Models
MobileNet V2 Classification vs. YOLOv3 PyTorch

MobileNet V2 Classification vs. YOLOv3 PyTorch

Both MobileNet V2 Classification and YOLOv3 PyTorch are commonly used in computer vision projects. Below, we compare and contrast MobileNet V2 Classification and YOLOv3 PyTorch.

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.
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YOLOv3 PyTorch

Though it is no longer the most accurate object detection algorithm, YOLO v3 is still a very good choice when you need real-time detection while maintaining excellent accuracy. PyTorch version.
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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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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7.2k+
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License
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GPL-3.0
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Training Notebook

Compare MobileNet V2 Classification and YOLOv3 PyTorch with Autodistill

Models

MobileNet V2 Classification vs. YOLOv3 PyTorch

.

Both

MobileNet V2 Classification

and

YOLOv3 PyTorch

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

MobileNet V2 Classification

and

YOLOv3 PyTorch
  MobileNet V2 Classification YOLOv3 PyTorch
Date of Release Apr 08, 2018
Model Type Classification Object Detection
Architecture YOLO
GitHub Stars 7200

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

YOLOv3 PyTorch

Though it is no longer the most accurate object detection algorithm, YOLO v3 is still a very good choice when you need real-time detection while maintaining excellent accuracy. PyTorch version.

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

Compare MobileNet V2 Classification to other models

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