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YOLOv4 Tiny vs. YOLOR

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YOLOv4 Tiny vs. YOLOR

Both

YOLOv4 Tiny

and

YOLOR

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

YOLOv4 Tiny

and

YOLOR

.

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

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

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 YOLOv4 Tiny
Learn more about YOLOR

Compare YOLOv4 Tiny to other models

MobileNet V2 Classification
MobileNet SSD v2
YOLOv3 Keras
YOLOv3 PyTorch
ResNet 32

Compare YOLOR to other models

YOLOv8 Instance Segmentation
YOLOv8
YOLOv7 Instance Segmentation
OneFormer
MobileNet V2 Classification

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