Models
YOLOv5 vs. YOLOR

YOLOv5 vs. YOLOR

Both YOLOv5 and YOLOR are commonly used in computer vision projects. Below, we compare and contrast YOLOv5 and YOLOR.

Models

icon-model

YOLOv5

A very fast and easy to use PyTorch model that achieves state of the art (or near state of the art) results.
Learn more about YOLOv5
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
CNN, YOLO
--
CNN, YOLO
--
Frameworks
PyTorch
--
PyTorch
--
Annotation Format
Instance Segmentation
Instance Segmentation
GitHub Stars
46k+
--
2k+
--
License
AGPL-3.0
--
GPL-3.0
--
Training Notebook

Compare YOLOv5 and YOLOR with Autodistill

Models

YOLOv5 vs. YOLOR

.

Both

YOLOv5

and

YOLOR

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

YOLOv5

and

YOLOR
  YOLOv5 YOLOR
Date of Release Jan 06, 2020 May 10, 2021
Model Type Object Detection Object Detection
Architecture CNN, YOLO CNN, YOLO
GitHub Stars 33200 2000

YOLOv5

A very fast and easy to use PyTorch model that achieves state of the art (or near state of the art) results.

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