Models
MT-YOLOv6 vs. YOLOR

MT-YOLOv6 vs. YOLOR

Both MT-YOLOv6 and YOLOR are commonly used in computer vision projects. Below, we compare and contrast MT-YOLOv6 and YOLOR.

Models

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MT-YOLOv6

MT-YOLOv6 is a YOLO based model released in 2022.
Learn more about MT-YOLOv6
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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
CNN, YOLO
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CNN, YOLO
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Frameworks
PyTorch
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PyTorch
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Annotation Format
Instance Segmentation
Instance Segmentation
GitHub Stars
5.5k+
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2k+
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License
GPL-3.0
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GPL-3.0
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Training Notebook

Compare MT-YOLOv6 and YOLOR with Autodistill

Models

MT-YOLOv6 vs. YOLOR

.

Both

MT-YOLOv6

and

YOLOR

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

MT-YOLOv6

and

YOLOR
  MT-YOLOv6 YOLOR
Date of Release Jun 23, 2022 May 10, 2021
Model Type Object Detection Object Detection
Architecture CNN, YOLO CNN, YOLO
GitHub Stars 5500 2000

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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