OneFormer vs. YOLOv3 PyTorch: Compared and Contrasted

Models

OneFormer

OneFormer is a state-of-the-art multi-task image segmentation framework that is implemented using transformers.

YOLOv3 PyTorch

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. PyTorch version.

Learn more about YOLOv3 PyTorch

Model Type

Instance Segmentation

Object Detection

Model Features

Item 1 Info

Item 2 Info

Architecture

Transformers

YOLO

Frameworks

PyTorch

Annotation Format

Instance Segmentation

GitHub

View Repo

GitHub Stars

1.3k+

7.2k+

License

MIT

GPL-3.0

Paper

Training Notebook

Deploy Model

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OneFormer vs. YOLOv3 PyTorch

Both

OneFormer

and

YOLOv3 PyTorch

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

OneFormer

and

YOLOv3 PyTorch

	OneFormer	YOLOv3 PyTorch
Date of Release	Nov 10, 2022	Apr 08, 2018
Model Type	Instance Segmentation	Object Detection
Architecture	Transformers	YOLO
GitHub Stars	1300	7200

OneFormer

OneFormer is a state-of-the-art multi-task image segmentation framework that is implemented using transformers.

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

YOLOv3 PyTorch

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. PyTorch version.

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

Learn more about OneFormer

Learn more about YOLOv3 PyTorch