Models
RF-DETR vs. SegFormer

RF-DETR vs. SegFormer

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

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

SegFormer

SegFormer is a computer vision framework used in semantic segmentation tasks, implemented with transformers.
Model Type
Object Detection
--
Semantic Segmentation
--
Model Features
Item 1 Info
Item 2 Info
Architecture
Transformers
--
Transformers
--
Frameworks
--
PyTorch
--
Annotation Format
Instance Segmentation
Instance Segmentation
GitHub Stars
--
2.2k+
--
License
Apache 2.0
--
NVIDIA Source Code
--
Training Notebook

Compare RF-DETR and SegFormer with Autodistill

Compare RF-DETR vs. SegFormer

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.