Project about Computer Vision
Question Description
Topic:
You can choose any topic, such as face recognition, image recognition, covid-19 distribution and so on.
Requirements:
Must create a Create a computer vision application and deploy it to the edge-based inference platform.
Must have trained the model yourself
Must use a real data set (not fake data set, i.e. randomly generated numbers)
Must be original work (not a copy of a Kaggle project, etc.)
Two Page Report explaining your findings. Must be exactly two pages.
It’s best to have a five-minute speech draft
Colab Notebook Documentation:
Must explain in detail accuracy of model
Explain the tradeoffs you made
Do exploratory data exploration
There is detailed code and explanation in Colab.
The format will be as follows:
Required Format: Jupyter Notebook
Two Page Report explaining your findings. Must be exactly two pages.
You can leverage the GCP.
Project will be judged according to criteria
Reproducibility of the Project:Is every step reproducible in Jupyter notebook? Creativity:Did you create new insights that you shared to the class?
Craftsmanship:Did you take care in crafting your presentation and put thought into little details like thoughtful data visualization?
Difficulty: Was this a challenging problem you tackled?
ML Technique:How did you approach the problem?
Software Engineering Carpentry: Did you apply software engineering best practices? Resume Worthiness: Will this project get you a job?
How well does your two-page report explain your project?
You can get a general idea of the content according to the attachment.
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