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YOLOR vs. YOLOv4 Tiny

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YOLOR vs. YOLOv4 Tiny

Both

YOLOR

and

YOLOv4 Tiny

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

YOLOR

and

YOLOv4 Tiny

.

  YOLOR YOLOv4 Tiny
Date of Release May 10, 2021 Nov 09, 2020
Model Type Object Detection Object Detection
Architecture CNN, YOLO ResNet-D, YOLO
GitHub Stars 1800

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

YOLOv4 Tiny

The tiny and fast version of YOLOv4 - good for training and deployment on limited compute resources, and getting a feel for your dataset

How to AugmentHow to LabelHow to Plot PredictionsHow to Filter PredictionsHow to Create a Confusion Matrix
Learn more about YOLOR
Learn more about YOLOv4 Tiny

Compare YOLOR to other models

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

Compare YOLOv4 Tiny to other models

YOLOv8 Instance Segmentation
YOLOv8
YOLOv7 Instance Segmentation
OneFormer
MobileNet V2 Classification

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