Models
RF-DETR vs. YOLOS

RF-DETR vs. YOLOS

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

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

YOLOS

YOLOS looks at patches of an image to to form "patch tokens", which are used in place of the traditional wordpiece tokens in NLP.
Model Type
Object Detection
--
Object Detection
--
Model Features
Item 1 Info
Item 2 Info
Architecture
Transformers
--
Transformer, YOLO
--
Frameworks
--
PyTorch
--
Annotation Format
Instance Segmentation
Instance Segmentation
GitHub Stars
--
812+
--
License
Apache 2.0
--
MIT
--
Training Notebook

Compare RF-DETR and YOLOS with Autodistill

Compare RF-DETR vs. YOLOS

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.