MT-YOLOv6 vs. YOLOS

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

Models

MT-YOLOv6

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

Learn more about MT-YOLOv6

YOLOS

YOLOS looks at patches of an image to to form "patch tokens", which are used in place of the traditional wordpiece tokens in NLP.

Learn more about YOLOS

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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Transformer, 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

5.5k+

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812+

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License

GPL-3.0

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MIT

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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 MT-YOLOv6 and YOLOS with Autodistill

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MT-YOLOv6 vs. YOLOS

MT-YOLOv6 vs. YOLOS

.

Both

MT-YOLOv6

and

YOLOS

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

MT-YOLOv6

and

YOLOS

	MT-YOLOv6	YOLOS
Date of Release	Jun 23, 2022	Jun 01, 2021
Model Type	Object Detection	Object Detection
Architecture	CNN, YOLO	Transformer, YOLO
GitHub Stars	5500	812

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

YOLOS

YOLOS looks at patches of an image to to form "patch tokens", which are used in place of the traditional wordpiece tokens in NLP.

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

Learn more about MT-YOLOv6

Learn more about YOLOS

Compare MT-YOLOv6 to other models

MobileNet V2 Classification

MobileNet SSD v2

Compare YOLOS to other models

YOLOv8 Instance Segmentation

YOLOv7 Instance Segmentation

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