YOLOv5 vs. MT-YOLOv6

Both YOLOv5 and MT-YOLOv6 are commonly used in computer vision projects. Below, we compare and contrast YOLOv5 and MT-YOLOv6.

Models

YOLOv5

A very fast and easy to use PyTorch model that achieves state of the art (or near state of the art) results.

Learn more about YOLOv5

MT-YOLOv6

MT-YOLOv6 is a YOLO based model released in 2022.

Learn more about MT-YOLOv6

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

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GitHub Stars

46k+

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5.5k+

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License

AGPL-3.0

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GPL-3.0

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Paper

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Training Notebook

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Deploy Model

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Deploy with Roboflow

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Deploy with Roboflow

Compare YOLOv5 and MT-YOLOv6 with Autodistill

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YOLOv5 vs. MT-YOLOv6

YOLOv5 vs. MT-YOLOv6

.

Both

YOLOv5

and

MT-YOLOv6

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

YOLOv5

and

MT-YOLOv6

	YOLOv5	MT-YOLOv6
Date of Release	Jan 06, 2020	Jun 23, 2022
Model Type	Object Detection	Object Detection
Architecture	CNN, YOLO	CNN, YOLO
GitHub Stars	33200	5500

YOLOv5

A very fast and easy to use PyTorch model that achieves state of the art (or near state of the art) results.

How to Augment How to Label How to Plot Predictions How to Filter Predictions How to Create a Confusion Matrix

MT-YOLOv6

MT-YOLOv6 is a YOLO based model released in 2022.

How to Augment How to Label How to Plot Predictions How to Filter Predictions How to Create a Confusion Matrix

Learn more about YOLOv5

Learn more about MT-YOLOv6

Compare YOLOv5 to other models

MobileNet V2 Classification

MobileNet SSD v2

Compare MT-YOLOv6 to other models

YOLOv8 Instance Segmentation

YOLOv7 Instance Segmentation

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