOLOR

Both RF-DETR and YOLOR are commonly used in computer vision projects. Below, we compare and contrast RF-DETR and YOLOR.

Models

icon-model

RF-DETR

RF-DETR is a SOTA, real-time object detection model architecture developed by Roboflow and released under the Apache 2.0 license.
icon-model

YOLOR

YOLOR (You Only Learn One Representation) is an object detection model that uses both implicit and explicit knowledge to make predictions.
Model Type
Object Detection
--
Object Detection
--
Model Features
Item 1 Info
Item 2 Info
Architecture
Transformers
--
CNN, YOLO
--
Frameworks
--
PyTorch
--
Annotation Format
Instance Segmentation
Instance Segmentation
GitHub Stars
--
2k+
--
License
Apache 2.0
--
GPL-3.0
--
Training Notebook

Compare RF-DETR and YOLOR with Autodistill

Compare RF-DETR vs. YOLOR

Provide your own image below to test YOLOv8 and YOLOv9 model checkpoints trained on the Microsoft COCO dataset.

COCO can detect 80 common objects, including cats, cell phones, and cars.