SSD EfficientDet D1
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A pre-trained model that identifies objects and their positions in an image using bounding boxes. It is trained on COCO 2017 and can identify a list of objects. Uses TensorFlow.
Developer
Amazon Web Services (AWS)
HQ Location
Seattle, WA
Year Founded
2006
Number of Employees
127,329
Twitter
Strengths
  • Efficient Object Detection

    Highly accurate and efficient object detection algorithm

  • Scalability

    Can handle large datasets and scale to meet growing needs

  • Ease of Use

    User-friendly interface and easy to integrate with existing systems

Weaknesses
  • Cost

    Relatively expensive compared to other object detection solutions

  • Limited Features

    May not have all the features required for specific use cases

  • Hardware Requirements

    Requires specialized hardware for optimal performance

Opportunities
  • Increasing demand for object detection solutions in various industries
  • Opportunities to partner with hardware manufacturers to optimize performance
  • Potential to add new features to meet evolving customer needs
Threats
  • Competitors offering similar object detection solutions
  • Emergence of new and more advanced object detection algorithms
  • Potential decrease in demand due to economic factors

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https://aws.amazon.com/rds/?trk=726d9e3d-74df-49f0-9e85-c24682ddde4e&sc_channel=el
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SSD EfficientDet D1 Plan

SSD EfficientDet D1's pricing strategy is to offer a single version at a competitive price point of $799.
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