Models
YOLOv5 vs. MobileNet V2 Classification

YOLOv5 vs. MobileNet V2 Classification

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

Models

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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
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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
Model Type
Object Detection
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Classification
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Model Features
Item 1 Info
Item 2 Info
Architecture
CNN, YOLO
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Frameworks
PyTorch
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Annotation Format
Instance Segmentation
Instance Segmentation
GitHub Stars
46k+
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License
AGPL-3.0
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Training Notebook

Compare YOLOv5 and MobileNet V2 Classification with Autodistill

Models

YOLOv5 vs. MobileNet V2 Classification

.

Both

YOLOv5

and

MobileNet V2 Classification

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

YOLOv5

and

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

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

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

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