Models

YOLOR vs. Scaled-YOLOv4

Both

YOLOR

and

Scaled YOLOv4

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

YOLOR

and

Scaled YOLOv4

.

  YOLOR Scaled YOLOv4
Date of Release May 10, 2021
Model Type Object Detection Object Detection
Architecture CNN, YOLO
GitHub Stars 1800 2000

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

Scaled YOLOv4

Scaled YOLOv4 is an extension of the YOLOv4 research implemented in the YOLOv5 PyTorch framework.

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