YOLOv8 vs. MT-YOLOv6

Both YOLOv8 and MT-YOLOv6 are commonly used in computer vision projects. Below, we compare and contrast YOLOv8 and MT-YOLOv6.

Models

YOLOv8

YOLOv8 is a state-of-the-art object detection and image segmentation model created by Ultralytics, the developers of YOLOv5.

Learn more about YOLOv8

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

YOLO, CNN

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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

21.1k+

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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 YOLOv8 and MT-YOLOv6 with Autodistill

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YOLOv8 vs. MT-YOLOv6

YOLOv8 vs. MT-YOLOv6

.

Both

YOLOv8

and

MT-YOLOv6

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

YOLOv8

and

MT-YOLOv6

	YOLOv8	MT-YOLOv6
Date of Release	Jan 10, 2023	Jun 23, 2022
Model Type	Object Detection	Object Detection
Architecture	YOLO, CNN	CNN, YOLO
GitHub Stars	21100	5500

YOLOv8

YOLOv8 is a state-of-the-art object detection and image segmentation model created by Ultralytics, the developers of YOLOv5.

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 YOLOv8

Learn more about MT-YOLOv6

Compare YOLOv8 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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