Models
Scaled-YOLOv4 vs. MobileNet V2 Classification

Scaled-YOLOv4 vs. MobileNet V2 Classification

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

Models

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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
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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
YOLO
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Frameworks
PyTorch
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Annotation Format
Instance Segmentation
Instance Segmentation
GitHub Stars
2k+
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License
GPL-3.0
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Training Notebook

Compare Scaled YOLOv4 and MobileNet V2 Classification with Autodistill

Models

Scaled-YOLOv4 vs. MobileNet V2 Classification

.

Both

Scaled YOLOv4

and

MobileNet V2 Classification

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

Scaled YOLOv4

and

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

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

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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