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YOLOR vs. YOLOv5

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YOLOR vs. YOLOv5

Both

YOLOR

and

YOLOv5

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

YOLOR

and

YOLOv5

.

  YOLOR YOLOv5
Date of Release May 10, 2021 Jan 06, 2020
Model Type Object Detection Object Detection
Architecture CNN, YOLO CNN, YOLO
GitHub Stars 1800 33200

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

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
Learn more about YOLOR
Learn more about YOLOv5

Compare YOLOR to other models

MobileNet V2 Classification
MobileNet SSD v2
YOLOv3 Keras
YOLOv3 PyTorch
YOLOv4 PyTorch

Compare YOLOv5 to other models

YOLOv8 Instance Segmentation
YOLOv8
YOLOv7 Instance Segmentation
OneFormer
MobileNet V2 Classification

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