Models
YOLOR vs. YOLOv7

YOLOR vs. YOLOv7

Both YOLOR and YOLOv7 are commonly used in computer vision projects. Below, we compare and contrast YOLOR and YOLOv7.

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

YOLOv7

YOLOv7 is a state of the art object detection model.
Learn more about YOLOv7
Model Type
Object Detection
--
Object Detection
--
Model Features
Item 1 Info
Item 2 Info
Architecture
CNN, YOLO
--
YOLO, CNN
--
Frameworks
PyTorch
--
PyTorch
--
Annotation Format
Instance Segmentation
Instance Segmentation
GitHub Stars
2k+
--
12.5k+
--
License
GPL-3.0
--
GPL-3.0
--
Training Notebook

Compare YOLOR and YOLOv7 with Autodistill

Models

YOLOR vs. YOLOv7

.

Both

YOLOR

and

YOLOv7

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

YOLOR

and

YOLOv7
  YOLOR YOLOv7
Date of Release May 10, 2021 Jul 06, 2022
Model Type Object Detection Object Detection
Architecture CNN, YOLO YOLO, CNN
GitHub Stars 2000 12500

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