YOLOv3 Keras vs. SegFormer: Compared and Contrasted

Models

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

SegFormer

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

Learn more about SegFormer

Model Type

Object Detection

Semantic Segmentation

Model Features

Item 1 Info

Item 2 Info

Architecture

YOLO

Transformers

Frameworks

Keras

PyTorch

Annotation Format

Instance Segmentation

GitHub

View Repo

GitHub Stars

7.1k+

2.2k+

License

MIT

NVIDIA Source Code

Paper

Training Notebook

Deploy Model

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YOLOv3 Keras vs. SegFormer

Both

YOLOv3 Keras

and

SegFormer

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

YOLOv3 Keras

and

SegFormer

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

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