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Take home exam 2 (due: by 23:59 Nov.10)Computer VisionAbout take home exams : Two implementation problems for each : About the code. Matlab & C++ are fine. Any other? Discussion is allowed (actually
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Understand the requirements and goals of the mobile vision algorithms.
02
Choose a programming language and framework suitable for mobile development.
03
Collect and preprocess the data needed for training the vision algorithms.
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Design and implement the neural network architecture for the vision algorithms.
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Train the vision algorithms using the collected data.
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Evaluate the performance of the vision algorithms using metrics such as accuracy and speed.
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Optimize the vision algorithms for mobile devices in terms of memory and computation resources.

Who needs vision algorithms for mobile?

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Mobile app developers looking to implement augmented reality features in their apps.
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Companies developing camera-based applications such as image recognition, object detection, and face recognition.
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Researchers working on computer vision projects that require mobile deployment.
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Vision algorithms for mobile are algorithms that are designed to analyze visual data captured by mobile device cameras.
Developers and companies that create mobile applications or software with vision algorithms are required to file.
Vision algorithms for mobile can be filled out by providing information on the specific algorithms used, their functionality, and any potential risks or biases.
The purpose of vision algorithms for mobile is to enable mobile devices to interpret and analyze visual data, such as images and videos.
Information such as the type of algorithms used, their accuracy, potential biases, and any data collected or generated by the algorithms must be reported.
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