Models
YOLOR vs. YOLOv3 PyTorch

YOLOR vs. YOLOv3 PyTorch

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

Models

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
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
CNN, YOLO
--
YOLO
--
Frameworks
PyTorch
--
PyTorch
--
Annotation Format
Instance Segmentation
Instance Segmentation
GitHub Stars
2k+
--
7.2k+
--
License
GPL-3.0
--
GPL-3.0
--
Training Notebook

Compare YOLOR and YOLOv3 PyTorch with Autodistill

Models

YOLOR vs. YOLOv3 PyTorch

.

Both

YOLOR

and

YOLOv3 PyTorch

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

YOLOR

and

YOLOv3 PyTorch
  YOLOR YOLOv3 PyTorch
Date of Release May 10, 2021 Apr 08, 2018
Model Type Object Detection Object Detection
Architecture CNN, YOLO YOLO
GitHub Stars 2000 7200

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

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