SegFormer vs. YOLOv3 Keras: Compared and Contrasted

Models

SegFormer

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

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.

Learn more about YOLOv3 Keras

Model Type

Semantic Segmentation

Object Detection

Model Features

Item 1 Info

Item 2 Info

Architecture

Transformers

YOLO

Frameworks

PyTorch

Keras

Annotation Format

Instance Segmentation

GitHub

View Repo

GitHub Stars

2.2k+

7.1k+

License

NVIDIA Source Code

MIT

Paper

Training Notebook

Deploy Model

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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

	SegFormer	YOLOv3 Keras
Date of Release	May 31, 2021
Model Type	Semantic Segmentation	Object Detection
Architecture	Transformers	YOLO
GitHub Stars	2200	7100

SegFormer

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

How to Augment How to Label How to Plot Predictions How to Filter Predictions How to Create a Confusion Matrix

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.

How to Augment How to Label How to Plot Predictions How to Filter Predictions How to Create a Confusion Matrix

Learn more about SegFormer

Learn more about YOLOv3 Keras