Models
MobileNet V2 Classification vs. YOLOS

MobileNet V2 Classification vs. YOLOS

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

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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YOLOS

YOLOS looks at patches of an image to to form "patch tokens", which are used in place of the traditional wordpiece tokens in NLP.
Learn more about YOLOS
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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Transformer, 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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812+
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License
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MIT
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Training Notebook

Compare MobileNet V2 Classification and YOLOS with Autodistill

Models

MobileNet V2 Classification vs. YOLOS

.

Both

MobileNet V2 Classification

and

YOLOS

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

MobileNet V2 Classification

and

YOLOS
  MobileNet V2 Classification YOLOS
Date of Release Jun 01, 2021
Model Type Classification Object Detection
Architecture Transformer, YOLO
GitHub Stars 812

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

YOLOS

YOLOS looks at patches of an image to to form "patch tokens", which are used in place of the traditional wordpiece tokens in NLP.

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

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