Models
MobileNet V2 Classification vs. Scaled-YOLOv4

MobileNet V2 Classification vs. Scaled-YOLOv4

Both MobileNet V2 Classification and Scaled YOLOv4 are commonly used in computer vision projects. Below, we compare and contrast MobileNet V2 Classification and Scaled YOLOv4.

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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Scaled YOLOv4

Scaled YOLOv4 is an extension of the YOLOv4 research implemented in the YOLOv5 PyTorch framework.
Learn more about Scaled YOLOv4
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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2k+
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License
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GPL-3.0
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Training Notebook

Compare MobileNet V2 Classification and Scaled YOLOv4 with Autodistill

Models

MobileNet V2 Classification vs. Scaled-YOLOv4

.

Both

MobileNet V2 Classification

and

Scaled YOLOv4

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

MobileNet V2 Classification

and

Scaled YOLOv4
  MobileNet V2 Classification Scaled YOLOv4
Date of Release
Model Type Classification Object Detection
Architecture YOLO
GitHub Stars 2000

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

Scaled YOLOv4

Scaled YOLOv4 is an extension of the YOLOv4 research implemented in the YOLOv5 PyTorch framework.

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

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