Models
YOLOv4 Tiny vs. YOLOR

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.

Models

icon-model

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
Learn more about YOLOv4 Tiny
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YOLOR

YOLOR (You Only Learn One Representation) is an object detection model that uses both implicit and explicit knowledge to make predictions.
Learn more about YOLOR
Model Type
Object Detection
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Object Detection
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Model Features
Item 1 Info
Item 2 Info
Architecture
ResNet-D, YOLO
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CNN, YOLO
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Frameworks
Darknet
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PyTorch
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Annotation Format
Instance Segmentation
Instance Segmentation
GitHub Stars
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2k+
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License
YOLO
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GPL-3.0
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Training Notebook

Compare YOLOv4 Tiny and YOLOR with Autodistill

Models

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 2000

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

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