Models
SegFormer vs. YOLOv3 Keras

SegFormer vs. YOLOv3 Keras

Both SegFormer and YOLOv3 Keras are commonly used in computer vision projects. Below, we compare and contrast SegFormer and YOLOv3 Keras.

Models

icon-model

SegFormer

SegFormer is a computer vision framework used in semantic segmentation tasks, implemented with transformers.
icon-model

YOLOv3 Keras

Though it is no longer the most accurate object detection algorithm, YOLO v3 is still a very good choice when you need real-time detection while maintaining excellent accuracy. Keras implementation.
Model Type
Semantic Segmentation
--
Object Detection
--
Model Features
Item 1 Info
Item 2 Info
Architecture
Transformers
--
YOLO
--
Frameworks
PyTorch
--
Keras
--
Annotation Format
Instance Segmentation
Instance Segmentation
GitHub Stars
2.2k+
--
7.1k+
--
License
NVIDIA Source Code
--
MIT
--
Training Notebook

Compare SegFormer and YOLOv3 Keras with Autodistill

Compare SegFormer vs. YOLOv3 Keras

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.