Models
YOLOS vs. YOLOv3 PyTorch

YOLOS vs. YOLOv3 PyTorch

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

Models

icon-model

YOLOS

YOLOS looks at patches of an image to to form "patch tokens", which are used in place of the traditional wordpiece tokens in NLP.
Learn more about YOLOS
icon-model

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
Object Detection
--
Object Detection
--
Model Features
Item 1 Info
Item 2 Info
Architecture
Transformer, YOLO
--
YOLO
--
Frameworks
PyTorch
--
PyTorch
--
Annotation Format
Instance Segmentation
Instance Segmentation
GitHub Stars
812+
--
7.2k+
--
License
MIT
--
GPL-3.0
--
Training Notebook

Compare YOLOS and YOLOv3 PyTorch with Autodistill

Models

YOLOS vs. YOLOv3 PyTorch

.

Both

YOLOS

and

YOLOv3 PyTorch

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

YOLOS

and

YOLOv3 PyTorch
  YOLOS YOLOv3 PyTorch
Date of Release Jun 01, 2021 Apr 08, 2018
Model Type Object Detection Object Detection
Architecture Transformer, YOLO YOLO
GitHub Stars 812 7200

YOLOS

YOLOS looks at patches of an image to to form "patch tokens", which are used in place of the traditional wordpiece tokens in NLP.

How to AugmentHow to LabelHow to Plot PredictionsHow to Filter PredictionsHow 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 AugmentHow to LabelHow to Plot PredictionsHow to Filter PredictionsHow to Create a Confusion Matrix

Deploy a computer vision model today

Join 250,000 developers curating high quality datasets and deploying better models with Roboflow.

Get started