computer vision

Computer

Media and Images are often the starting point for most user journeys in today’s Digital Universe. Growing access to Digital images is one of the reasons for the growing popularity of Computer Vision Applications. Deep Learning systems can process visual information available in Digital format and identify specific objects and categorizing them based on their content and properties.

The true value of a Model is a function of how well the Model fits the Data. Our Data scientists at Fullestop choose the right Architecture and Algorithms to design your CV systems that optimally translate the visual understanding of the Real World Digital Images. We use Deep Learning and Convolutional Neural Networks to parse digital images through the process of Algorithm Selection, Parameter Tuning, Modeling, Model assessment and Benchmarking. We understand the goals and pick the perfect model that truly works for your specific needs.

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What we Do

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    Image
    Localization
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    Edge
    Detection
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    Semantic Segmentation
    and Classification
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    Feature Detection
    and Matching

Technologies we Use

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    OpenCV
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    TensorFlow
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    Keras

We love to talk. Get in touch for a consultation with our Data Scientists and Infrastructure Architects
to discuss your project and explore the idea.

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  • Detailed Estimation