Models
YOLOv8 vs. YOLOR

YOLOv8 vs. YOLOR

Both YOLOv8 and YOLOR are commonly used in computer vision projects. Below, we compare and contrast YOLOv8 and YOLOR.

Models

icon-model

YOLOv8

YOLOv8 is a state-of-the-art object detection and image segmentation model created by Ultralytics, the developers of YOLOv5.
Learn more about YOLOv8
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
YOLO, CNN
--
CNN, YOLO
--
Frameworks
PyTorch
--
PyTorch
--
Annotation Format
Instance Segmentation
Instance Segmentation
GitHub Stars
21.1k+
--
2k+
--
License
AGPL-3.0
--
GPL-3.0
--
Training Notebook

Compare YOLOv8 and YOLOR with Autodistill

Models

YOLOv8 vs. YOLOR

.

Both

YOLOv8

and

YOLOR

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

YOLOv8

and

YOLOR
  YOLOv8 YOLOR
Date of Release Jan 10, 2023 May 10, 2021
Model Type Object Detection Object Detection
Architecture YOLO, CNN CNN, YOLO
GitHub Stars 21100 2000

YOLOv8

YOLOv8 is a state-of-the-art object detection and image segmentation model created by Ultralytics, the developers of YOLOv5.

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