Models
YOLOS vs. YOLOR

YOLOS vs. YOLOR

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

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

YOLOR

YOLOR (You Only Learn One Representation) is an object detection model that uses both implicit and explicit knowledge to make predictions.
Learn more about YOLOR
Model Type
Object Detection
--
Object Detection
--
Model Features
Item 1 Info
Item 2 Info
Architecture
Transformer, YOLO
--
CNN, YOLO
--
Frameworks
PyTorch
--
PyTorch
--
Annotation Format
Instance Segmentation
Instance Segmentation
GitHub Stars
812+
--
2k+
--
License
MIT
--
GPL-3.0
--
Training Notebook

Compare YOLOS and YOLOR with Autodistill

Models

YOLOS vs. YOLOR

.

Both

YOLOS

and

YOLOR

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

YOLOS

and

YOLOR
  YOLOS YOLOR
Date of Release Jun 01, 2021 May 10, 2021
Model Type Object Detection Object Detection
Architecture Transformer, YOLO CNN, YOLO
GitHub Stars 812 2000

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

YOLOR

YOLOR (You Only Learn One Representation) is an object detection model that uses both implicit and explicit knowledge to make predictions.

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