Models
MobileNet V2 Classification vs. YOLOv5

MobileNet V2 Classification vs. YOLOv5

Both MobileNet V2 Classification and YOLOv5 are commonly used in computer vision projects. Below, we compare and contrast MobileNet V2 Classification and YOLOv5.

Models

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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
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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
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 Stars
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46k+
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License
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AGPL-3.0
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Training Notebook

Compare MobileNet V2 Classification and YOLOv5 with Autodistill

Models

MobileNet V2 Classification vs. YOLOv5

.

Both

MobileNet V2 Classification

and

YOLOv5

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

MobileNet V2 Classification

and

YOLOv5
  MobileNet V2 Classification YOLOv5
Date of Release Jan 06, 2020
Model Type Classification Object Detection
Architecture CNN, YOLO
GitHub Stars 33200

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 AugmentHow to LabelHow to Plot PredictionsHow to Filter PredictionsHow to Create a Confusion Matrix

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 AugmentHow to LabelHow to Plot PredictionsHow to Filter PredictionsHow to Create a Confusion Matrix

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