Models
YOLOX vs. SegFormer

YOLOX vs. SegFormer

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

Models

icon-model

YOLOX

YOLOX is a high-performance object detection model.
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
CNN, YOLO
--
Transformers
--
Frameworks
PyTorch
--
PyTorch
--
Annotation Format
Instance Segmentation
Instance Segmentation
GitHub Stars
8.9k+
--
2.2k+
--
License
Apache-2.0
--
NVIDIA Source Code
--
Training Notebook

Compare YOLOX and SegFormer with Autodistill

Compare YOLOX 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.