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YOLOv3 PyTorch vs. YOLOR

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YOLOv3 PyTorch vs. YOLOR

Both

YOLOv3 PyTorch

and

YOLOR

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

YOLOv3 PyTorch

and

YOLOR

.

  YOLOv3 PyTorch YOLOR
Date of Release Apr 08, 2018 May 10, 2021
Model Type Object Detection Object Detection
Architecture YOLO CNN, YOLO
GitHub Stars 6800 1800

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

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
Learn more about YOLOv3 PyTorch
Learn more about YOLOR

Compare YOLOv3 PyTorch to other models

MobileNet V2 Classification
MobileNet SSD v2
YOLOv4 PyTorch
YOLOv4 Darknet
YOLOv4 Tiny

Compare YOLOR to other models

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YOLOv8
YOLOv7 Instance Segmentation
OneFormer
MobileNet V2 Classification

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