MobileNet V1 0.50 128
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A pre-trained image classification model that predicts classes based on input images, using TensorFlow technology.
Developer
Amazon Web Services (AWS)
HQ Location
Seattle, WA
Year Founded
2006
Number of Employees
127,329
Twitter
Strengths
  • Efficient

    Low computational cost and memory footprint

  • Lightweight

    Small model size for easy deployment on mobile devices

  • Accurate

    Good performance on image classification tasks

Weaknesses
  • Limited

    May not perform well on more complex tasks or larger datasets

  • Restricted

    Designed specifically for image classification, may not be suitable for other computer vision tasks

  • Outdated

    Released in 2017, may not be as state-of-the-art as newer models

Opportunities
  • Growing demand for mobile-friendly machine learning models
  • Potential use in low-resource settings where computational power and memory are limited
  • Potential for transfer learning to adapt the model to new tasks or datasets
Threats
  • Increasing number of similar lightweight models being developed
  • May not be able to keep up with more complex or demanding tasks
  • Potential for misuse of image classification models in surveillance or other sensitive applications

Ask anything of MobileNet V1 0.50 128 with Workflos AI Assistant

https://aws.amazon.com/rds/?trk=726d9e3d-74df-49f0-9e85-c24682ddde4e&sc_channel=el
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MobileNet V1 0.50 128 Plan

MobileNet V1 0.50 128 is a low-cost version of MobileNet V1 with reduced complexity and lower accuracy.
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