MobileNet V2 Classification vs. MT-YOLOv6

Both MobileNet V2 Classification and MT-YOLOv6 are commonly used in computer vision projects. Below, we compare and contrast MobileNet V2 Classification and MT-YOLOv6.

Models

MobileNet V2 Classification

MobileNet is a GoogleAI model well-suited for on-device, real-time classification (distinct from MobileNetSSD, Single Shot Detector). This implementation leverages transfer learning from ImageNet to your dataset.

Learn more about MobileNet V2 Classification

MT-YOLOv6

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

Learn more about MT-YOLOv6

Model Type

Classification

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Object Detection

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Model Features

Item 1 Info

Item 2 Info

Architecture

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CNN, YOLO

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Frameworks

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PyTorch

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Annotation Format

Instance Segmentation

Instance Segmentation

GitHub

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GitHub Stars

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5.5k+

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License

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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 MobileNet V2 Classification and MT-YOLOv6 with Autodistill

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MobileNet V2 Classification vs. MT-YOLOv6

MobileNet V2 Classification vs. MT-YOLOv6

.

Both

MobileNet V2 Classification

and

MT-YOLOv6

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

MobileNet V2 Classification

and

MT-YOLOv6

	MobileNet V2 Classification	MT-YOLOv6
Date of Release		Jun 23, 2022
Model Type	Classification	Object Detection
Architecture		CNN, YOLO
GitHub Stars		5500

MobileNet V2 Classification

MobileNet is a GoogleAI model well-suited for on-device, real-time classification (distinct from MobileNetSSD, Single Shot Detector). This implementation leverages transfer learning from ImageNet to your dataset.

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 MobileNet V2 Classification

Learn more about MT-YOLOv6

Compare MobileNet V2 Classification to other models

Compare MT-YOLOv6 to other models

YOLOv8 Instance Segmentation

YOLOv7 Instance Segmentation

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