Models
YOLOS vs. MobileNet SSD v2

YOLOS vs. MobileNet SSD v2

Both YOLOS and MobileNet SSD v2 are commonly used in computer vision projects. Below, we compare and contrast YOLOS and MobileNet SSD v2.

Models

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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
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MobileNet SSD v2

This architecture provides good realtime results on limited compute. It's designed to run in realtime (30 frames per second) even on mobile devices.
Learn more about MobileNet SSD v2
Model Type
Object Detection
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Object Detection
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Model Features
Item 1 Info
Item 2 Info
Architecture
Transformer, YOLO
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Frameworks
PyTorch
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TensorFlow 1.5
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Annotation Format
Instance Segmentation
Instance Segmentation
GitHub Stars
812+
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81+
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License
MIT
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MIT
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Training Notebook

Compare YOLOS and MobileNet SSD v2 with Autodistill

Models

YOLOS vs. MobileNet SSD v2

.

Both

YOLOS

and

MobileNet SSD v2

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

YOLOS

and

MobileNet SSD v2
  YOLOS MobileNet SSD v2
Date of Release Jun 01, 2021 Jan 13, 2018
Model Type Object Detection Object Detection
Architecture Transformer, YOLO
GitHub Stars 812 81

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

MobileNet SSD v2

This architecture provides good realtime results on limited compute. It's designed to run in realtime (30 frames per second) even on mobile devices.

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

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